Humans of Martech

What’s up everyone, today we have the pleasure of sitting down with Adam Greco, Field CTO / Product Evangelist at Amplitude. Summary: Adam is a leading voice in digital analytics and he unpacks event-based analytics and how it’s transformed how marketers interact with data. Data tools are complicating the martech landscape with overlapping functionality and confusing terminology so Adam breaks down the nuanced difference between product analytics, customer data infrastructure and ETL. Adam also walks us through how his team combines marketing, product, and experience analytics getting a fuller view that informs smarter, more effective strategies. We also cover the shift to interactive dashboards as well as warehouse native martech and what it means for marketers. Marketers need to work closely with data teams to ensure these new tools are practical without being overwhelmingly complex, allowing them to lead confidently in their industries.About AdamAdam is one of the leading voices in digital analyticsHe’s managed marketing and customer success teams at enterprise companies and consulting firmsHe’s been Senior Director of Marketing and Analytics at Salesforce He spent nearly a decade as a Senior Partner at one of the best-known analytics consultancies in Analytics Demystified where he’s advised hundreds of organizations on analytics best practicesHe’s been a Board Advisor at various well-known startups, analytics associations, capital funds and universities He’s authored over 300 blogs and one book related to analyticsHe’s a frequent speaker at big-name analytics conferencesToday he’s Field CTO at Amplitude, where he focuses on providing content, education, and strategic advice on how to build better productsUnderstanding Event Based AnalyticsAdam unpacks the shift towards event-based analytics, a concept that may seem confusing to those accustomed to traditional digital analytics. He explains that back when the internet was simpler and mostly about websites, tracking was straightforward: look at pageviews and sessions and hope for conversions. But as technology evolved—think smartphones and apps—the old methods became less effective.Mobile apps changed the game. Interactions on these platforms are brief and frequent, shifting the focus from long sessions to brief, meaningful interactions, each marked as an event. Adam points out that his company, Amplitude, was at the forefront of adopting this approach, realizing that tracking every tap and swipe gave a clearer picture of user engagement than the traditional methods.As both websites and apps became integral to user experience, the analytics field faced a choice: stick with the old or adapt to the new. The answer was overwhelmingly in favor of event-based analytics. Major players like Google and Adobe redefined sessions as just another event, creating a unified model that could track interactions across platforms, be they digital or physical, like visiting a store or calling customer support.This evolution means marketers can now see a fuller, more dynamic view of how users engage across different platforms. Understanding that a session is a collection of events, rather than a fixed time slot, offers a richer, more nuanced understanding of user behavior.Key takeaway: Embracing event-based analytics allows marketers to capture the full spectrum of customer interactions, offering a granular view that is vital for crafting targeted, effective marketing strategies. This approach not only keeps pace with the evolving tech landscape but also provides the insights needed to enhance customer engagement and satisfaction.Product Analytics vs Customer Data Infrastructure vs ETLAdam explains the evolving landscape of martech tools, focusing on how they intersect and differ, simplifying a topic that can be quite bewildering for even experienced marketers. Initially, the task for marketers was to employ simple tools provided by companies like Google or Adobe, which handled data collection via embedded codes on websites or apps. These tools offered convenience but at the cost of flexibility and depth in data manipulation.With the advent of more specialized tools, the dynamics changed. Customer Data Infrastructure (CDI) tools like Jitsu, MetaRouter, and Rudderstack focus mainly on collecting first-party data from apps and websites, pushing this information directly into data warehouses. They don’t delve into analytics but excel at gathering clean, structured data.On the other hand, Extract, Transform, Load (ETL) tools such as Airbyte and Fivetran specialize in integrating data from various third-party tools into a central warehouse. They transform the data during this process to ensure it fits well within the existing structures and schemas of a company’s database, enhancing the data’s utility for comprehensive analysis.Customer Data Platforms (CDP) like mParticle and Segment represent a more holistic approach, incorporating features of both CDI and ETL. They not only agg

What’s up everyone, today we have the pleasure of sitting down with Mandy Thompson, CEO and Co-Founder of Digital Reach. Summary: Mandy shares powerful mindsets and practical frameworks for marketers aiming to future-proof their careers in the complex galaxy of martech mixed up with AI, data privacy, and genuine customer engagement. We cover the art of documentation to avoid feeling like you’re in an Indiana Jones adventure sifting through digital cobwebs from ghosts of marketers past when you dive into a company’s martech setup. We also examined the use of intent data, urging a balanced approach that respects privacy. She highlighted her practical use of virtual whiteboarding to pre-plan automations and using ChatGPT for marketing automation use cases. Most importantly, Mandy shared how blending personal authenticity with professional savvy creates genuine connections, far more valuable than superficial likes on social media. About MandyMandy started her career plunging into entrepreneurship launching an Advocacy and Consulting firm where she ran Marketing and sales for 3 successful years, growing the team to 25 people and crossing 1M in rev in the first yearShe later sold everything she owned and went out on her own traveling the world as a digital nomad – freelancing as a copywriter and a web developer. She developed and produced an online course that generated 7 figure returnsShe co-founded Digital Reach, a digital agency where she spent 8 years focused on sales and account management, before becoming CEO where she’s spent the last 3.5 years growing the agency 300% YOYShe’s a member of Pavilion and RevGenius, she’s also a Treasurer Board of Directors at the New Mexico Psychedelic Science SocietyFinding Your True Self in the WorkspaceMandy shares a piece of her life with us, a story that's as much about the tattoos on her skin as it is about the unseen marks her experiences have left. It's a peek into the life of someone who's part of the LGBTQIA+ community, a proud woman in a world that still wrestles with equality, and a professional who's dared to blur the lines between her personal and professional selves. Her story isn't just hers alone; it echoes the journeys of many who feel like they're juggling multiple identities, trying to find a spot where they fit in without having to compromise on who they truly are.She talks about starting with what's comfortable and pushing the boundaries from there. It's like dipping your toes into the ocean to gauge the temperature before plunging in. Mandy found that the more she shared, the more she discovered people who were like her or, at the very least, people who were open to embracing her totality without judgment. Her tale is a reminder that often, our fears of rejection are far greater than the reality of it.The pandemic, for all its chaos, played a surprising role in Mandy's life. It pushed the professional world into a more authentic space, where business suits met bedroom backgrounds in Zoom calls. For Mandy, it was a time when the digital nomad lifestyle she had always embraced suddenly became the norm. The shift wasn't just about work cultures becoming more accepting of remote work; it was about the world getting a glimpse into the personal lives of its workforce, making everyone a bit more human.Mandy's discussion about the intersecting circles of our personal and professional lives—how we must find that sweet spot where we can be true to ourselves while still rocking our roles at work—is insightful. She doesn't shy away from dressing up for an important client meeting, not as a betrayal to her identity, but as a nod to the professional context. It's about knowing when and how to showcase different facets of ourselves, a dance between being authentically us and professionally adaptable.Key takeaway: Embracing your full self at work is less about a grand revelation and more about small, confident steps towards being true to who you are. For marketers, this means understanding that your personal story and how you choose to share it can become your strength, allowing you to connect on a more genuine level with your audience, colleagues, and industry at large. It's about finding your voice in a way that resonates with both who you are and who you aspire to be professionally.Genuine Connections Over Likes on SocialMandy's got a point that'll make you rethink your whole LinkedIn strategy. It's easy to fall into the trap of thinking you need to blend in to get ahead. You know the feeling, scrolling through your feed and it's like everyone's marching to the beat of the same drum. But Mandy's here to tell us that's not where it's at. The real magic happens when you break from the pack and share what makes you, well, you. It's not about racking up likes or followers. It's about striking a chord with the people who get you.She's pretty clear on one thing: chasing popularity isn't the goal. Imagine reaching your career milestones, not because you played it safe, but

What’s up everyone, today we have the pleasure of sitting down with Dr. Julz James, Senior Marketing Ops Manager at 6sense and Adjunct Professor at St. Edwards University. Summary: Jul is a marketing ops leader and a martech Professor who's rewriting the rulebook on how to navigate the martech galaxy. She walks us through automation inception, like a dream within a dream, and how she’s leveraged an iPaaS tool to automate her automations. She also unravels intent data and how her team has moved beyond lead scoring to adopt account scoring. Sprinkle in her freelance learnings, and you've got a recipe for someone who's not just working in marketing ops but thriving, bringing fresh insights and strategies to the classroom. This episode is a nice reminder that with a bit of curiosity, a dash of adaptability, and a love for teaching, the galaxy of martech tools isn't just approachable—it's yours to automate.About JulzJulz got her start wearing multiple marketing hats including website management and SEO for variety of SMBs and later a big recruiting firm Julz then decided to go back to school to pursue a PhD at the University of South Wales, undertaking work-based doctoral research while working with an growing ecomm companyShe later worked as a Marketing Automation Manager at a few different tech companies including Mitel and a talent software startupJulz then decided to move from the UK to Austin Texas to take an Assistant Professor of Marketing gig at St. Edwards University and is currently still a Part-time Adjunct ProfessorShe also started freelancing in marketing operations and would later join Blue Prism as their srn Marketing Ops ManagerFinally she had a short stint at Adobe before settling in at 6sense where she’s currently leading Marketing OperationsA New Approach to Educating the Modern MarketerImagine walking into a marketing class and instead of cracking open a dusty textbook that smells like the '80s, you're handed a sandbox loaded with today's leading marketing software. This isn't a scene from a futuristic movie; it's what Julz is bringing to the table in her marketing courses. Gone are the days of learning marketing theories that feel like a DVD. Julz has swapped them for lessons on the tools that marketers actually use in their jobs today.Julz loves teaching not for the sake of it but for the lightbulb moments she sees in her students when they connect the dots between class material and their day jobs in marketing. She draws from her own reservoir of experiences, sharing how she navigates the marketing world with tools like Marketo and Salesforce, making her classes a treasure trove of real-life wisdom.Her approach is refreshingly practical. Remember learning about the four P's and Porter’s Five Forces? Julz believes those concepts are as relevant to today's marketing as a pager is to personal communication. Instead, she's all about diving into the digital tools that shape modern marketing strategies, shifting the focus from memorizing models to mastering martech.Creating course content is no walk in the park, especially when the galaxy of martech tools changes faster than you can hit refresh. But Julz is on top of it, crafting her materials from a blend of up-to-the-minute blogs, community discussions, and the latest ebooks. It’s about making sure her students aren't just keeping pace but are ahead of the curve, ready to apply what they've learned in real-time scenarios.Key takeaway: If you're in marketing and looking to make your mark, take a page out of Julz's playbook. Forget the dry theories that gather dust on a shelf. It's all about rolling up your sleeves and getting your hands dirty with the tech that's shaping our world right now. Being quick on your feet, always hungry to learn something new, and getting cozy with the latest martech? That's the secret sauce for not just making it but also having fun.Unlocking the Secrets of Martech Without Coding SkillsEver think you need to be a coding guru to rock at marketing tech? Julz has some news for you: that's not the case. Picture this: you're more like a tech-savvy wizard, weaving different digital tools together, making them do exactly what marketing needs them to do. And guess what? You don't need to write lines of code to pull it off.Julz puts it simply – her gig in marketing operations is kind of like being an IT whiz but all jazzed up for marketing. You get systems to play nice with each other, not by coding from scratch but by knowing just enough to make smart tweaks here and there. It's like knowing how to change a tire without being a mechanic. Sure, dipping your toes into HTML or JavaScript is helpful, especially when you need to adjust something small on a website or in an email. But the real game? It’s all about seeing the big picture, understanding how different platforms and tools fit into the marketing puzzle.Drawing from her own adventures, Julz shares how her journey through engineering and tinkering with gadgets wasn’t ab

What’s up everyone, today we have the pleasure of sitting down with Kevin Hu (Hoo), Co-founder and CEO at Metaplane. Summary: Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the power of inquisitive data analysis and a hypothesis-driven approach, emphasizing the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. Amid the rise of AI in martech, he champions marketing ops' role in safeguarding data quality, making clear that success hinges on our ability to manage data with precision, creativity, and proactive vigilance. About KevinKevin did his undergrad in Physics at MITHe later collaborated with his biologist sister, assisting in analyzing five years of fish behavior data. This experience inspired him to further his research and earn a master's degree in Data Visualization and Machine LearningHe also completed a PhD in Philosophy at MIT where he led research on automated data visualization and semantic type detection His research was published at several conferences like CHI (pronounced Kai) (human-computer interaction), SIGMOD (database) and KDD (data mining) and featured in the Economist, NYT and WiredIn 2019, Kevin teamed up with former Hubspot and Appcues engineers to launch Metaplane, initially set out to be a product focused on customer success, designed to analyze company data for churn preventionBut after going through Y Combinator, the company pivoted slightly to build data analytics-focused toolsToday Metaplane is a data observability platform powered by ML-based anomaly detection that helps teams prevent and detect data issues — before the CEO pings them about weird revenue numbers.How to Ask the Right Questions in Data AnalysisWhen Kevin shared the profound impact César Hidalgo, his mentor at MIT, had on his journey into the data world, it wasn't just about learning to analyze data; it was about asking the right questions. César put together one of our favorite TED talks ever – Why we should automate politicians with AI agents – this was back in 2018, long before ChatGPT was popular. Hidalgo, recognized not only for AI and ML applications but also developing innovative methods to visualize complex data and making it understandable to a broader audience, was the most important teacher in Kevin’s life. He helped Kevin understand that the bottleneck in data analysis wasn't necessarily a lack of coding skills but a gap in understanding what to ask of the data. This revelation came at a pivotal moment as Kevin navigated his path through grad school, influenced by his sister's work in animal behavior and his own struggles with coding tools like R and MATLAB.Under Hidalgo's guidance, Kevin was introduced to a broader perspective on data analysis. This wasn't just about running numbers through a program; it was about diffusing those numbers with context and meaning. Hidalgo's approach to mentorship, characterized by personalized attention and encouragement to delve into complex ideas, like those presented in Steven Pinker's "The Blank Slate," opened up a new world of inquiry for Kevin. It was a world where the questions one asked were as critical as the data one analyzed.This mentorship experience highlights the importance of curiosity and critical thinking in the field of data science. Kevin's reflection on his journey reveals a key insight: mastering coding languages is only one piece of the puzzle. The ability to question, to seek out the stories data tells, and to understand the broader implications of those stories is equally, if not more, important.Kevin's gratitude towards Hidalgo for his investment in students' growth serves as a reminder of the value of mentorship. It’s a testament to the idea that the best mentors don't just teach you how to execute tasks; they inspire you to see beyond the immediate horizon. They challenge you to think deeply about your work and its impact on the world.Key takeaway: For marketers delving into data-informed strategies, Kevin's story is a powerful reminder that beyond the technical skills, the ability to ask compelling, insightful questions of your data can dramatically amplify its value. Focus on nurturing a deep, inquisitive approach to understanding consumer behavior and market trends.Bridging Academic Rigor with Startup AgilityDuring his career in academia working alongside Olympian-caliber scientists and researchers, Kevin garnered insights that have since influenced his approach to running a startup. The parallels between academia and startups are striking, with both realms embodying a journey of perseverance and unpredictability. This analogy provides a foundational mindset for entrepreneurs who must navigate the uncertain waters of business development with re

What’s up everyone, today we have the pleasure of sitting down with Amrita Mathur, VP of Marketing at ClickUp.Summary: Building a brand from zero is all about diving deep into what makes your audience tick and tailoring your messages to hit just right. Amrita digs into this, stressing the gold in blending hard data with your gut in order to spot what truly connects. It’s not about the immediate wins; it’s hunting for those less obvious cues that hint you’re on to something. When it comes to team-building, she’s clear: bring on board folks who are curious, the ones who ask all of the questions and are unafraid of constructive criticism. For Amrita, the secret sauce to thriving in marketing, beyond all the strategy and insights, boils down to enjoying the ride and the people you’re with, transforming work from a mere grind to an adventure worth every second.About AmritaAmrita kicked off her career at a startup in Toronto that was later acquired by OpenText, there she wore many different marketing hats, and later progressed to Redknee as Product Marketing ManagerShe briefly shifted to customer success at Jonas Software, concentrating on customer growth and retention and later returned to product marketing at Toronto Region Board of TradeShe then became Director of Marketing at PriceMetrix/McKinsey, where she led marketing planning and team hiringShe also led Demand Marketing at Vision Critical where she focused on go-to-market strategies, demand generation, and martechAmrita then moved over to Top Hat as Vice President overseeing Demand Generation, Marketing Operations & GrowthShen then joined a startup called Konsus founded by two Norwegian entrepreneurs who secured seed funding from Sam Altman and the Slack Fund. There she led the rebrand of the company to Superside and built a team that helped the startup grow from 0 to $4M in year 1 and reach $60M by year 4Finally, Amrita has recently joined San Diego-based ClickUp, the popular productivity platform valued at over $4B, known best for their SuperBowl ad or their music albumThe Myth of the Ivory Tower in Tech LeadershipAmrita’s journey at ClickUp shatters the common myth of the ‘ivory tower’ often associated with leadership roles in substantial tech enterprises. Despite the company’s impressive valuation and extensive team, she emphasizes a hands-on approach that defies traditional expectations. At ClickUp, there’s no detachment between the upper management and the operational workforce; instead, the organization champions a flat hierarchy. This structure not only promotes visibility across all levels but also encourages direct involvement in operational tasks, regardless of one’s title.The ethos at ClickUp, as Amrita describes, mirrors what’s often referred to as the ‘Stripe model’—a reference to Stripe’s renowned flat organizational structure. This approach ensures that despite rapid growth, the company maintains an environment where every individual, from interns to VPs, is expected to dive deep into the minutiae of their work. It’s a testament to the belief that understanding and engaging with the details are paramount to effectiveness. ClickUp’s CEO reinforces this by advocating for a culture where being ‘in the details’ is not just encouraged but required.This philosophy stands in stark contrast to what Amrita experienced towards the end of her tenure at Superside, where she could afford to step back, confident in her team’s ability to manage without her direct oversight. At ClickUp, the scenario is vastly different. The expectation to remain operationally involved means leadership roles are as much about rolling up your sleeves and getting your hands dirty as they are about strategic oversight.The ClickUp model demonstrates a pivotal shift in how companies view leadership and organizational structure. It challenges the notion that senior positions are synonymous with distance from the day-to-day operations, highlighting the importance of a collaborative and transparent work environment. This approach not only ensures that leaders remain grounded and connected to their team’s work but also fosters a culture of accountability and shared responsibility.Key takeaway: At ClickUp, success is found not in the isolation of leadership roles but in their integration within the operational fabric of the company. This model serves as a compelling blueprint for marketers: to stay relevant and effective, immerse yourself in the granular aspects of your work, foster transparency, and maintain a willingness to engage across all levels of the organization.Choosing Between Testing and Informed Decision-MakingAmrita sheds light on a prevalent misconception in the marketing world: the notion that every decision should be subjected to testing. This idea, while rooted in the desire to make data-driven decisions, often becomes a stumbling block, delaying action and fostering indecision. With ClickUp’s significant web traffic and signup volumes, one might assume an endle

What’s up everyone, today we have the pleasure of sitting down with Mauro Figueiredo, a global Digital Transformation and MarTech leader (and Innovator). Summary: Mauro walked us through his blueprint for building multifaceted teams equipped with technical, emotional, and strategic competencies. We emphasized the significance of identifying martech talent through self-awareness and curiosity, and how these traits play a crucial role in navigating the integration of martech with analytics and AI. We also focused on leveraging AI in marketing and the dangerous messaging of Co-Pilot’s Superbowl ad. By fostering a culture of continuous learning and cross-functional collaboration, marketers can unlock new opportunities in AI and ensure their strategies align with business goals for impactful outcomes.About MauroMauro spent the first 6 years of his career focusing on CRM and marketing automation for various gambling and casino companies across the UK and MaltaHe worked as a Senior CRM Manager at Sony Computer Entertainment focused on growing PlayStation game launches including Uncharted 4, Playstation VR and several live eventsHe later had short advisory stints at a business aviation company and a booking marketplace startupHe then joined Europe’s largest gaming publisher – Gameforge as their Head of CRM where he led multichannel campaigns that spanned across 400M+ usersHe then made the mage move to JPMorgan Chase as Executive Director of CRM where he built the CRM department from the ground upMost recently he’s moved to APAC Vietnam to be Director of Martech and Center of Excellence at a regional financial institutionA Blueprint for Building Effective Martech TeamsWhen constructing a Martech team, the approach should be tailored, recognizing that the company's size and the team's maturity significantly influence the team's structure and dynamics. Mauro's method begins with a clear understanding of the project's scope, the technologies required to address the business challenge, and the delivery of tangible business value. Identifying the necessary hard skills is just the initial step; the blend of technological prowess and customer-centric focus forms the foundation of a capable team.Equally crucial to hard skills, however, is the team members' attitude and characteristics. Mauro emphasizes the importance of adaptability and resilience, qualities that enable team members to navigate through the inevitable changes in project scope, technology, and industry trends. The ability to shift modes from discovery to definition and then to implementation, all while remaining open to adjustments, is essential. This flexibility is not just about coping with changes but thriving amidst them, ensuring the team's effectiveness and the project's success.The journey from the inception of a Martech project to its completion involves various phases, each demanding a different mindset and set of capabilities. The selection of team members who possess a well-rounded skill set, blending technical knowledge with a customer and experience obsession, is vital. Moreover, prioritizing soft skills and personality traits such as resilience and adaptability ensures the team can withstand and adapt to unforeseen challenges.Key takeaway: Building a winning Martech team requires more than just technical expertise. Invest in cross-training within your Martech team to ensure every member can handle multiple aspects of projects. This not only enhances team flexibility but also prepares each marketer for future roles in an ever-changing landscape.Interview Tips for Identifying Future Martech StarsSpotting the next Martech superstar hinges not just on evaluating their resume but on assessing their emotional intelligence (EQ) and problem-solving capabilities. Mauro shares that beyond the standard assessment of a candidate's career achievements, he delves into how they've navigated specific situations, tasks, actions, and results, adhering to the STAR model. This method uncovers not just what the candidate has done but how they've approached challenges and contributed to their team's success.After vetting a candidate's professional skills and understanding their career trajectory, Mauro shifts the focus towards EQ. He employs a unique set of questions designed to reveal how candidates perceive themselves and how they believe others perceive them. Asking candidates to describe themselves in four words and then to reflect on how their friends might describe them serves a dual purpose. It not only provides insights into the candidate's self-awareness but also opens a window into their personality and motivations.This approach to interviewing goes beyond traditional methods, allowing leaders to gain a deeper understanding of a candidate's interpersonal skills and how they relate to others. Such questions can surprise candidates, prompting them to think more deeply about themselves and how they interact with the world around them. The disparity, or lack th

What’s up everyone, today we have the pleasure of sitting down with Abby Gailey, Director of Marketing Operations at Vibrent Health. Summary: Abby walks us through the complicated marketing ops world of B2B2C healthcare SaaS, emphasizing a move from sales-centric to engagement-focused martech. We dive into curiosity and continuous learning, using tools like webhooks to blend digital and physical marketing effectively. Quality assurance through negative checklists and professional growth through mentorship and communities are key themes for future proofing your martech career. Abby simplifies success in martech: blend innovation with teamwork, and balance your professional and personal life.About AbbyAbby started her career in arts administration in regional, non-profit theaters She moved over to academic conference production, where she later pivoted to a marketing and comms role and got her first taste of martechShe later worked as a Marketing Manager at Human Kinetics where she wore a variety of hatsShe moved over to Wolfram an enterprise tech company where she started as a product marketing analyst but later pivoted to marketing ops where she took ownership of Iterable and other martechToday she’s Director of Marketing Operations at Vibrent Health – the leading platform for precision medicine research – where she leads a team that works in email, SMS, push and direct mailNavigating Martech in a B2B2C SaaS ModelAbby sheds light on the unique challenges and opportunities of managing martech operations within a B2B2C business model, particularly in a sector as sensitive and regulated as healthcare research. At Vibrant Health, Abby's role straddles the line between serving business clients and engaging end users in medical studies. Her experience is notably distinct from the traditional B2B or B2C marketing roles, often dominated by discussions around lead generation, MQLs, and SQLs. Abby’s work involves partnering with prestigious institutions like the Dana Farber Cancer Institute and the National Institutes of Health, utilizing their platform to facilitate crucial medical research.The essence of her work emphasizes engagement and enablement over direct revenue generation, a departure from the revenue-centric focus seen in many marketing operations roles. This divergence stems from the regulatory landscape of healthcare, demanding precision and adherence to stringent guidelines in communications. Abby's toolkit is unique, relying less on mainstream martech solutions like Marketo or Salesforce, and more on specialized tools that cater to direct engagement through emails, SMS, and direct mail.Abby's perspective underscores a broader theme in martech: the necessity of tailoring marketing operations to the specific needs and regulations of the industry and business model. While mainstream conversations in martech often gravitate towards lead generation and sales enablement, Abby's experience highlights the importance of engagement and enablement in scenarios where direct revenue generation is not the primary focus.Key Takeaway: Abby's experience at Vibrant Health highlights the significance of customizing martech strategies to fit the unique requirements of a B2B2C business model in a regulated industry. The focus shifts from revenue generation to precise engagement and adherence to regulations, underscoring the need for specialized tools and approaches beyond the conventional sales-centric martech solutions.Driving Engagement in Highly Regulated IndustriesUnlike many marketers whose performance metrics revolve around revenue generation, Abby's focus is on engagement — a critical component in the context of medical research. This pivot away from revenue-centric metrics allows her team to concentrate on the effectiveness of communication strategies that encourage participation in health studies, which is paramount for the success of their projects.Her work involves navigating a complex landscape of HIPAA and governmental regulations, making her tasks not just about engagement, but also about compliance. Abby points out the similarities between challenges faced in healthcare marketing and those in other tightly regulated sectors like FinTech, highlighting the creative and nuanced approaches required to provide value within these constraints. Despite these challenges, Abby sees significant opportunities to impact user engagement and support the overarching goals of research and funding.Abby’s work underscores the importance of engagement in the success of healthcare research, where the actions of participants directly contribute to the progress and outcomes of studies. Her approach offers insights into the broader potential for marketing operations to support and enable core business functions beyond direct revenue generation, especially in sectors where regulatory compliance plays a significant role.Key takeaway: Marketers in regulated industries can leverage creative engagement strategies to drive participation

What’s up everyone, today we have the pleasure of sitting down with Stephen Stouffer, VP, Digital Transformation & Innovation at SaaScend.Summary: Stephen shares practical and innovative examples of combining AI tools with iPaaS tools to do things like parsing email auto-responses and subcontracting tech support questions from family members. He’s a fan of starting simple, gradually advancing to more complex solutions, all while maintaining a keen focus on ethical considerations and human interaction. We also cover growth potentials of having a stint in the agency world, is martech really for engineers and the benefits of thinking of emails like billboards on the highway. About StephenStephen started his career as a web developer before moving to a marketing analyst role where he got his first taste of marketing and sales alignment as well as marketing automationThis led him to a Marketing Automation Migration Manager role at Cheshire Impact where he managed over 25 platform migrations in less than a yearHe then worked in-house at a few software companies including iDonate, Thryv as well as FireMon – a security policy management platform where he served as Sr Manager of Marketing Operations and led all the magic behind each GTM programMost recently, Stephen’s returned to his agency roots as VP of Digital Transformation and Innovation at SaaScend – a 20-person revenue operations agencyAutomating Parental Tech Support with AIStephen's journey into automating tech support for his mom using AI showcases a blend of ingenuity and practicality. Faced with an array of tech-related questions from his mother, from resetting routers to converting recipes into different metric units, he sought a solution that could offer simple, direct answers without the clutter of search engine results. Recognizing the ease with which texting comes to his parents compared to navigating the internet, Stephen ingeniously integrated Twilio with GPT, leveraging Tray.io as the intermediary. This setup allows text messages to transform into queries for OpenAI's API, which then sends back clear, useful responses.The beauty of this system lies in its simplicity and effectiveness. By funneling questions through a familiar medium—text messaging—Stephen's mom can now access a wealth of information at her fingertips. Whether she's looking for new restaurant suggestions after moving to a new area or needs quick answers for her culinary adventures, the AI assistant provides concise, relevant information. This approach not only empowers his mother to find information independently but also maintains their daily communication, highlighting the importance of family connections amidst technological solutions.Key Takeaway: Stephen's inventive use of AI for handling his mother's tech support inquiries demonstrates the transformative potential of integrating simple technologies to solve everyday challenges. This strategy not only streamlines the process of obtaining information but also enriches the user's experience by delivering tailored answers through a preferred communication channel.Making Use of Email Auto-responses with ChatGPT and Tray.ioStephen's presentation at Dreamforce was a bold exploration of AI's potential in streamlining email management, a topic ripe with complexities and nuances. Opting for the risky path of live demos, he engaged his audience directly, inviting them to submit various types of emails into an open text field. Utilizing Tray.io as his iPaas tool of choice, these inputs were then processed through OpenAI's API to classify the emails and execute appropriate actions based on their nature—whether setting up follow-up tasks, unsubscribing contacts, or updating records in Salesforce and Pardot.This daring demonstration not only showcased the practical applications of AI in automating mundane tasks but also ignited discussions on data compliance and ethical considerations in AI usage. Stephen's session highlighted the efficiency and adaptability of AI in handling massive volumes of email responses, providing a glimpse into the future of digital communication management. The success of this live demo, buoyed by flawless internet connectivity, underscored the reliability and transformative power of AI in enhancing operational processes within the tech ecosystem.Stephen's process for integrating auto-responses from email clients into GPT is remarkably straightforward. By designating a reply-to address in your automation platform, all auto-responses are directed to a specific inbox. From there you create a forwarding rule for all incoming emails in that inbox to another address provided by Tray.io. This address acts as an endpoint, channeling the email content directly into the iPaas tool for processing. From there you can prompt ChatGPT by bringing in the payload of those individual emails.Despite the simplicity of this setup, Stephen cautions about the volume of data being handled, highlighting the importance of managing the

What’s up everyone, today we have the pleasure of sitting down with Jessenia Francisco, Director, Marketing Operations at Lucid. Summary: Jessenia shares her journey from nonprofit to tech, emphasizing adaptability and purpose. She tackles imposter syndrome by fostering an inclusive culture, explores the strategic use of tools like Lucidchart in her own day to day, and advocates for mindful martech selection, particularly the integration of AI, balancing innovation with practicality. Her work with Women in Revenue underscores the power of mentorship in empowering women in revenue roles, highlighting the importance of community and strategic thinking for professional and personal growth. About JesseniaJessenia started her career in Finance at Merril Lynch and Bank of AmericaShe pivoted to the non profit space joining the Association of Latino Professionals for America where she started to get in fundraising operationsShe was later recruited by the NewSchools Venture Fund and moved out to the Bay area to roll out Salesforce across the organizationShe then joined the Opportunity Fund as Development Operations Manager focused on improving the donor acquisition process and marketing automation implementationJessenia then made the mega move to Asana where she started in Sales Operations and later pivoted to Marketing Operations leading Martech Program and eventually becoming Head of Marketing AutomationToday she’s Director of Marketing Operations at Lucid Software, the creators of the popular flowchart and diagram tool; LucidchartShifting from Counting Coins to Making ChangeJessenia's career evolution from finance to the nonprofit sector was not just a job change; it was a pursuit of impact over income. She sought to make a tangible difference, moving away from the profit-focused dialogues of her finance days towards creating systemic change. This quest for purpose led her to the nonprofit world, where she found the work deeply rewarding.Reflecting on her journey, Jessenia realized she had been involved in operations long before it became a recognized field, combining her analytical skills with business operations even during her finance tenure. This foundation served her well in the nonprofit sector, allowing her to apply her skills to support community-driven initiatives. She was particularly moved by the stories of the communities she worked with, finding a profound connection to the people and the transformative changes her efforts contributed to.At NewSchools Venture Fund, Jessenia experienced the intersection of venture philanthropy and educational reform. This organization, pioneering in merging investment with educational innovation, aimed to disrupt traditional learning models. She was fascinated by project-based learning, as seen in a Napa school, where even kindergartners engaged in complex concepts like velocity and gravity. Such moments underscored the significant impact of strategic funding in education.The nonprofit sector also presented Jessenia with numerous growth opportunities, from implementing CRMs to leading marketing operations. These experiences built her expertise in sales and marketing operations, highlighting the sector's potential for rapid professional development. Jessenia appreciated the creative challenges and the "champagne taste on a beer budget" mentality, which taught her to maximize limited resources effectively.However, Jessenia also faced challenges, including under-resourcing in technology and potential career stagnation. The nonprofit world's inclination to deprioritize tech investments and the limitations in career growth posed significant hurdles. Additionally, leadership changes and political dynamics within organizations could disrupt projects and affect the effectiveness of operations work.Key Takeaway: Jessenia's narrative reveals the dual nature of nonprofit work: its capacity to fulfill a deep-seated need for purpose and impact, juxtaposed with the practical challenges of limited resources and career growth ceilings. Her journey highlights the importance of adaptability, creativity, and a steadfast focus on mission-driven work amidst these challenges.Career Leaps From Small Ponds to Big Tech OceansJessenia's career leap from niche nonprofits to tech giants like Asana and Lucid sheds light on the value and versatility of working in different organizational sizes. Initially joining Asana when it was a relatively small team of 350, she quickly dispelled the myth that smaller entities lack significance. Her experience at Asana, a company that grew from a "cult classic" to a major player, exemplifies the unique advantages of smaller companies, such as a close-knit work culture and rapid adaptability.Small companies, Jessenia notes, offer a level of intimacy and direct impact that larger organizations can struggle to match. From knowing a colleague's preference for Diet Coke to having the ability to influence business outcomes directly, these environments foster a sense

What’s up everyone, today we have the pleasure of sitting down with Josh Kim, Growth Marketing Lead at Notion. Summary: Josh elevated growth marketing from scattered tactics to a unified framework, emphasizing data-informed decisions, teamwork, and a cohesive vision. He detailed the significance of a marketer's adaptable role in a growth pod, the value of strategic martech use, and the power of experimentation in understanding user motivation. By highlighting the synergy between community, product innovation, and growth, alongside the importance of continuous learning through programs like Reforge, Josh provided a compact yet rich guide for marketers seeking sustainable growth.About JoshJosh started his career in strategic planning and analysis before moving to growth product managementHe was the second Growth PM hire at Inflection – an employment screening startup where he worked on their Conversion Optimization teamHe then moved over to Marketing Operations at Credit Karma and later became the first hire on their Growth and Engagement team where he owned implementation and testing focusing on MAUsJosh then spent 3 years at Spotify where he held different Growth Marketing roles owning different products, from Consumer to Creator and finally marketplace Most recently he’s moved over to Notion first focusing on Growth, lifecycle and product marketing and recently leading the Growth Marketing teamJosh also advises startups within the First Round Capital portfolio as an Expert in ResidenceHarnessing Growth Marketing Insights from Top Tech BrandsJosh shares invaluable lessons from his journey through renowned tech companies, spotlighting the essence of growth marketing and brand development. At the heart of his experience is a nuanced understanding of how to blend growth strategies with brand identity, creating a compelling narrative that resonates with users and drives business expansion.Starting at Credit Karma, Josh dove deep into the mechanics of marketing, where he honed his skills in crafting campaigns that not only speak to the product but do so with personality and flair. This foundational stage was crucial, laying the groundwork for his growth marketing philosophy: combining effective brand communication with a genuine connection to the audience.His tenure at Spotify offered a masterclass in synchronizing brand and growth efforts to fuel business scalability. Josh highlights the Spotify Wrapped campaign as a quintessential example of this harmony. This initiative wasn't just a branding triumph; it was a data-driven strategy that leveraged insights to engage both creators and consumers, showcasing the power of integrating brand narratives with growth objectives.At Notion, leading the growth marketing team, Josh finds himself among a cadre of exceptional talent, all united in their mission to make tool making ubiquitous. This role has underscored the importance of working on products that strike a chord with their users. Notion's success, according to Josh, lies in its ability to articulate a brand voice that appeals to a wide array of communities and individual users alike, demonstrating the profound impact of aligning product utility with user passion.Josh's reflections from his experiences at Credit Karma, Spotify, and Notion reveal a consistent theme: the significance of building a brand that not only stands out but also genuinely connects with its audience. This connection fosters an approachability and loyalty that transcends the traditional boundaries of product marketing, turning ordinary users into passionate advocates.Key Takeaway: Josh's experience underscores the critical role of brand marketing in growth. By weaving together insightful data, compelling narratives, and genuine consumer engagement, companies can cultivate a loyal user base and drive sustainable growth. This approach not only elevates the product but also cements the brand's place in the hearts and minds of its audience, proving that at the intersection of growth and brand, remarkable business success can be achieved.Evolution of Growth Marketing From Hacking to Holistic StrategyJosh reflects on the journey of growth marketing from its "growth hacking" days to its current multidisciplinary nature, offering a nuanced perspective on how the field has matured to become an integral part of strategic business development. His insights shed light on the transformation of growth tactics from quick fixes to foundational strategies rooted in data and collaborative team efforts.Growth hacking, once the buzzword of startup culture, aimed to shortcut success with clever tricks and shortcuts. Josh candidly shares his discomfort with the term now, emphasizing that true growth cannot be "hacked." Instead, it requires a solid foundation based on first principles and a deep understanding of data to drive sustainable progress. This shift signifies a move from seeking immediate gains to establishing strategies that ensure long-term success.At the

What’s up everyone, today we have the pleasure of sitting down with Debbie Mayen, Head of Marketing Operations at Logitech.Summary: Debbie went from dreaming of diplomacy to steering the global martech ship at Logitech and takes us through a masterclass in making well timed bets and the art of simplifying martech. Her marketing operations mantra includes clear processes, open lines of communication, and giving her team the reins to shine. She walks us through why she’s big on the whole marketing-meets-IT vibe, pushing for teamwork that taps into the best of both. And how her focus on celebrating wins and building an anti-fragile culture is key to withstanding chaos and uncertainty in a profession riddled with burnout. About DeborahDeborah got her start as an International Project Manager where she led big IT projects, and later pivoted to international MARCOM projects and bizdevThis led Deborah to a pivotal role as Marketing and comms manager at Encyclopaedia Britannica where she would spend 7 years managing marketing activities in Latin America and BrazilShe also spent 5 years as a Marketing Automation Project Leader at Molex – where she was focused on optimizing tech stack and lead generation processesToday, Deborah is Head of Global Marketing Operations at Logitech, where her team drives operational excellence for Logitech's B2B Marketing team focused on strategy and automation, segmentation and ABM Embracing Nonlinear Paths into MartechDebbie's foray into the world of martech is a tale of unexpected turns and adaptation. Growing up with a nomadic lifestyle due to her father's career in the oil industry, Debbie was exposed to diverse cultures and languages from an early age. This multicultural upbringing sparked an initial desire to pursue a career in international law or diplomacy. However, as she ventured through university, the reality of the constant movement and its impact on family life led her to reconsider her career trajectory.Opting for a more stable living situation, Debbie still yearned to maintain her connection to the international sphere. This longing eventually steered her toward the realm of international business, landing her a role at Encyclopedia Britannica, focusing on the Latin American market. It was here, amidst the challenge of managing a vast geographic area with a limited budget, that Debbie stumbled upon martech.In the early days of martech, with fewer than 200 vendors and most tools available only in English, resources were scarce. Yet, this did not deter Debbie. Leveraging tools like Silverpop, she ingeniously maximized her small budget to achieve significant impact across Latin America. This experience not only honed her skills but also ignited a passion for martech, drawn to its capacity for measurable results and efficient campaign management without the need for expanding her team.Debbie's entry into martech was born out of necessity but flourished into a deep-seated love for the field. Her journey reflects a seamless blend of her identity and her professional path, showcasing how embracing change and leveraging available resources can lead to unexpected and rewarding destinations.Key Takeaway: Debbie's transition from aspiring diplomat to martech enthusiast underscores the power of adaptability and the unexpected paths our careers can take. Her story is a testament to the impact of embracing one’s background and challenges as opportunities for growth and innovation in the ever-evolving martech landscape.Navigating the Dawn of MartechDebbie's entrance into the martech scene came at a time when the landscape was vastly different from today's sprawling ecosystem. Reflecting on Scott Brinker's landscape charts, she recalls a period of consolidation and the nascent stages of martech, drawing parallels to the current explosion of AI tools in the sector. For Debbie, the early days presented both challenges and opportunities. The relatively small number of tools available meant she could delve deeper into the resources at her disposal, turning limitations into advantages.This era of martech was marked by significant acquisitions, such as Silverpop's integration into IBM's portfolio and Pardot's acquisition by Salesforce, signifying the beginning of industry consolidation. For Debbie, being part of the martech field from its inception allowed her to develop a comprehensive understanding of marketing automation platforms, a knowledge that would set the foundation for her future expertise.Her early start in martech endowed her with the ability to navigate the ever-expanding landscape without getting overwhelmed by the plethora of choices available today. Debbie's journey underscores the importance of foundational knowledge and the advantage of focusing deeply on available tools before branching out. As the martech landscape continues to grow, her experience offers valuable lessons in staying grounded amidst the noise and the allure of new technologies.Key Takeaway: Debbie's early

What’s up everyone, today we have the pleasure of sitting down with Ezra Fishman, VP of Growth at Wistia. About EzraEzra started his career as an engineer developing devices to help treat diabetes and obesity at GI DynamicsHe later had a short stint as an Operations Manager at an investment firm that was dedicated to funding health tech startupsAfter completing his MBA, Ezra joined a video tech startup called Wistia as their Director of Marketing and after 4 years he transitioned to leading Business IntelligenceToday Ezra is VP of Growth at Wistia where he’s now spent over 12 years, seeing the company grow from a handful of customers to over 375,000 and becoming one of the top vPaaS tools on the planetSummary: Ezra is a strategic and technical visionary at Wistia. He combines an audience-first content strategy with a data-informed approach to drive sustainable growth. He emphasizes the importance of genuine relationships over transactions and advocates for leveraging data to inform decisions while valuing human intuition. His journey from initiating a central data warehouse to implementing tools like Census, Fivetran, and dbt showcases how a single source of truth can enhance operational efficiency. Ezra's experience, from fostering a data-informed culture to embracing a scrappy startup mentality with a focus on high-impact ideas and rigorous A/B testing, reflects a commitment to strategic evolution and the balance between data and creativity. His insights offer invaluable lessons on growing and engaging with audiences in meaningful ways, advocating for a blend of strategy, intuition, and data-informed decisions in marketing.From Wistia’s First Customer to Early Team MemberImagine this: Ezra, initially just a fan from the sidelines, watching Wistia, a fledgling startup by his buddies Chris Savage and Brendan Schwartz, trying to carve its niche in the world of video. This journey from an intrigued observer to Wistia's first customer, and eventually, a pivotal team member, is nothing short of a cinematic twist.Back in the day, while Ezra was navigating the complexities of medical devices, Chris and Brendan were brainstorming Wistia's next big thing. The plot thickens when Ezra, amidst casual banter in their Boston living room, pitches a game-changing idea sparked by his own professional hurdles. Picture this: medical procedures generating heaps of video data, with the only sharing option being the archaic method of mailing DVDs worldwide. Enter Ezra's lightbulb moment—why not transform Wistia into a haven for secure, efficient video collaboration?Fast forward to Wistia marking its foray into uncharted territories. This wasn't just about ditching DVDs for digital; it was about reimagining how professionals could leverage video for learning and collaboration.The narrative takes a delightful turn when, over a lunch filled with reminiscing and future-gazing, Chris and Brendan propose a novel idea to Ezra. With a shared laugh over their collective naiveté in marketing and business management, they decide to join forces. This was the moment of serendipity, the kind that you'd find in tales of old, where the hero embarks on an unforeseen quest.Wistia's storyline evolves with a bold strategic pivot, transitioning from a focus on internal video sharing to mastering the art of video marketing. This wasn't merely a shift in services; it was a leap towards redefining Wistia’s essence. The introduction of video embeds and performance tracking was akin to discovering a new continent in the realm of video marketing. This pivot was the catalyst for an explosive growth, attracting a myriad of users and establishing Wistia as a beacon in the marketing universe.Ezra's saga with Wistia illustrates a kaleidoscope of lessons: the beauty of perspective, the strength found in adaptability, and the magic of seizing hidden opportunities. It's a testament to how internal insights can dramatically alter a company's course, steering it towards realms of untapped potential and success.Key Takeaway: Ezra's journey with Wistia showcases the power of leveraging personal experiences to spot unique opportunities in the professional sphere. His story teaches us the importance of staying open to unexpected career paths and the transformative potential of internal insights. For any professional, Ezra's narrative is a reminder to embrace adaptability and look beyond conventional boundaries, because sometimes, the next big shift in your career or business strategy could emerge from your own unique challenges and observations.Ezra's Audience-First Philosophy Beyond Funnel VisionEzra's reflections on Wistia's early content strategy are a testament to the power of foresight and the courage to challenge the status quo. In an era dominated by the lead capture mantra, the idea of prioritizing audience engagement over immediate conversions was nothing short of revolutionary. Ezra's insights into this paradigm shift reveal not just a tactical change, but a

Summary: Justin is a polished voice of reason in martech. In our conversation, he focused on the practicality of AI, highlighting its capability to transform data into actionable insights, aiding in a deeper understanding of customer needs. We also covered the shift towards flexible, composable tech stacks and the importance of diverse skills alongside a few Sci-fi references. He also proposed a transparent, Shark Tank-style approach for selecting martech vendors, underscoring the need for effective evaluation methods. This episode offers practical guidance for marketers aiming to navigate the rise of gen AI in marketing.Balancing Opportunity and Skepticism With AI in Marketing Justin's insights highlight a critical juncture in marketing technology: the integration of AI, specifically GPT-4, into daily practices. He acknowledges the prevalent fear of missing out (FOMO) among marketers, emphasizing the importance of staying abreast with AI advancements. Justin points out the dual nature of this fear: the anxiety about falling behind and the apprehension towards the implications of AI in marketing. His perspective reflects a cautious yet necessary embrace of technology.Interestingly, Justin positions himself as a technologist with a skeptical eye, wary of jumping onto the latest trend without due diligence. This approach is particularly relevant in a field bombarded with yearly hype cycles. His focus on adding value rather than noise is commendable. By mapping out AI's potential use cases in marketing, Justin contributes to a more structured understanding of this technology. He shifts the conversation from mere adoption to thoughtful integration, ensuring AI's relevance and applicability to marketing operations.The idea of mapping AI's role in marketing is not just about adoption but about understanding where and how it fits into the broader marketing strategy. Justin's approach of breaking down and analyzing different aspects of AI in marketing is crucial for its effective utilization. His methodical and analytical approach towards AI adoption in marketing is a testament to the need for balance - recognizing the potential of new technology while maintaining a healthy skepticism.Key takeaway: Marketers should balance the excitement of AI's potential with a thoughtful, structured approach to its integration into marketing operations. Understanding and mapping AI's practical applications in marketing can turn the fear of missing out into an opportunity for innovation and strategic advancement.Transitioning Rule-Based to AI-Driven Marketing StrategiesJustin delves into the complexities of transitioning from traditional rule-based automation to AI-driven approaches like next best action and propensity modeling in marketing. This shift, he points out, is not just a technological upgrade but a fundamental change in how marketing campaigns are conceptualized and executed. His insights are particularly relevant for marketing teams accustomed to rule-based systems and now facing the challenge of integrating more sophisticated, AI-powered models.The promise of AI in marketing, especially in next best action scenarios, is substantial. Justin notes that while the concept has been a long-sought 'Holy Grail,' it's now becoming a practical reality. However, he cautions against being swept away by the technological possibilities without considering their practical implications. The key, according to Justin, is to subordinate the technology to what works effectively as a marketer, always keeping the customer context in focus.For B2C scenarios or low-value product-led growth motions, AI-driven recommendations can be incredibly effective. However, Justin points out the limitations in complex B2B contexts, such as selling high-value products or services. These scenarios involve decision committees, contracts, and multiple stakeholders, where a simple AI-generated email is unlikely to clinch a deal. He suggests a more nuanced application of AI, perhaps integrating insights from sales calls or digital body language to tailor communications more effectively.Regarding quality assurance in AI-driven marketing, Justin highlights the potential pitfalls. He shares an example of an AI-generated email that was impressively detailed yet glaringly inaccurate, underscoring the brand risk associated with unmoderated AI content. This example illustrates the current necessity for a human in the loop, balancing AI's efficiency with the nuanced understanding that only human oversight can provide.Key takeaway: Justin's perspective on integrating AI into marketing strategies emphasizes a thoughtful, customer-centric approach. The shift from rule-based to AI-driven models demands not only technological adoption but also a strategic reevaluation of marketing practices. The balance between leveraging AI's capabilities and maintaining human oversight is crucial to navigate this transition successfully, ensuring that marketing efforts remain effective a

What’s up everyone, today we have the pleasure of sitting down with Crissy Saunders, CEO and Co-Founder at CS2. Summary: Crissy takes us through the evolution from tactical management to strategic leadership, and the adaptation to changing marketing strategies. We discuss the significance of specialized platforms in marketing automation, the critical role of the sales funnel in revenue growth, the shift in email marketing towards 'inbox influence', and revitalizing outbound marketing strategies. This episode is a concise yet profound guide, offering actionable insights for martech professionals to navigate their careers and strategies effectively.About CrissyCrissy started her career at Marketo when the company was only 4 years old. She was quickly promoted to Marketing Ops manager where she led weekly training of internal users as well as lead management and technical execution for enterprise clientsShe then moved over to Jive Software as Global Marketing Operations Manager and later Agari as a Sr Demand Gen manager She co founded Walkzee, an app that connected sheltered dogs with dog lovers who needed a walking buddyShe also co-founded CS2 with her husband Charlie, a martech agency that powers efficient and predictable revenue which has grown to over 15 team members and has served some of the coolest brands including Gong, Sendoso, Coursera and SalesLoftShe also finds time to be a podcast co-host, a women in revenue co-founder, a partner at MKT1 and an advisor for Syncari and ChilipiperNavigating the Dual Dynamics of Marriage and Business in MartechCrissy's journey with her husband Charlie in the realm of marketing operations (martech ops) is a testament to how personal and professional relationships can synergize effectively. Their story began in a work environment, where they were assigned to different global roles. Crissy, based in Palo Alto, and Charlie, working from the EMEA office, quickly realized the need for a counterpart due to the time difference. This necessity sparked their collaboration.Their work dynamic evolved as they discovered not only their professional compatibility but also a personal connection. This dual relationship blossomed into marriage, and after a year of living apart, they decided to venture into consulting. The transition from employees to business owners was facilitated by their solid professional background and the initial success in acquiring clients. This success was a result of their extensive network and the burgeoning field of marketing and sales operations, which at the time, was not as recognized as it is today.Their business, initially named CSU Marketing, evolved to focus on revenue operations, reflecting their diverse expertise beyond just marketing ops. They attribute their successful business partnership to aligning on business goals, leveraging each other's strengths, and maintaining constant communication. Daily meetings help them stay connected and address priorities, a luxury not all business leaders share.However, blending personal and professional life has its challenges. Discussions about the business often spill into their personal time, but they view this as a constructive process. Differences in opinion are not seen as conflicts but as opportunities for 'storming' – a phase in the McKinsey framework – leading to innovative solutions. This approach underscores their ability to balance their roles as business partners and life partners.Key takeaway: Crissy and Charlie's experience highlights the importance of communication, alignment of goals, and leveraging individual strengths in a business partnership. Their journey from colleagues to spouses and business partners demonstrates that professional and personal relationships can coexist and thrive, provided there's a clear understanding of roles, constant communication, and a positive approach to resolving differences.Elevating from Tactical Manager to Strategic Leader in MartechCrissy sheds light on a crucial challenge in the martech sector: the transition from a tactical, technology-focused manager to a strategic, business-minded director. In her view, the key to success in operations roles lies in balancing tactical knowledge with evolving strategic approaches. Understanding the operational landscape and keeping abreast of technological possibilities are vital for leaders in this field.She emphasizes the importance of building a solid operational foundation rather than being mired in constant 'firefighting' mode. This foundation is crucial for moving beyond immediate tactical challenges and focusing on long-term strategic goals. Crissy advises against solely aiming for a position where one only manages people and devises strategies. A true leader in martech needs to grasp the practical aspects of the technology they oversee, even if not involved in the hands-on work.Her tips for professionals aspiring to advance include aligning with business goals and key metrics, particularly those of the revenue t

What’s up everyone, today we’re chatting with Josh Hill, a GTM operations and tech executive with more than 20 years of experience in B2B sales, marketing, and technology.Summary: Josh delved into how integrating sales experience into marketing strategies leads to more customer-centric approaches. He highlighted the importance of hands-on experience with martech tools, blending marketing creativity with technical know-how, and the significance of high-quality data for effective AI implementation in marketing. He shared his journey of juggling personal projects with professional growth, striking a chord on maintaining work-life balance in a high-octane career. This episode is a backstage pass for anyone in martech, offering practical insights and strategies to take center stage in this mad world of martech.About JoshJosh started his career in enterprise sales at The Economist before moving to a demand gen role where he wore many different hats including martech and database management He then had a few short stints at different software and cybersecurity companies touching everything from SEO, SEM, content, branding, email deliverability and data qualityHe was also a solopreneur and consulted with senior marketing and sales leaders at B2B SaaS companies Josh is best known for creating the marketingrockstarguides blog for 7 years, one of the top blogs supporting marketing technologists, before it’s acquisition by Etumos a marketing automation consultancyMost recently, Josh spent 7.5 years at RingCentral moving up to Associate VP of Martech where he built and led a globally distributed center of excellence to scale GTM and Martech architectureToday Josh serves as an Advisor at Openprise, a RevOps data automation platform for enterpriseLeveraging Sales Experience for Marketing SuccessJosh's career trajectory from sales to marketing is a story that demonstrates the value of cross-functional skills in today's business world. His time at The Economist, where he honed his skills in account renewal and new business acquisition, laid a solid foundation for his later transition to marketing. Josh highlights the importance of direct customer interactions and negotiation skills developed in sales, which provided him with a unique perspective and skill set. These skills proved to be invaluable as he moved into marketing, particularly in stakeholder management and vendor relations.In his sales role, Josh realized a disconnect between marketing materials and customer perceptions. This insight led him to rethink the approach to customer engagement, moving away from traditional sales pitches to a more content-focused marketing strategy. His success in sales, where he was one of the top representatives, stemmed from aligning customer needs with marketing messages, an approach he sought to scale in his marketing role.Josh's transition was not just a shift in job functions but a broader business transformation. He emphasized the importance of aligning sales and marketing, leveraging marketing automation tools, and understanding the nuances of demand generation. His hands-on experience with attribution reporting and CRM systems further enriched his marketing expertise. Josh's journey is a testament to the benefits of integrating technology and customer service experiences into marketing strategies.Key takeaway: Josh's transition from sales to marketing at The Economist underscores the value of integrating sales insights into marketing strategies. By utilizing his direct customer interactions and negotiation skills acquired in sales, he crafted marketing approaches that were more aligned with customer needs and expectations. This fusion of sales and marketing perspectives proved crucial in developing effective, customer-centric marketing strategies, demonstrating the importance of cross-functional skills in the martech industry.Building a Respected Martech Resource: Marketing Rockstar GuidesJosh's journey in the martech world is a remarkable story of how personal branding and content marketing can converge to create a powerful platform. His blog, Marketing Rockstar Guides, emerged as a response to the growing curiosity and challenges professionals faced in understanding and utilizing marketing technology tools effectively. Recognizing the gap in practical, hands-on knowledge, Josh leveraged his own experiences and insights to create a resource that would demystify complex martech concepts for a broader audience.Initially, Josh's venture into content creation was fueled by his innate ability to understand and implement emerging martech tools, a skill that many in the industry were struggling with. His hands-on approach to learning by doing became the cornerstone of his content strategy. He began addressing common workflow problems and providing solutions through his blog, quickly transforming it into an essential resource for martech professionals. This move not only established him as a thought leader but also laid the groundwork

What’s up everyone, today we have the honor of sitting down with a true martech Jedi Master: Paul Wilson, Founder and Chief Strategist at GTM Systems.Summary: Paul wielded his lightsaber of wisdom, skillfully navigating the nebula of modern marketing technology and the rise of generative AI. He shared insights on the strategic dance of early freelancing in martech during the dawn of marketing automation and how there are similar opportunities today with harnessing the Force of generative AI. We delved into marketing operations, where professionals are like astute navigators of starships, steering through the complex cosmos of data management and AI integration. Paul's approach emphasized the importance of emotional intelligence and human intuition in a digital marketing realm. This episode was a hyperdrive journey through the galaxy of martech, peering into the future and illuminating the path for marketers to balance the Force of technological advancement with the art of human creativity.About PaulPaul kicked off his career in software sales in cybersecurity and was later introduced to the intricate world of email and martech at an Ottawa-based startup that offered anti-spam and anti-virus email filtering softwareHe would also start his moonlighting freelance career, founding CRM Nerds where he would provide strategic leadership for martech implementations for a variety of brandsAfter a short stint at Bell as a PM for their CRM business solutions, Paul led martech and salestech at two startups, dna13 – an Ottawa-based brand reputation management tool and Klocwork – a Minneapolis-based developer productivity tool Paul also worked at two agencies, first at Shift CRM as a Salesforce Consultant in Ottawa and later at Perkuto as a Senior Solutions Architect in DenverHe then made the mega move to Marketo, first focusing on Partner Development and later as the Head of Martech and Innovation. After their acquisition by Adobe, Paul was one of the leads on the project to implement Marketo for all of Adobe’s B2B businessThe mega moves didn’t stop there though, Paul took on the role of Senior Director of Marketing Operations at Slack and was later promoted to VP after the Salesforce acquisitionFinally, after a short stint at OneTrust, Paul strapped on his jetpack and went out on his own to found GTM Systems, dedicated to preparing business to harness the power of gen AIFreelancing Early in Martech is a Strategic Choice for Career DevelopmentWe kicked off our discussion with Pau by asking him to take us back to his early days at CRM Nerds, where he undertook an independent consulting project with Chipworks, a small business in Kanata. Interestingly, this was Phil’s first tech job, marking a significant point in his career. Paul's work at Chipworks not only influenced Phil's interest in marketing operations but also raises an important question about the traditional career advice in martech. Typically, newcomers are advised to delay freelancing until they gain more experience and a larger network. However, Paul's experience suggests that for those with advanced skills and specialization, early freelancing could be a strategic advantage.During the nascent stages of martech, specifically around 2012-2013, Paul chose to freelance at a time when marketing technology was just beginning to take off. The industry was in dire need of experts who could navigate these new waters, and mature agencies were yet to build a team of experienced professionals. Paul's decision to freelance offered him a unique opportunity to work with diverse organizational structures and challenges, significantly enhancing his skill set and expertise.Paul's story serves as an example for those considering freelancing in the early stages of their career. The current state of martech and generative AI, according to him, mirrors the early 2010s. He observes a stagnation in marketing automation but anticipates a new wave of growth driven by generative technologies. As many professionals embrace independent consulting in 2023, Paul believes that their ability to adapt and apply their skills in this changing landscape will be crucial.Key takeaway: Early freelancing in martech, particularly for those with specialized skills, offers a strategic edge. It not only broadens experience but also hastens skill development. In the current martech landscape, similar to the early 2010s, adaptability is key. With generative technologies driving growth, professionals, especially independent consultants, must adapt and apply their skills to thrive in this evolving sector.Navigating Generative AI in the Martech LandscapePaul delves into the burgeoning realm of generative AI within martech, addressing the challenges and opportunities it presents for organizations. As an independent consultant, he shares valuable insights into integrating tools like ChatGPT and leveraging generative AI for enhancing marketing and sales strategies. This conversation is especially relevant cons

What’s up everyone, today we have the pleasure of sitting down with the acclaimed Britney Muller, Founder and Consultant at Data Sci 101 and former Senior SEO Scientist at Moz. Summary: Britney takes us on a wild ride through the intersection of marketing and AI, emphasizing the importance of adaptability, continuous learning, and ethical considerations. Britney's journey from SEO to AI illustrates the need for data literacy and strategic decision-making in marketing. She delves into the ethical nuances of AI, discussing the limitations of LLMs and the importance of transparency and responsible development. Highlighting the human element in AI, Britney advocates for balancing technological advancements with human creativity and intuition, and underscores the transformative potential of AI across various sectors. This episode is a compelling call to action for professionals to harmoniously blend technical expertise with ethical mindfulness in the rapidly evolving martech landscape.About BritneyBritney started her career when she moved to Breckenridge Colorado chasing fresh snow and snowboard hills. She connected with a local realtor who introduced her to SEO and after discovering search data, she never looked backShe spent 7 months preparing to rank her personal site for the term “Burton US Open” and ended up ranking ahead of Burton.com and received a call from their marketing team who invited her to dinner This spurred her to start her own agency which she ran for several successful years but after being on the cutting edge of SEO and doing the speaking circuit at conferences around the world, Britney started getting hungry for a new challenge: enter Machine LearningShe stumbled upon Harvard’s Data Science 109 course after searching Github repos and dived super deep into this new field She was eventually poached by Moz where she spent 4 years as Senior SEO Scientist where she re-wrote the Beginner's Guide to SEO amongst a bunch of other content and continued her SEO researchShe later joined Hugging Face, the fastest-growing Machine Learning community & open-source ML platformToday Britney has returned to her entrepreneurial roots as a Machine Learning & SEO consultant and the Founder of Data Sci 101 with the goal of making LLMs like ChatGPT as accessible as possibleEmbracing Machine Learning: A Journey from SEO to AIBritney's journey from SEO expertise to machine learning is a testament to the power of curiosity and continuous learning. Nearly a decade ago, while most in the martech field were focused solely on traditional methods, Britney's unique passion for learning and experimentation led her to explore machine learning. This shift was fueled by her desire for a new challenge, as she felt she had reached the zenith of her SEO experiments.The pivotal moment came when she took the Harvard CS 109 course on machine learning. This experience opened her eyes to the transformative potential of feeding data to models and letting them learn patterns independently. The tangible results and potential applications she witnessed were not just intellectually stimulating but also professionally inspiring. As machine learning evolved, so did Britney's skills. She recalls the early days of TensorFlow, where complex lines of code were required for basic functions, which have now been simplified drastically.Britney's approach to machine learning is unique. She enjoys taking existing models and reengineering them for different applications, a process she describes as akin to being a 'Frankenstein developer.' This creative tinkering led to practical applications and fun experiments, like her first MNIST model, which could recognize handwritten numbers with high accuracy. Her pride in this achievement underscores her deep connection to her work and the joy it brings her.Key takeaway: Britney's transition from SEO to machine learning highlights the importance of pursuing passions and continuous learning in professional development. Her success stems from her willingness to embrace new challenges and innovate by reapplying existing technologies in novel ways. This story is a reminder that staying curious and adaptable is crucial in the ever-progressing field of martech.Data Literacy: Bridging the Gap in MarketingBritney's endeavor with Data Sci 101 aligns perfectly with her goals of educating the martech community and fostering a well-informed approach to AI and ML. She emphasizes the importance of statistical knowledge in marketing, a skill often overlooked in traditional marketing education. Britney's passion for sharing knowledge is driven by her discovery of the significant gap in data literacy within the marketing industry. This gap, she believes, hinders marketers from making more strategic decisions and finding better insights.Her approach to education in this field is both innovative and practical. Britney focuses on creating content that is engaging and accessible, breaking down complex topics into understanda

What’s up folks. As we close in on episode 100 and the end of this season, one episode that’s been on the list for a while now is revealing how we do our AI images. Most of the comments we get on our social posts aren’t “wow amazing content, love the CDP topics, I learned so much about email deliverability…” It’s usually “that cover art is SO cool, what’s the prompt that you use, what tool are you using for these amazing images?”So without further ado, let’s go behind the curtain and walk you through the process that we use to repurpose our audio only podcasts into long form blog posts packed with eye popping AI images.Of note, this is a highly visual episode so check out the blog post here for all the images: https://humansofmartech.com/2023/11/21/98-revealing-the-secret-prompts-and-process-behind-our-ai-images/Here’s today’s main takeaway: Ditch your raw transcripts and transform your audio podcast into a visually engaging blog with unique AI-generated images. Ditch lame stock images and learn how to use Midjourney for standout visuals that elevate your content and captivate your audience. But a word to the wise: these AI tools are addictive. Use them at your own peril.Agenda for the episode:How to turn your audio-only podcast transcript into a long form blog post that you can then repurpose for social sharesHow to get started with Midjourney, setting up your Discord server and adding key bots. Picking a consistent styleBring your blog post social shares to life with eye-popping images and make your podcast stand out with a unique cover art that matches your featured guestsHow to turn your audio-only podcast transcript into a long form blog postJT: Alright so Phil, we’ve been using Otter.ai to transcribe every episode after you’ve edited them. What’s the first step to converting that long not so great raw transcript into the polished blog posts we have on the site today?PG: Yeah so step number 1 involves our trusty friend ChatGPT. Here’s the prompt I start with:I’ll provide podcast transcripts with [guest name], and I want you to convert each Q&A into a blog passage. Third-person only. No fluff or weird words. Remove 'ums' and 'likes.' Each passage gets an H2 title and ends with a key takeaway. Ready for the first question and answer?So I go through our transcript, I copy paste the question we asked and I copy paste the answer from our guest. Here’s an example from our episode with Scott Brinker.Naturally, the output isn’t always perfect. You’re asking ChatGPT to turn your raw transcript filled with ‘ummms’ and ‘likes’ and probably has several mistranscribed words. So it’s always worth going through it and looking for issues. JT: Yeah that’s a super cool use case for ChatGPT, the output is usually pretty solid and it doesn’t always have that generic GPT signature or style to it because it starts with something vs just asking it to generate something from scratch. So do you move to generating images for each section now?PG: Not yet haha. I actually use ChatGPT to help me write a summary of the episode and suggest variations of titles as well. I start with getting a list of all the takeaways from each section and paste them all into Chat GPT and ask it to come up with a summary based on those takeaways.JT: Very cool… okay now are we ready to move on to Midjourney haha?Getting Started in MidjourneyFirst step here is creating a Discord account if you don’t have one already. Then you’ll want to create your own server so you can generate images in your own private channels. Then you join the Midjourney Beta on their site, that’ll get you invited to the Midjourney Discord server. You can check out the #getting-started channel in there to get some startup instructions. You can start seeing what others are building in any of the #newbie channels. But I prefer building in private so you can hit the ‘Show Member List’, click on the Midjourney bot and then add it to the server you just created. JT: So it’s free up to certain point right?PG: Actually since the Pope Francis in a puffer jacket earlier this year blew up their servers and they now require paid plans for all subscribers.Well worth the $10 to start playing around though. You just need to hit the /subscribe command in Discord and you’ll get a link to sign up. JT: One thing I find fascinating playing with DALL-E myself is that a lot of your illustrations and images have a crazy likeness to our guests. Are you gonna share the secret sauce behind that?PG: Yeah this is a bit of trial and error and I can drop some screenshots in the blog post version of this episode but it all starts with another Discord bot. It’s called Picsi.AI by InsightFaceSwap Bot.It’s a highly realistic portrait creation tool that you can use for free with their Discord invitation, or head over to Patreon to subscribe and access more features and higher usage limits.The creators are InsightFace.ai, an open source Python library that offers 2D and 3D face analysis. It efficiently brings

Summary: We explored the dynamic intersection of StratOps and marketing operations, emphasizing the fusion of traditional marketing foundations with evolving tech trends for effective strategy formulation. Darrell emphasizes balancing technical skills with strategic acumen for career progression in marketing, and the need for diverse career paths beyond managerial roles. We also touched upon the transformative impact of no-code tools and the ever-changing martech landscape, highlighting the importance of a product management approach in martech stack management and the value of experienced professionals in tackling technical debt. We finish with insights on effective knowledge management, internal communication strategies, and the need for harmonizing front-end and back-end functions in martech operations to align with overarching company goals.What’s up everyone, today we have the pleasure of sitting down with Darrell Alfonso, Director of Marketing Strategy and Operations at Indeed.com. About DarrellDarrell began his career at Trumpia wearing multiple hats and later joined Leaf Group to lead a team focused on demand generation and marketing automationHe then took on the role of Director of Global Marketing at Hitwise, a data enrichment startup and later served as Director of Communications at the American Marketing Association, focusing on educational contentHe then ventured into the enterprise world into the esteemed role of Global Marketing Operations Lead at Amazon Web Services, the widely adopted cloud data platformDarrell’s also a Course Instructor at MarTech Alliance for a brand new 8 week course on all things Marketing OperationsHe’s the author of the Martech Handbook, covering effective use and scaling of martech with case studies and expert insightsAnd most recently he’s moved over to Indeed.com as their Director of Marketing Strategy and OperationsDarrell, thanks so much for your time today. I feel like this is a long time in the making, we probably should’ve had you on years ago, truly appreciate all the love you’ve given us.Reinventing Marketing Operations with Strategic PlanningDarrell was a keynote speaker at MOps-Apalooza a few months ago and walked the audience through his refreshed pillars of MOPs success. He dived into the transformative approach he has developed for marketing operations, focusing on strategic operations (StratOps). This concept represents a significant shift from the traditional technology-centric model to a more holistic, strategy-focused framework. Darrell's initiative, developed in collaboration with industry leaders like Mike Rizzo, aims to realign marketing operations with broader business objectives.Historically, marketing operations has been synonymous with budget planning and organizational design. However, in recent years, the focus has expanded to include technology management. Darrell emphasizes that these behind the scenes components, though seemingly abstract, play a crucial role in a marketing team's functionality. The new framework he proposes integrates traditional aspects of marketing operations with the evolving demands of martech, signaling a union of past practices and current trends.Darrell’s new pillars of MOPs success:Technology management (platform ops, engineering)StratOps (budget, planning)Enablement and PMO (PM, process design, adoption)BI + Insights (reporting, analytics)Darrell's personal involvement in the development and oversight of StratOps within his team highlights the practical application of these concepts. The transition to strat ops involves answering complex questions that impact a marketing team's operations, such as deciding between centralized or decentralized structures, optimizing the use of technology stacks, and involving legal teams in campaign management. These critical questions, previously scattered across various departments, are now being centralized under the strat ops function, demanding a more cohesive and strategic approach.Key takeaway: Emphasizing StratOps within marketing operations leads to a more cohesive and comprehensive strategy. This approach effectively combines traditional marketing foundations, such as budgeting and planning, with the continuously evolving trends in technology. By integrating these elements, marketing teams can craft strategies that are both grounded in proven methods and agile enough to adapt to new tech advancements. This balance ensures that marketing initiatives are not only technologically advanced but also strategically sound, maximizing the impact and efficiency of marketing efforts in a dynamic business environment.Balancing Technical Skills and Strategy in Marketing OpsDarrell shares his insights on the balance between platform knowledge and strategic skills. This topic is particularly relevant in the martech field, where professionals often grapple with the decision of prioritizing technical skills or broader strategic understanding. Darrell's perspective, shaped by his experi

Summary: Sara offers practical advice for martech pros: emphasizing data literacy for informed marketing decisions, advocating simple attribution models in B2B contexts, and highlighting the balanced integration of engineering expertise in martech strategies. She underscores the significance of AI in automating tasks while stressing the importance of human-centric skills like communication in an AI-enhanced marketing world.What’s up everyone, on today’s celebratory 100th episode of the podcast, we’re incredibly pumped to chat with the legendary Sara McNamara, Senior Manager, Marketing Operations at Salesforce.About SaraSara got her start at Cloud on Tap as a Salesforce Pardot Marketing Automation Consultant where she completed 30+ Pardot implementations in under 2 yearsShe took her Ops talents to Cheshire Impact, a Select Pardot and Salesforce Partner before moving to an in-house Automation Manager role administrating 3 instances of PardotHer journey led her to a pivotal role at Cloudera, an open-source data platform for enterprise where she was quickly promoted to Senior Marketing Operations Manager after leading 2 enterprise MAP migrations in 6 monthsShe’s advised marketing leaders at companies like Google and PayPal on how to find and attract the best MOPs talentShe’s also a Member of 3 key communities; RevGenius, Women in Revenue and PavilionShe holds over 30+ licenses and certifications across popular martech and her work has been recognized by Pardot, Salesforce, Drift, and othersWhen Cloudera was on the exit ramp, Sara made a mega-move to Slack. As Senior Manager of Marketing Transformation & Innovation, she had a big job shaping things up at a massive scale But after a year of making waves, Salesforce swept in and bought Slack. That meant Sara's SFDC/Pardot hot takes and spicy industry insights came to an end But let's be clear: Sara's brilliance hasn't dimmed one bit. If you're navigating the murky waters of MOPs or crafting your own career path, she's your north star. She's not just a source of marketing knowledge—she's arguably the finest guidepost out there for career insightsSara thanks so much for making our 100th episode extra special and taking the time to chat with us 🙏🙏🙏The Importance of Acquiring Practical Data Skills for MarketersData literacy is essential for modern marketing. Sara discusses how marketers can improve these skills and foster a data-informed culture. She emphasized the importance of understanding data beyond the hype of AI, suggesting that while AI may eventually play a significant role in analytics, marketers must first clearly define their objectives and strategies.Sara's perspective is that marketing should be run like a business, with a focus on practical data skills tailored to the specific tools and needs of the business. She advises against getting bogged down in learning specific languages or tools unless they are directly relevant to one’s business environment. For example, learning Tableau is beneficial, but only if it aligns with the tools used in one's specific business context.The key, according to Sara, is for marketers to be sufficiently skilled in data to not rely entirely on analytics teams for basic questions like campaign effectiveness or budget allocations. This approach doesn't mean replacing data scientists but rather complementing their work by being able to independently handle high-level data interpretations. This self-sufficiency in data handling can significantly streamline processes and reduce dependency on centralized analytics teams.Sara also touched on the ability to scrutinize and trust the outputs of AI-driven analytics. In an era where AI is increasingly creating dashboards and reports, the ability to critically assess these outputs is crucial. Marketers need to develop the skill to not just accept these data presentations at face value but to evaluate their accuracy and relevance.Key takeaway: For marketers in the martech era, developing data literacy is less about mastering specific tools and more about understanding and applying data in the context of their specific business environment. This involves a balance of acquiring practical data skills, fostering a data-informed culture within teams, and being critical of AI-generated analytics to ensure accuracy and relevance.Why Attribution Should be Used as a Directional GuideMarketing attribution, particularly in the context of B2B enterprises, presents a unique set of challenges. Sara, drawing from her experience in enterprise-level marketing and consulting for smaller teams, shared her insights on this topic. She believes that attribution should be seen as directional rather than a definitive science. Despite the allure of discovering a 'golden path' to customer conversion, Sara's experience reveals that such a path is elusive.In her journey, she observed teams of data scientists dedicating substantial resources to unravel the mysteries of the perfect marketing attribution model.

What’s up folks, if you follow the show you know that we wrap up each conversation by delving into how our guests manage to juggle their personal and professional lives while maintaining their well-being and career success. Our most popular episode continues to be our compilation of insights on this very topic. Due to its popularity, we've decided to revisit this format and bring you a fresh perspective with new voices and reflections. I’ve categorized all 23 of our guests’ answers into 7 categories:Passion and meaningful workValues and prioritiesPhysical health and routinesCuriosity and learningAppreciating what we have nowGiving backRelationshipsMain takeaway: Balance is a continuous journey rather than a final destination, involving passion alignment, personal recharging, and appreciation of life's path, including those who accompany us along the way. And never underestimate the power of a well-timed 'no' to maintain balance and propel your journey forward.Igniting Passion and Finding Meaningful WorkLet’s start with the internal flame that motivates all else. 3 of our guests emphasized passion and finding meaningful work as the key to happiness and success.Harnessing Passion for Professional and Personal FulfillmentLucie De Antoni, Head of Marketing at Garantmehttps://humansofmartech.com/2023/09/26/90-lucie-de-antoni-startup-alchemy-attribution/ The key to a fulfilling life, Lucie posits, is to weave one's passions into the fabric of their daily lives, both in personal and professional realms. While the notion might echo familiar sentiments, for her, it serves as the engine of daily motivation. This approach isn't about blindly following joy; it involves critical reflection and the transformation of lackluster experiences into positive ones.Lucie treats her engagement with AI not just as a job but as an integral part of her life's canvas, indicating a seamless integration of work with personal interests. This blend is increasingly rare in a world that often dichotomizes professional and personal life. Her strategy includes a pragmatic approach to time management, a learned skill that she has honed over her career. Lucie now exercises discernment in her work, asking whether late hours are truly necessary or if they encroach upon her personal time.Her journey towards finding balance has been iterative, a process marked by growth and the ability to prioritize more effectively than she could just months before. Lucie attributes part of this evolution to the people she surrounds herself with, suggesting that a supportive network can significantly influence one's ability to maintain equilibrium.Building a career that resonates with one's values is not without its challenges. Lucie acknowledges that recognizing one's strengths and facing obstacles head-on is essential, yet she also stresses the importance of choice. It's about alignment—ensuring that professional actions and personal values are in concert.Key Takeaway: True happiness emerges from the intersection of passion, self-reflection, and the prudent management of one's time and choices. Lucie’s experience underlines the importance of integrating personal passions with professional endeavors, the power of a supportive network, and the continuous journey towards balancing various aspects of life. In essence, fulfillment is about doing what you love, prioritizing what matters, and sometimes, having the wisdom to say no.Embracing the Momentum of Passionate WorkMichael Katz, CEO and co-founder at mParticlehttps://humansofmartech.com/2023/09/05/87-michael-katz-the-evolution-of-packaged-cdps/ At the heart of a fulfilling life, according to MK, is the enjoyment of one's endeavors. He prioritizes his roles not by societal standards, but by personal significance, with fatherhood at the pinnacle. His career, while varied and demanding, trails behind his family in his list of priorities. This clear hierarchy is the cornerstone of his contentment, allowing him to approach his other roles with a grounded perspective.MK's experience has taught him that the objective isn't merely to become adept at riding the rollercoaster of entrepreneurship but to reach a state where the highs and lows no longer dictate his emotional landscape. The concept of equanimity emerges as a desired state—one where external circumstances lose their grip on one’s inner peace. This is not an attitude of disengagement, but rather a refined approach to emotional investment in the business world.His philosophy is crystallized in a dinner conversation with a friend, echoing Lupe Fiasco's words. The common adage of pursuing happiness is, in his view, a misguided one. Instead, MK posits that the pursuit itself ought to be happiness. Finding joy, meaning, and growth in one's work is the real measure of whether one is on the right path. It's a subtle but profound shift from happiness as a goal to happiness as the journey.MK gauges his alignment with his work through his emotions—the excitement of start

In October, Google announced new guidelines that went unheard by many email marketers. They released a blog post as well. Yahoo also followed suit. There’s a lot of misguided commentary about the specifics of it, so today we’re going to break down some of the most important changes taking effect and why you should care. Main Takeaway: Google and Yahoo's recent guidelines largely reaffirm established best practices in email marketing. However, a key new detail is the public disclosure of a 0.3% spam complaint rate threshold. While exceeding this rate in a single instance won't immediately land you in the spam folder or get you blocked, it's a clear signal of stricter enforcement ahead. Maintaining a consistently low complaint rate is crucial, as repeatedly crossing the 0.3% mark will now lead to more severe consequences than before. NOTE: This episode is based on my personal knowledge, recent research as well as chatting with top 1% experts. However, I’m not a lawyer and nothing here should be construed as legal advice.New Email Sender GuidelinesAs of Feb 2024: Failing to follow these new guidelines will potentially result in Gmail limiting sending rates, blocking messages, or marking messages as spam. They haven’t made it clear what result is applied to what guidelines. Lots of folks are claiming that any of these will lead to you being blocked by Google, forever. While that’s possible, it’s not likely.Another misconception I’ve seen from plenty of folks is that this only applies to BULK senders, people with 5k daily email traffic. This is false. While Google wrote a spectacularly unclear and poorly structured document, it is pretty clear that most of the guidelines apply to ALL SENDERS. So if you misread and told yourself this isn’t a big deal because you don’t send 5k emails to Google users per day, you’re in for a world of pain.Here’s the TL;DR on the guidelines, they are essentially the same 6 for all senders and bulk senders, except bulk senders have a few extras.All senders Set up SPF and DKIM authSet up forward and reverse DNS recordsKeep spam rates below 0.3%Follow RFC 5322 for formatDon’t use a from @gmail.com account in your ESPAdd ARC headers, List-id: headerBulk senders (5k or more emails per day)Set up SPF and DKIM authSet up forward and reverse DNS recordsKeep spam rates below 0.3%Follow RFC 5322 for formatDon’t use a from @gmail.com account in your ESPAdd ARC headers, List-id: headerSet up DMARCSupport one-click unsubscribe, and include unsubscribe linksWe’d need a whole series to cover all of these so we won’t go into each. You probably should’ve already been following the majority of these in the first place. We had a decent episode that covered authentication, SPF, DKIM and DMARC. RFC standards, ARC headers and one click unsub is generally adopted by most legit ESPs.I want to focus on 2 key changes that might be misconstrued or require a bit more digging and explanation:Spam rates in PMT below 0.3%Don’t impersonate gmail from headersKeep spam rates reported in Postmaster Tools below 0.3%The biggest one and the one that’s most talked about is the 0.3% spam report threshold. Most senders don’t need to worry about this. If you have been following best practices for email like expressed opt-in consent and making it easy for people to unsubscribe, you don’t have major spam complaints. But not everyone falls in this bucket, and even if you do, you might not get off that easy going forward. This is especially freaking out people that do bulk outbound/cold marketing using email. If you’re not already set up using Google Postmaster to monitor your domain and IP reputation and related metrics, do it now. This has actually been a common unwritten rule by mailbox providers (MBP) in the past, anything above 0.3% would potentially cause reputation issues. MBP also do plenty of sneaky things like counting the number of inactive accounts that got your email so you can’t dilute the ratio of complaints you get. I think the change here is that it will be more severe now that the threshold is public. What’s spam rates exactly?There’s actually some misalignment from experts when it comes to the true definition of this metric. Based on this Google Postmaster FAQ, the spam rate isSpam rate = number of spam complaints from Google users / number of active Google user recipient accounts that landed outside of spam/junk.It makes sense that it's only for active accounts and for emails that landed outside junk because emails in junk can’t be marked as spam again. So if a substantial number of your emails start actually landing in spam, you could see a low spam rate, even though that wouldn’t be positive. What does this mean in terms of volume sent to Google accounts?Let’s break down the impact of 0.3% further:If you send 10,000 emails in 1 day, you need less than 30 spam complaintsIf you send 5,000 emails in 1 day, you need less than 15 spam complaintsIf you send 1,000 emails in 1 day, you need less than 3 spam compla

What’s up folks, today we’re joined by Lauren Aquilino, Founder & Principal Consultant @ EMMIE Collective.Summary: The essence of Lauren’s message transcends the specifics of MOPs; it's about the symbiosis between finding work that resonates on a personal level and the professional ecosystem that supports it. This is where fulfillment is found, and where problems are not just tasks but puzzles that invigorate the marketer. Her advice was not mere commentary but a call to action for marketing professionals to document their victories, engage with communities, and redefine the value of mops within their organizations, ensuring that the role is not just sustained but celebrated for its strategic importance.About LaurenLauren started her career as a Campaign Manager at Hyland, an enterprise content service provider where she spent 5 and a half years working her way up to Marketing Analyst and later Team Lead of the Demand ProgramsShe later took on the role of Marketing Automation Operations Manager at GE where she owned Marketo and set the global marketing automation strategy across other martech tools as wellIn 2017, Lauren left the in-house world and joined the dark side of agency at Revenue Pulse as a Principal Consultant. There she would become a 2x Marketo Champion and Certified Expert as well as a Salesforce Certified AdminAfter taking a career break as a Covid-era homeschool teacher and wrangler of a fearless toddler and attempting to open a coffee shop in a dilapidated 1840s church, Lauren became a yolopreneurAugust 1st 2022. She joined forces with the acclaimed Sydney Mulligan to launch EMMIE CollectiveEMMIE is a for-hire network of marketing Ops and Sales Ops freelancers with big tech energyShe’s also the cohost of Pretty Funny Business, Lauren’s nonsensical playground brand for the hell of it, a hilarious new podcast with the top marketing and MOPs prosThe Accidental Genesis of EMMIE CollectiveWhen Lauren delved into the creation story of EMMIE Collective, she shared a narrative that many entrepreneurs can resonate with—success often sprouts from the seeds of adversity. Lauren’s journey began not with a deliberate intention to start a martech freelancer network but as a response to the upheaval of COVID-19. The decision to step back from her role at Revenue Pulse was pivotal. Faced with the complexities of juggling work and a young family under the constraints of a pandemic, Lauren sought to keep everyone on one schedule. This pursuit of work-life balance inadvertently set the stage for EMMIE Collective’s inception.The ambition to purchase a church, a dream stemming from Lauren's passion for creating a communal third space, ironically nudged her back to work. Subcontracting for a friend in unfamiliar territory with Pardot became a catalyst for growth. Lauren’s adaptability and openness to learn were instrumental, emphasizing that it’s not the tools that define success, but the fit for the business and the individual’s capability to harness them effectively. What started as a solo venture quickly evolved, and Lauren found herself at the helm of a growing consultancy.Lauren’s story highlighted the organic nature of EMMIE Collective's expansion—how one client led to another, and how one consultant brought in another, embodying the adage of building the airplane while flying it. The addition of Sydney to the team was serendipitous, aligning perfectly with the needs of the collective. Her reputation and skills added significant value, illustrating the strength of forming strategic alliances based on mutual respect and opportunity.Key Takeaway: EMMIE Collective stands as a testament to the unexpected paths that lead to entrepreneurial success. It serves as a sanctuary for those who’ve grown weary of the corporate grind, offering a collaborative network that thrives on flexibility, respect, and mutual growth. Lauren’s experience is a reminder that sometimes, the best outcomes arise from the most challenging situations, and that embracing change can pave the way for unforeseen opportunities.The Multifaceted Benefits of Side Hustles in MarketingWhen Lauren was asked about the impact of side hustles on her career, she offered an insightful perspective that extends beyond the conventional wisdom. She champions the idea of side hustles not merely as additional streams of income but as avenues for personal fulfillment and professional development. Lauren's stance is that side hustles should be passion-driven endeavors, aligning with one's interests, such as yoga in her example, to ensure they serve as a complement rather than a detractor from one's quality of life.Lauren’s experience underlines the necessity for marketers to cultivate interests outside their core job, especially when their work is highly technical and the threat of feeling replaceable looms. In her view, this sense of replaceability is exacerbated when one's day job lacks a deeper sense of purpose or is entrenched in a profit-driven environme

What’s up everyone, today we’re joined by Natalie Miles, Head of Marketing Technology at Chime.Summary: Don't underestimate the role of generalists in martech; they're your go-to for system-level thinking and breaking down data silos. Building vs buying your tech stack? It's not black and white; successful setups usually mix both, and including engineers in the decision process is non-negotiable. Considering a CDP? Opt for a composable one to get quick value and robust data management. And if you're venturing into personalization, it's your team's culture and process that'll make or break it, not just the tools. Tune into this episode for straight-up, actionable insights that cut through the noise in the martech world.About NatalieNatalie started her career as a Financial Counselor at the Consumer Credit Counseling Services of San Francisco She then took on the role of Quality Assurance Specialist at Lending Club, a fintech marketplace bank where she was eventually promoted to Operations AnalystNatalie then moved over to Credit Karma, best known for pioneering free credit scores where she started as a Marketing Operations Analyst and was later promoted to Marketing Operations ManagerAnd for the last 3 years, she’s been Head of Marketing Technology at Chime, a fintech company that offers no-fee savings accounts, where she’s built and managed a holistic Martech stack supporting all channels and functions within the Marketing orgThe Intersection of Financial Empathy and Marketing OperationsWhen asked about her transition from financial counseling to marketing operations, particularly within FinTech, Natalie illuminates how her upbringing and career have been tightly woven with mission-driven personal finance companies. Shaped by her experiences in a working-class household and graduating amid a historic economic crisis, Natalie's focus has been on transforming legacy institutions that often operate on zero-sum models—those that profit when the customer suffers. Her goal? To align business value directly with user value. Natalie also emphasizes the importance of having a generalist background when working in marketing technology. She points out that her diverse experiences, including her time as a financial counselor, have enriched her understanding of system-level thinking—a key asset for any marketing technologist. It wasn't just about marketing; it was about leveraging technology to make different teams more efficient, whether they were marketing or support teams.In her journey through the marketing landscape, Natalie discusses the evolution from specializing in lifecycle marketing to adopting a more generalist approach once again. She believes that understanding the pain points in one marketing channel provides insights that are transferable across other channels. This is vital because while each channel has its own nuances, they also share common threads that are integral to driving growth or achieving specific business outcomes. Natalie underscores the concept of the "T-shaped marketer," a term often used in marketing discussions to describe professionals who start by specializing in a specific channel but gradually broaden their scope. This broad understanding is crucial in the realm of marketing technology, where preventing data silos and powering omni-channel journeys are key.Key Takeaway: Having a generalist background isn't just about being a jack-of-all-trades; it's about mastering system-level thinking. This kind of broad perspective is invaluable in marketing technology, where understanding how various components interact can significantly improve efficiency and effectiveness. By being well-versed in multiple areas, you're better equipped to tackle complex challenges and integrate solutions that drive measurable results.The Power of Generalism in a Specialized Marketing WorldWhen asked about the value of a generalist background in martech, Natalie explained that many marketing organizations structure themselves around specific channels, but doing so can have its drawbacks. Specialists may be excellent at understanding the intricacies of a particular channel like Google Search but may lack a broader understanding of how to harmonize different channels for an integrated, omni-channel experience.Natalie pointed out an often-overlooked aspect of specialized teams: they often onboard tools designed to solve specific channel needs. While this specialization can drive short-term success, it often fails to consider the bigger picture. As marketing complexity grows and companies aim for more personalized, omni-channel experiences, the need for someone who can tie all these disparate elements together becomes increasingly important.In the startup world, this is especially significant. Startups usually kick off with generalists who can wear multiple hats and pivot as needed. As the company matures, specialists are added to the mix. Natalie highlighted the risks of over-indexing on channel-specific experts. T

What’s up everyone, today we’re taking a deep dive into customer data and the stack that enables marketers to activate it. We’ll be introducing you to packaged customer data platforms and the more flexible options of composable customer data stacks and getting different perspectives on which option is best.I’ve used both options at different companies and have had the pleasure of partnering with really smart data engineers and up and coming data tools and I’m excited to dive in.Here’s today’s main takeaway: The debate between packaged and composable CDPs boils down to a trade-off between out-of-the-box functionality and tailored flexibility, with industry opinions divided on what offers greater long-term value. Key factors to consider are company needs and data team size. But if you do decide to explore the composable route, consider tools that focus on seamless integration and adaptability rather than those who claim to replace existing CDPs.The 8 Core Components of Packaged CDPs: What the Experts SayOkay first things first, let’s get some definitions out of the way. Let’s start with the more common packaged CDPs.A Customer Data Platform (CDP) is software that consolidates customer data from various sources and makes it accessible for other systems. The end goal is being able to personalize customer interactions at scale. I’ve become a big fan of Arpit Choudhury of Data Beats, he articulates the components of a packaged CDP better than anywhere I’ve seen in his post Composable CDP vs. Packaged CDP: An Unbiased Guide Explaining the Two Solutions In Detail. 8 packaged CDP components:CDI (Customer Data Infrastructure): This is where you collect first party data directly from your customers, usually through your website and apps.ETL (Data Ingestion): Stands for Extract, Transform, Load. This is about pulling data from different tools you use and integrating it into your Data Warehouse (DWH).Data Storage/Warehousing: This is where the collected data resides. It’s a centralized repository.Identity Resolution: This is how you connect the dots between various interactions a customer has with your brand across platforms and devices.Audience Segmentation: Usually comes with a drag-and-drop user interface for easily sorting your audience into different buckets based on behavior, demographics, or other factors.Reverse ETL: This is about taking the data from your Data Warehouse and pushing it out to other tools you use.Data Quality: This refers to ensuring the data you collect and use is valid, accurate, consistent, up-to-date, and complete.Data Governance and Privacy Compliance: Ensures you’re in line with legal requirements, such as user consent for data collection or HIPAA compliance for healthcare data.So in summary: Collect first party data and important data from other tools into a central database, id resolution, quality and compliance, finally having a segmentation engine and pushing that data to other tools.I asked recent guests if they agreed with these 8 components.Collection, Source of Truth and SegmentationBoris Jabes is the Co-Founder & CEO at Census – a reverse ETL tool that allows marketers to activate customer data from their data warehouse.When asked about his definition of a packaged CDP, Boris elaborated on the role these platforms have carved for themselves in marketing tech stacks. To him, packaged CDPs are specialized tools crafted for marketers, originally in B2C settings. Their primary utility boils down to three main functions: data collection, serving as a reliable data source specifically for the marketing team, and data segmentation for targeted actions.The ability to gather data from various customer touchpoints, such as websites and apps, is crucial. These platforms act as the single source of truth for that data, ensuring that marketing teams can trust what they’re seeing. Finally, they provide the capability to dissect this data into meaningful segments that can be fed into other marketing tools, whether that’s advertising platforms or email marketing solutions.Though Boris mentioned the term “DMP,” it’s essential to differentiate it from a CDP. Data Management Platforms (DMPs) have historically been tied to advertising and don’t provide that rich, long-term profile a CDP can offer. The latter offers a more holistic view, allowing businesses to target their audience not just based on advertising metrics but on a more comprehensive understanding of consumer behavior.Key Takeaway: Packaged CDPs are functional units that collect, validate, and segment data for marketing utility. If you’re considering implementing an all-in-one CDP, look for these three core features: comprehensive data collection, a single source of truth for that data, and robust segmentation capabilities.Adding Predictive Modeling to Packaged CDPsTamara Gruzbarg is the VP Customer Strategy at ActionIQ – an enterprise Customer Data Platform.When asked about her stance on 8 components of a packaged CDP, Tamara generall

What’s up folks, today we’re joined by Ryan Gunn, Director of Demand Gen & Marketing Ops at Aptitude 8.Summary: HubSpot is not just a user-friendly CRM but also a forward-looking tool in the rapidly evolving world of AI and martech. While it's not a substitute for a dedicated data warehouse for complex queries, it serves well as a real-time connector to other systems via CRM cards. Gaining practical skills from HubSpot's developer portal is critical—certifications alone won't cut it. If keeping up with martech changes overwhelms your in-house team, specialized consultancies offer a reservoir of constantly updated expertise. Sound documentation serves as the bedrock of your internal processes, setting you up for long-term success. Don't just read about it; listen to the podcast episode for deep, actionable insights into leveraging HubSpot for AI integration and data quality.About RyanRyan started his career by getting his feet wet freelancing in design and social media projectsHe took on the role of Inbound Marketing Account Exec at Boyle public affairs where he got to wear a bunch of different marketing hats, including his first taste of HubspotHe later became Senior Digital Marketing Manager at WealthForge, a fintech company where he owned marketing automation and lead genRyan the took on the challenge of Head of Marketing at Array, an event technology startup where he built their marketing department from the ground up in two yearsToday, Ryan works at Aptitude 8, an Elite HubSpot partner consultancy where he started in a client facing consulting role helping clients with big hairy migration projects like migrating Marketo and Pardot into Hubspot and marketing attribution projectsToday he’s Aptitude 8’s Director of Demand Gen and MOPs responsible for growing the consultancy’s services business and brand awarenessHubSpot's Emerging AI Landscape and Market AdoptionWe started by asking Ryan about his experience with HubSpot's new AI tools and their current usage in the market, he offered a comprehensive view. HubSpot is rolling out two significant tools: Content Assistant and ChatSpot. Content Assistant serves as an internal ChatGPT, letting users draft blog posts or emails directly within HubSpot's interface. ChatSpot, while more complex, operates as an external system linked to your CRM data, generating reports through natural language prompts.However, these tools are still in the nascent stage. Ryan revealed that the implementation rate is relatively low at this point. Despite the curiosity among clients to explore these features, the tools haven't fully integrated into business processes yet. But don't let that deter you; HubSpot is ahead of the curve in the AI game. According to Ryan, HubSpot has already laid out a roadmap for AI-based tools that will extend far beyond just Content Assistant and ChatSpot. We're talking about reporting assistants, automation assistants, and even an AI-powered website builder.This isn't a mere extension of existing features; it's a reimagination of what a CRM can be. HubSpot is not stopping at providing the basic CRM tools; they're layering AI functionalities on top, touching every aspect of their platform. While current adoption may be slow, Ryan sees this as an indicator of an inevitable, transformative change in how businesses will interact with CRMs.Key Takeaway: The adoption rate of HubSpot's new AI tools may be in its infancy, but that's more a function of market readiness than a comment on the tools' potential. With an expansive AI roadmap, HubSpot is setting the stage for a future where AI isn't just an add-on; it's intrinsic to the CRM experience. It's worth keeping an eye on HubSpot's next moves, as they'll likely set the pace for the industry.The AI Integration Dilemma for Emerging Tech FoundersWhen Ryan was asked about the hesitation some tech founders have regarding AI integration into their products, his stance was unequivocal: it's early days, but progress is rapid. A mere six months ago, AI was barely a blip on most of our work radars. Now, it's becoming integral. Founders find themselves at a crossroads, forced to make a pivotal decision. Either integrate AI into their software or offer the option to connect their software with AI tools via third-party platforms like Zapier.But this isn't a decision to make lightly. According to Ryan, it boils down to whether the company aims to be a comprehensive platform or a specialized point solution. Opting for the latter means the pressure is on to excel in that niche. If they don't, larger platforms like HubSpot are poised to scoop up those features, layer AI functionalities over them, and package it as a part of their already established CRM systems. These integrated solutions may not be better, but they offer convenience by residing in an ecosystem clients are already invested in.So what's the crux of the issue? To integrate or not isn't just a technical decision; it's a strategic one that could define a compa

Summary: Skip the job title obsession and focus on work that matters to you. Learn from Tara's "The Sauce" model: pick the right channels and keep your promises for sustained engagement. Her social-first demand gen approach and simple yet creative hot sauce branding show how to resonate in today's martech scene. Use personal biases to create targeted campaigns and ignore buzzwords and rigid MQL definitions. Tara's strategy—act on active interest immediately—cuts through the noise and boosts efficiency. Whether it's career or marketing, it’s all about authentic, effective action.About Tara:Tara got her start in a communications role at Polar Mobile and later transitioned to focusing on inbound marketing at ScribbleLive, a live-blogging platform based in TorontoTara then made the move to martech joining the popular content experience platform Uberflip as Demand Gen Manager where she spent nearly 3 years and worked her way up to Director of Revenue MarketingShe later transitioned to a Senior Manager of Demand Gen role at Top Hat, a higher ed learning platformFor the last 2 years she’s been at Chili Piper, a meeting automation platform for demand gen teams where she started as Demand Gen Manager and has recently been promoted to Head of Demand GenAt Chili Piper she’s also the host of the acclaimed Demand Gen Chat podcast where she’s interviewed prominent guests from companies like LinkedIn, 6sense, Refinelabs and more!The Overrated Chase for Job Titles and the Importance of Aligning Career GoalsWhen asked about the variation in job titles on her resume, Tara offers insight that runs counter to conventional career advice. Tara's journey from a director-level position at Uberflip to managerial roles at Top Hat and Chili Piper wasn't about regressing; it was about finding her fit. At Uberflip, Tara experienced rapid promotions, roughly every six months, which led her to believe in the importance of titles. However, she realized that the titles often didn't correlate with her day-to-day responsibilities. In her first role, although under the umbrella term of 'communications,' Tara juggled between answering phones, booking CEO's travels, and setting up the company's first Twitter account. Titles can be deceptive.Tara also points out the dangers of chasing managerial roles for the sake of it. At Top Hat, her role morphed into what she describes as a "middle manager." While this was somewhat fulfilling in person, the transition to remote work revealed cracks in the facade. She found herself swamped in one-on-one meetings, feeling unproductive and unmotivated. Her realization led her to seek something that resonated more authentically with what she wanted to do.So, what is Tara's advice to those hesitant to take a perceived step back in their careers due to job titles? She underscores the importance of prioritizing what you truly value in your career over a title. In all her roles, irrespective of what the title implied, she never had to take a pay cut. Her guiding lights have been the people she wants to work with and learn from, not the titles she could acquire.Key Takeaway: The fixation on job titles can be a mirage, leading professionals down paths that may not align with their true career goals or personal happiness. It’s not the title, but the work and the people around you, that should guide your career decisions.People Manager or Individual Contributor: Choosing Your Marketing Career PathWhen asked about the viability of choosing to be an individual contributor over a people manager in marketing, Tara touches on a key decision point: personal motivation. If your prime motivator is financial gain, then pursuing a managerial role might offer the quickest route to that objective. However, if the allure of hands-on work, creativity, and constant learning excites you, Tara suggests thinking outside the conventional career ladder.Tara's current role, technically a people manager position, involves wearing multiple hats because her marketing team consists of just eight people. This underscores the variability of job titles and roles; what might be a managerial role in one setting could be a blend of individual contributions in another. Thus, titles can't be the sole determinant when choosing a career path.Tara emphasizes the need to introspect on what you truly enjoy doing day-to-day rather than obsessing over how your resume appears. She advises that those entering the field should experiment with both roles. Try out being an individual contributor and dabble in management, if possible, to get a real feel for where your interests and skills align.Key Takeaway: The choice between becoming a people manager or an individual contributor should hinge on your personal goals, be it financial or the type of work that genuinely engages you. Titles and job descriptions can be fluid, and what's crucial is aligning your career with what motivates you each day.Stepping Up to the Mic: How Tara Rejuvenated an Existing PodcastWhen q

What’s up folks, we’ve got another roundup episode today and we’re talking AI. Before you dismiss this and skip ahead, here's a quick summary of why the excitement around generative AI isn't just hype—it's a sustainable shift.While some may perceive AI to be losing steam, largely due to a surge of grifters in the field, this is not your average trend. In Episode 78, we spoke with Juan Mendoza, CEO of TMW, about why generative AI is distinct. It's not mere hype or a future possibility; generative AI delivers practical value today.Examining Google Trends data for the search term "AI + marketing," we notice a significant surge starting in November 2022, coinciding with the release of ChatGPT. This surge peaked in May 2023 when GPT-4 became mainstream. Normally, you'd expect interest to wane after such a peak, but it has barely dipped. We're currently sitting at a 94/100 search interest, compared to this summer's peak. This suggests a sustained, rather than fleeting, interest in the technology.While nobody has a crystal ball, there's broad agreement that AI is far from making marketing roles obsolete. Instead, it's augmenting the work we do, not replacing it.In an effort to explore further how we can better future proof ourselves, I've asked guests what specific aspects of marketing make it resistant to AI. The insights from these discussions have been fascinating, underscoring the unique value and human touch that marketers bring to the table.Here’s today’s main takeaway: Your real edge in marketing fuses a nuanced understanding of business context, ethics, and human emotion with capabilities like intuition, brand voice and adaptability—areas where AI can sort data but can't match ability to craft compelling stories. AI isn't pushing you aside; it's elevating you to a strategic role—given you focus on AI literacy and maintain human oversight. This isn't a story of human vs. machine; it's about how both can collaborate to tackle complexities too challenging for either to navigate alone.AI is less a replacement and more of a reckoning. It's not coming for us; it's coming for our inefficiencies, our lack of adaptability, and our refusal to evolve. AI is holding up a mirror to the marketing industry, asking us not if we can be replaced, but rather, why we haven't stepped up our game yet. Buckle up; this roundup of experts doesn't just debate the future—it challenges our very role in it.Why AI Can't Fully Replace Human Nuance in Marketing OperationsLet’s start off in Marketing Operations with Mike Rizzo, the founder of MarketingOps.com. We asked him to dive into his view that AI won't be replacing marketing jobs "anytime soon," a point that has some level of ambiguity. The question aimed to uncover what Mike specifically means by "anytime soon" and why he believes that AI won't fully automate the marketing Operations sector in the near future.Mike highlighted the intricacy of marketing operations that he believes will be resistant to full automation. Specifically, he mentioned that marketing across SMBs and enterprises involves nuanced processes. The differentiation between types of leads—MQL, SQL, PQL, and so on—each has its own distinct workflow and architecture. This makes it a highly tailored field, more a craft than a science, and challenging to automate.Mike pointed out that the entire operational architecture, from data movement to notification protocols, is unique to each organization. It's precisely this framework that makes it hard to replicate with AI, regardless of its computational abilities. While he admitted that AI could offer suggestions in optimizing specific metrics or elements, such as lead scoring, Mike emphasized that these technologies serve better as consultants rather than decision-makers.The implementation of martech stacks, according to Mike, is akin to running a product. From understanding the product roadmap to enabling team members, AI can at best serve as a consultation service, streamlining processes but never fully taking over. Each tech stack is tailored to an organization's needs, something that AI, for all its merits, struggles to capture in its full complexity.Mike also confessed to leveraging AI for particular tasks but remains skeptical about its ability to handle the fine-tuning required in the marketing ops and RevOps space. He argued that while AI can assist, it can't replace the distinct, specialized requirements that each marketing operation demands.Key Takeaway: Mike suggests that AI has its uses, but the nuanced, unique nature of marketing operations makes it a field that's resistant to full automation. There's value in human oversight that not even the most advanced AI can replicate.Trust in Data and the Ability to Constrain AI ResponsesWhile AI might have some challenges with the nuances of marketing Ops, AI does have a foothold in some marketing sectors. Boris Jabes, the co-founder and CEO at Census, acknowledged AI’s ability to drive efficiency, especially in advert

What’s up folks, today we’re extremely privileged to be joined by David Chan, Managing Director at Deloitte Digital.Summary: Keep a keen eye on the modular evolution of CDPs. Know that reverse ETL tools are tactical additions, not replacements. Expect to reevaluate the roles of older platforms in your martech stack as CDPs get smarter. And if your organization's data strategy resembles more of a herding cats scenario than a well-oiled machine, maybe it's time to look into that dual-zone approach. It's a way to make sure everyone from your IT folks to your marketing creatives are playing from the same strategic playbook.About DavidDavid started his journey with PepsiCo as a Data Strategy Analyst and progressed to a Senior Associate role at Accenture InteractiveHe then joined Deloitte Digital as a Senior Consultant where he worked his way up to Managing Director, leading their CDP practice and focusing on Marketing Transformation and OperationsHe possesses extensive knowledge in crafting real-time personalization strategies, blending Identity Resolution, Customer Data Platforms (CDP), AI/Machine Learning, Dynamic Content, and their interplay within the broader martech ecosystemAt Deloitte, David also works with product engineering teams to develop assets using tech platforms like AWS, Snowflake, Adobe, Salesforce and many others.From Web Analytics to CDPs: David's Evolution in MartechWhen asked about his journey into the world of Customer Data Platforms (CDPs) and martech, David candidly revealed that CDPs were nowhere on his radar back in 2010. Those were the days when conversations in the marketing tech space revolved around web analytics, content management, and commerce systems. No one was losing sleep over data management; instead, the questions on everyone's lips were about the promise of mobile apps. Is mobile going to be a big deal? Will people actually shop on a tiny screen? David noted that his professional background was solidly rooted in digital marketing, with a focus on areas like web analytics and content management. He didn't venture into the data-centric world of CDPs until about five years ago. The pivot happened when Deloitte, where David was employed, made a strategic acquisition. For the first time, they brought a company into the fold that specialized in data and analytics, a capability entirely new to Deloitte's existing services. It was this event that nudged David to start integrating this newfound expertise into Deloitte's broader service portfolio. He shared that this acquisition was a sort of aha moment for him, leading him to delve deeper into the CDP arena. Before this, the martech issues that were top of mind for him and the industry were focused elsewhere. Now, with this new role, David began to consider how to marry data and analytics capabilities with existing digital marketing services. His career took a turn, opening up new avenues and challenges.At this point, David's journey becomes a testament to how quickly martech can pivot and evolve, but also a case study on the necessity of adaptability in one's career. David’s path shows that sometimes, the most significant career shifts happen when you're willing to integrate new, emerging components into your existing skill set. Key Takeaway: David's shift from web analytics to CDPs didn’t happen overnight but was catalyzed by a crucial acquisition at Deloitte. His career trajectory illustrates that being open to new opportunities, especially those that are tangential to your existing expertise, can make all the difference.The Future Isn't Unbundled, It's Composable: David's Take on CDPs When asked about his unique take on the future of CDPs, particularly as articulated in his article responding to claims that "CDPs are dead," David drew parallels to his earlier experiences in the world of commerce. According to him, before one could even talk about a composable CDP, it's crucial to understand headless commerce. Back around 2013-2015, headless commerce decoupled web content management from the more intricate logic of commerce tools. In simpler terms, the pretty face of the website was one tool; the behind-the-scenes grunt work of product listings and checkouts was another. David noted that this breaking apart into components wasn't just a neat trick—it was an evolution seen in various technologies, especially commerce. Fast-forward to CDPs today, and there's a glaring issue. While commerce tools have achieved a kind of "modular maturity," CDPs lag behind. The tools exist, but how they should integrate is still a murky question. There's no established standard or framework yet that guides how these diverse tools and features should come together in a seamless, unified way. He went on to clarify that this lack of standardization in the CDP landscape is what makes an unbundled approach impractical, for now. In contrast, the commerce space went through a period of consolidation and standardization that made headless systems not just

What’s up folks, today I have the pleasure of sitting down with Lucie De Antoni, Head of Marketing at Garantme.About LucieBorn and raised in France, Lucie got her start in event management before joining AirPlus International, the financial subsidiary of Lufthansa. At AirPlus she wore both marketing and communications hats, at local and global levelsShe stayed in the travel market moving over to HRS Group, an eComm company focused on hotels distribution where she got a taste of Growth marketingRecently she was Head of Global Marketing at Jenji, one of the leading expense management tools where she managed an international marketing team across various functionsLucie is also a Marketing Consultant working with early stage startups through Station F, the biggest startup incubator in FranceShe’s a mentor at Women in Tech network as well as WILLA supporting women and mixed teamsToday she’s Head of Marketing at Garantme, an insurtech focused on real estate agenciesThe Limits of AI in Taking Over Marketing JobsWhen Lucie was asked about the rapid advancements in AI and the looming question of whether it could entirely replace marketing roles, her answer was a measured one. Yes, AI is making waves in various industries, including marketing. It's great for automation and can handle a variety of tasks that were previously manual and time-consuming. But don't start thinking it's time for marketers to pack up their desks just yet.According to Lucie, the real barrier for AI lies in mimicking human creativity and emotional intelligence. Marketing isn't just about numbers and algorithms; it's also about connecting with people on an emotional level. You're telling stories, crafting narratives, and essentially understanding what makes your audience tick. And that's where AI falls short. As of now, AI lacks the ability to truly understand human emotions and to use that understanding to create compelling stories or campaigns.Lucie emphasized that this limitation is actually good news for marketers. It means that while some tasks might become automated, the core of what makes marketing genuinely effective—the human touch—is something that AI can't replicate yet. In her view, this complex blend of creativity and emotional insight is why marketers are still very much needed in the business landscape.Key Takeaway: AI can automate and streamline a lot, but it can't replicate human creativity and emotional intelligence. This limitation is less a setback and more a reaffirmation: the essential skills marketers bring are irreplaceable.The Future of AI in SEO and Content CreationWhen asked about new categories or areas in martech that excite her due to AI advancements, Lucie got straight to the point—SEO and content creation are the game-changers. Not just because they're trendy, but because they've been persistent challenges for marketers across industries, whether you're a startup or an enterprise. Lucie candidly shared her experience with SEO; it's a field where you think you've finally cracked the code, only to find out months later that your results are still lackluster for the amount of effort you've poured in.This is where AI, particularly natural language processing, is starting to rewrite the rules. According to Lucie, it's the technology's ability to produce high-quality, relevant, and personalized content at scale that's truly groundbreaking. Teams can now churn out market-matching content without the human resource bottleneck. It doesn't replace the human touch, but it does elevate it, allowing teams to focus more on strategy than menial tasks.But it's not just about churning out content. Lucie emphasized the role of AI in data-driven decision-making. With AI-powered tools, you're not just throwing stuff at the wall to see what sticks. You can now conduct market research, adapt your content strategy, and even adjust your editorial line. This is particularly invaluable in SEO, a field that's not just about numbers but also about understanding market dynamics, content quality, and the right toolsets.Lucie also made an interesting comparison between SEO and SEA/SEM. While SCA is primarily about numbers and budgets, SEO requires a more nuanced approach. It's not just what your competition is doing; it's also about the content you create and the tools you use. AI is now setting the stage for a much-needed evolution in SEO, enabling teams to be more effective and strategic.Key takeaway: Natural language processing through AI isn't just a 'nice-to-have' feature for your content and SEO strategies. It's become the edge that cuts through the noise, enabling not just automation but actual quality at scale. Forget the manual grind; AI allows you to adapt in real-time, revolutionizing the way you approach SEO from a problem to be solved to a game to be won.Elevating Data Literacy: A Marketer's Roadmap to SuccessWhen asked about the significance of data in today's martech landscape, Lucie doesn't hesitate to emphasize its pivotal role

What’s up folks, today we’ll be joined by various martech pros sharing their opinions on the topic of warehouse-native martech.The landscape of marketing technology architecture has been undergoing – what you might call – a seismic shift and many don’t even realize it. In this transformation, there’s a remarkable development - warehouse-native marketing technology, an innovative breakthrough that promises to reshape the entire industry for the better, but comes with plenty of questions and skepticism. Here’s today’s main takeaway: As we navigate the potential transformation to warehouse-native martech, the single most critical action is to prioritize achieving high-quality, well-structured data; it's the golden key to unlocking the full potential of these emerging tools and strategies.This episode explores the various facets of warehouse-native martech and its viability, pulling in insights from industry experts, piecing together a comprehensive view of this groundbreaking shift.What are warehouse native martech or connected apps?In Dec 2021, Snowflake introduced a new term, 'connected applications'. Unlike traditional managed SaaS applications, connected applications process data on the customers' data warehouse, giving customers control over their data Benefits include preventing data silos, removing API integration backlog, enabling custom analytics, upholding data governance policies, improving SaaS performance, and facilitating actionable reportingIn other words, instead of making a copy of your DWH like most CDPs ad MAPs do today, everything lives on top of the DWH and you don’t have to pay for copying your db.Some companies solving this for product analytics are Rakam, Indicative, and Kubit. Census and Hightouch are also doing this, being warehouse-native activation tools sitting on top of a DWH and don’t store any of your data. Some Messaging companies solving this use case natively on the cloud warehouse are Vero, Messagears, and Castled.Revolutionized Data Handling in Customer Engagement PlatformsIndia Waters currently leads growth and technology partnerships at MessageGears. She explains how her company’s differentiation comes from its unique handling of customer data.Unlike competitors such as Salesforce Marketing Cloud or Oracle, which require a copy of customer data to live within their tool, MessageGears directly taps into modern data warehouses like Snowflake or Google BigQuery. This unique approach is born out of the inefficiency and high costs of older platforms that necessitate copying and moving data into multiple marketing tools.India vividly portrayed the challenge this old approach creates, imagining the confusion and resource consumption of working with out-of-date data across numerous tools. By not having to have a copy of customer data, MessageGears solves this problem for big companies, eliminating waste and creating a more coherent understanding of the customer's journey. Clients like OpenTable, T-Mobile, and Party City can now work with the most up-to-date data, using it as a source of truth for better analytics and customer experiences.Reflecting on how MessageGears had to become thought leaders in this approach, India acknowledged that it took time for the industry to understand and accept this innovative method. But as awareness has grown, the approach is now seen as a logical and necessary step in the evolution of customer data handling.Takeaway: MessageGears' refusal to follow the traditional path of copying customer data into its tools is a game-changer in the world of customer engagement platforms. By plugging directly into modern data warehouses, they've solved a problem that has plagued big companies, enabling them to use the most up-to-date data for insights and experiences. The industry has evolved, and MessageGears is leading the way with an approach that makes sense for today's data-driven world.Rethinking User Database Size Pricing in MartechWhile MG has been around since 2011, more and more startups are waking up to the idea of directly accessing brands’ first-party data instead of relying on cloud data syncs. We also chatted with Arun Thulasidarhan, CEO & Co-founder at Castled.io. They're a warehouse-native customer engagement platform that sits directly on top of cloud data warehouses. Arun and his team set out to disrupt traditional martech to fix some of the fundamental problems as it relates to the significant disconnect between the number of users a company pays to store in their database and the actual value derived from them.He emphasized that having millions of users doesn't necessarily translate to substantial revenue or value, especially for smaller B2C companies. He critically questioned whether traditional pricing models based on user database size were really delivering value for businesses. Arun then went on to explain how Castled.io approaches this differently, choosing a more logical and direct connection between cost and benefit. Unlike other

What’s up folks, today I have the pleasure of sitting down with Tamara Gruzbarg, VP Customer Strategy at ActionIQ – an enterprise Customer Data Platform.Summary: The discussion centered around the nuanced relationship between AI, marketing, and customer data platforms (CDPs). Tamara highlighted the excitement and limitations of AI, emphasizing the irreplaceable role of human creativity and business context. Her insights extended to the advancements in generative AI, the flexible approach of ActionIQ in dealing with CDPs, and the importance of aligning technology with an organization's strategy and capabilities. The conversation provided a rich exploration of the future of AI in marketing and the evolving landscape of CDPs, offering actionable insights that stress the need for human ingenuity and flexibility in today's market.Can AI Replace Everything a Marketer Does?When asked about the recent exhilaration in the marketing world around AI, especially with the emergence of ChatGPT, and the fears and challenges that AI may replace all the functions of a marketer, Tamara expressed both excitement and a clear understanding of the boundaries. She emphasized that although AI has transformative potential, the notion of it replacing everything in marketing is far from reality.Tamara eloquently pointed out that AI has the power to take over menial, repetitive tasks within marketing, thus automating and optimizing several functions. This transition, she noted, will require professionals to acquire new skills to effectively partner with AI, often referred to as "Gen AI."She further illuminated the philosophy of ActionIQ, where AI is seen as a "human in the loop" system. In other words, AI can assist with content generation, but it still needs human guidance. This insight reflects the company's belief that AI doesn't pull ideas out of thin air; it requires a marketer's creativity, tone of voice, and style to guide its output. Without this human collaboration, marketing initiatives risk becoming monotonous and less effective.Using the widely accepted phrase "we need to cut through the noise," Tamara argued that it's even more critical to have a human in the loop with systems like ChatGPT to ensure uniqueness and effectiveness in marketing strategies.In her thoughtful and informed response, Tamara envisioned AI as an extension of existing tools rather than a replacement. She reinforced that building robust models for predictions such as conversion or churn rates necessitates a strong grasp of business context and data structure, something only humans can provide.Takeaway: AI's role in marketing is neither an all-encompassing replacement nor a threat to creative and strategic aspects. Instead, Tamara sees it as a tool for enhancing productivity by automating repetitive tasks and acting as an assistant in content creation. Its success, however, relies on human intelligence and intuition to guide it, maintaining the unique flavor and effectiveness of marketing initiatives. The human element is not only vital but irreplaceable, especially when it comes to cutting through the noise in today's competitive landscape.Machine Learning and Personalized MessagingWhen asked about the real valuable innovations in AI for marketing applications, especially concerning machine learning and natural language processing in the realm of self-optimizing campaigns, Tamara expressed both enthusiasm and caution. She acknowledged the promising nature of the area, reflecting on how the journey began with email service providers (ESPs) optimizing send times to maximize email open rates. This has evolved to include subject line testing, allowing a winning version to reach a larger audience. These components, Tamara explained, are part of a more comprehensive journey towards achieving self-optimizing customer experiences.With the advancements in generative AI, it's now possible to couple micro-segments with the dynamic capabilities of language models. Tamara finds this intersection particularly exciting, yet she maintains a skeptical stance regarding the idea of fully self-optimized journeys. Her perspective as a "human in the loop" proponent leads her to foresee the near to medium future as one where businesses might perceive the journey as self-optimizing, but human involvement will still be essential.Vendors promising self-optimization will require considerable human effort to ensure that these AI-driven journeys not only function properly but also drive the business forward. The allure of using AI to personalize messaging and orchestrating the best message at the perfect time may be strong, but Tamara's insights suggest that we are still on a path where human insight and input are invaluable.Takeaway: The intersection of AI and marketing is an exciting area that promises innovations in self-optimizing campaigns. However, as Tamara explains, the road to complete automation is still a work in progress, and human involvement remains crucial. The ble

What’s folks, today I’m pumped to be joined by Michael Katz, CEO and co-founder at mParticle, the leading independent customer data platform.Summary: In the contentious debate over Packaged and Composable CDPs, Michael delivers a clear-eyed perspective that cuts through the hype. Rejecting the idea that Pacakged CDPs are becoming obsolete, he emphasizes the continued importance of data quality, integrity, and privacy, and he warns against becoming entangled in marketing illusions. He also highlights the need for adaptability, dismissing some of the more pervasive myths in the martech landscape, such as the magic of zero copy data. With strategic acquisitions, mParticle is focusing on intelligence and automation, aiming to be more than just “simple pipes” in data management. Michael’s insights provide a grounded roadmap, focusing on genuine value creation and thoughtful navigation of the complex industry that is Customer Data Platforms.About MichaelMichael got his start as an analyst at Accenture and later focused on customer acquisition and marketing strategy for a mobile content companyHe entered the entrepreneurial world founding interclick in 2005, a data-valuation platform for advertisersHe ran the company as President and took the company public in 2009 and sold to Yahoo in 2011 for $270M He’s been on the Board of Directors for several companies including Adaptly and BrightLineHe’s a volunteer at Southampton Animal ShelterHe’s also a Mentor at TechstarsAfter a year as VP of Optimization and Analytics at Yahoo after his company’s acquisition, Michael took on his second venture, co-founding mParticle in 2013mParticle is a global, remote-first company that provides a real-time AI customer data platform. They help get the highest quality customer data to any system that marketers or product managers use – ultimately improving customer experiences. They work with big players and small, fueling the customer success of brands like Paypal, Seatgeek, Venmo, Headspace, Lyft, McDonalds, and Airbnb.Unpacking the 8 Components of Customer Data PlatformsWhen asked about Arpit Choudhury’s enumeration of the eight essential components of Customer Data Platforms (CDPs), Michael’s response was swift and assertive. With an appreciative shoutout to Arpit for articulating the complex aspects of CDPs, he aligned himself with the eight facets laid out in the question.These eight components, according to Michael, indeed compose an end-to-end solution for the first generation of CDPs. They include:CDI, customer data infra, collect 1st party event data from customers from website and appsETL, data ingestion, extract data from other tools and load it into DWHData Storage/warehousing, store a copy of data collectedIdentity resolution, a solution for tying together a customer’s various interactions with you across multiple platforms and devicesAudience segmentation, drag and drop UIReverse ETL, extract/activate from DWH to other toolsData quality, validity, accuracy, consistency, freshness, completeness… Data governance and privacy compliance, user consent, HIPAA complianceEmphasizing the integrated nature of these components, Michael asserts that the value of the whole system is greater than the sum of the individual parts. He proudly reflects on mParticle’s reputation as a complete CDP and emphasizes that many existing CDPs lack strong stories around data quality and governance.The conversation with Michael reveals his confidence in the synergy that arises when these parts function together. He cautions against skipping any of these steps, underscoring that a weak foundation will undermine the entire system. Speed in data processing should not compromise quality and privacy protection, and mParticle’s holistic approach ensures this balance is maintained.Takeaway: Michael’s insights into the eight essential components of CDPs not only align with industry experts but also highlight the importance of a unified approach. By valuing integration, quality, and consumer privacy, mParticle positions itself as a leading player in the CDP landscape. The wisdom shared by Michael emphasizes that genuine value is derived not merely from the individual elements but from the careful orchestration of all parts into a coherent and resilient system.Debunking the Myths Around Reverse ETL and Composable CDPsReverse ETL and composable CDP proponents assert that the traditional CDP is becoming obsolete and that the future lies in Composable CDPs that leverage modern data warehouses and processes like Reverse ETL. Claiming that existing CDP vendors will have to adapt to this shift or risk becoming irrelevant.Michael’s written extensively about this debate over the years. He argued that product marketing around the composable CDP is just modern day sleight of hand tricks…designed to dupe the buyer. To be fair, mParticle has adapted to the rise of the modern data stack by offering services like data warehouse sync and value-based pricing. Michael highligh

A Two Decade Journey Through the Whirlwind of Tech When asked about her impressive tenure at Acquia and Widen, spanning nearly 20 years, Deanna offered a wealth of insight. Unlike many professionals in the tech industry who frequently switch roles, Deanna has remained at Widen, continuing with the organization even after its acquisition by Acquia. The secret to her long-term commitment, she explained, is the opportunity for growth and the freedom to evolve without stagnation. In search of what she referred to as the 'Goldilocks' of companies, she found the perfect balance at Widen. The organization was large enough to offer learning opportunities and yet small enough to let her make an impact. This was back in 2004, a time when print was still dominant, smartphones and social media were yet to revolutionize the world, and 'martech' hadn't entered the business vocabulary. Deanna was part of a small software team tasked with the transformation of Widen, a pre-press company established in 1948, into a leading player in the software and martech industry.Deanna has been instrumental in the company's journey to becoming a significant provider of SaaS solutions and a force in martech. The excitement of riding the waves of innovation in marketing technology, she admitted, has been a captivating part of her career. Over the past decade, Deanna's focus has shifted to the human element of martech—exploring how people use these technologies, how behaviors intersect with tech growth, and what software vendors can do to support everyday tasks. This focus on the people-centric side of the rapidly advancing martech world has fuelled her passion in recent years.Takeaway: Deanna’s enduring presence at Acquia and Widen is a testament to her adaptability and eagerness for growth. She has navigated through tech revolutions, transforming Widen from a pre-press company into a significant player in the martech world, all the while maintaining a people-centric focus. Her story underlines the significance of seizing opportunities and staying agile in the ever-transforming tech landscape.Unraveling Martech Acronyms: DAM and DXPWhen queried about the confusing array of acronyms in the martech space, Deanna readily acknowledged the "alphabet soup". She then proceeded to shed light on two key terms - DAM (Digital Asset Management) and DXP (Digital Experience Platform). Deanna's enthusiasm for DAM was infectious as she described it as a system that allows organizations to create, manage, and distribute thousands, if not millions, of digital assets for their brands, products, and services. DAM is essential to industries ranging from non-profits and higher education to financial services and hospitality. In essence, any sector that needs to manage a slew of digital files benefits from DAM. The aim is to ensure consistency and reinforce brand management.Next, Deanna turned her attention to the concept of DXP, the digital experience platform. At its heart, a DXP is about combining data and content to craft meaningful user experiences. Key tools like Drupal or WordPress, known as content management systems, come into play here. The process involves weaving together images and data to tailor personalized customer journeys. Machine learning is used to further enhance and scale these experiences across various touchpoints.The discussion highlighted the need for organizations to embrace technologies like DAM and DXP to meet the evolving expectations of their audiences, whether it's web-based interactions or exploring potential frontiers like VR, AR, and metaverses.Takeaway: Acronyms like DAM and DXP are more than just letters—they signify critical aspects of modern martech. DAM helps organizations manage an immense amount of digital content, ensuring brand consistency, while DXP amalgamates data and content to create personalized customer experiences. In the realm of martech, understanding and leveraging such tools is the key to delivering effective digital experiences.Dissecting the Packaged vs Composable Debate in MartechWhen Deanna was asked about the debate between packaged and composable solutions in the martech space, she provided an insightful response. Her viewpoint emphasizes the importance of tailoring solutions to an organization's internal team dynamics and willingness to change.In some cases, Deanna explained, packaged solutions like Acquia's suite of offerings - which includes a content management system (CMS), a hosting platform, a customer data platform (CDP), and a marketing automation platform - might be the best fit. These ready-to-go solutions can provide faster time to value and seamless integration. Yet, Deanna was quick to recognize that not all organizations are poised to change their processes to fit into a pre-bundled solution.For organizations that find it challenging to adjust their processes, Deanna advocated for the flexibility of composable solutions. With these, companies can choose individual point solutions and i

Summary: Arun clarifies 'warehouse-native' and 'connected' concepts, positioning Castled.io as a flexible solution that caters to specific customer needs. He addresses challenges in traditional martech, such as the disparity between customer base size and value derived, and presents Castled.io's unique solutions like an alternative pricing model and immediate data access. Arun navigates the issues of a warehouse-native approach, providing strategies for handling real-time data and minimizing compute charges. He cautions against seeing warehouse-native adoption as merely an escape from reverse ETL, emphasizing its potential to resolve existing martech problems and enhance functionalities. Arun encourages a positive attitude towards new, complex technologies, recognizing their transformative potential.About ArunArun is a data engineer by trade with over a decade of experience building and scaling systems in the startup ecosystemHe started his career in software engineering roles at Applied Materials, an enterprise semiconductor manufacturer and later MiQ, a programmatic advertising media partnerArun then joined Flipkart, known today as India’s largest e-commerce marketplace with a whopping 150 million customers He then moved to the startup world joining Hevo Data as one of the first tech hires, a No-code ETL Data Pipeline platform that enables companies to consolidate data from multiple softwareIn 2021, Arun moved to San Francisco to co-found his first startup, Castled Data - A warehouse-native customer engagement platform that sits directly on top of cloud data warehousesAlong with his team of founders Arun was selected by YC in the Winter 22 batchFrom Open Source Reverse ETL Tool to Warehouse Native CEPWhen asked about the transformational journey of Castled.io, Arun shed light on the genesis of the company's vision. It was a time when businesses wanted to move their data from warehouses to various tools, yet the market lacked the means to do this efficiently. Recognizing this gap, Arun embarked on the mission to develop an open source, reverse ETL solution. His concept was founded on the idea that no one-size-fits-all tool could cater to the wide range of companies' diverse requirements.This venture brought Castled.io a fair amount of traction, with many companies employing their open source solution in-house, and a growing clientele availing of their cloud-based offering. However, around this time, a critical analysis of the martech landscape provoked a pivot. Arun realized the long-term sustainability of reverse ETL solutions was questionable, especially with the burgeoning concept of warehouse-native apps. Other companies were beginning to develop their own reverse ETL tools.Arun observed that these ETL solutions were not truly designed for data teams but rather marketing growth teams, signaling a limitation in their scope. The need to constantly shift data to different platforms like Intercom was dwindling, given alternative and more efficient methods emerging in the martech ecosystem. In fact, he believed that the popularity of these reverse ETL solutions might begin to wane within a year.The most crucial feedback that inspired the transformation of Castled.io came directly from its target audience – the marketers. They indicated that a reverse ETL solution did not fully resolve their challenges, especially in scenarios where handling large amounts of data became a bottleneck for their existing tools. It became clear that simply copying data from warehouses to another tool wasn't an effective solution.Prompted by these revelations and the rising acceptance of the warehouse-native concept, Arun and his team decided to pivot. They transitioned from being an open-source reverse ETL tool provider to building Castled.io as a solution directly layered on top of data warehouses. This move allowed them to bypass data migration issues and directly cater to the marketers' needs.Takeaway: The journey of Castled.io highlights the importance of remaining adaptable and receptive to market changes and customer feedback. This awareness allowed the company to evolve from being an open-source reverse ETL tool to a robust, warehouse-native solution, directly addressing marketers' challenges. The company's pivot is a testament to strategic foresight and innovation in the martech space.The Similarities of Open vs Closed and Composable vs Packaged CDPsIn the fiery debate around composed versus packaged CDPs, Arun weighed in with his unique viewpoint. He likened the contrast between these two approaches to the difference between open source and closed source systems.From Arun's perspective, the appeal of composable CDPs lies in the flexibility they offer. This format enables innovation on top of the data warehouse, unlike the constraints potentially imposed by a packaged system. If something isn't quite right, with a composable CDP, you're able to add more tables, create more transformations, and even integrate external too

Summary: The future of CDPs, as envisioned by Tejas, is a more flexible, adaptable data architecture that Hightouch is actively shaping. Hightouch, even without the data collection component, is recognized by some of the largest companies in the world as their go-to CDP. Tejas stresses that the reconciliation of 'truth' in data between marketing and data teams isn't solely a tech or architecture problem; it requires an operational shift and closer collaboration between teams. The conversation serves as an essential guide for businesses seeking to optimize their data use and enhance customer experiences.The Software solutions like Hightouch provide a solid framework to tackle this, but the human element—teamwork, alignment, and communication—remains a key determinant in solving these challenges.From Corporate Travel to Reverse ETL: Teja's Journey Back to DataWhen asked about the journey of reverse ETL's inception at Hightouch, Teja revealed the interesting twists and turns of his entrepreneurial path. His initial venture after leaving Segment wasn't directly into the data sphere. He founded a startup, Carry, in the corporate travel space.However, Teja's departure from Segment wasn't just fueled by an entrepreneurial itch. He had reservations about the future trajectory of Customer Data Platforms (CDP). He didn't fully believe CDPs were set to become the standard for managing customer data across industries. With inklings of impending acquisitions and significant changes in the data industry, he left Segment.Teja then spent about eight to nine months with Carry until the onset of COVID-19. Despite the inherent challenges of the travel industry—low margins, high human operation requirements, price-sensitive customers—Carry was growing. Yet, COVID-19 brought it to a grinding halt.With business metrics falling to zero almost overnight, Teja and his co-founders, Auren and Josh, found an unexpected opportunity. They decided to pivot back to their roots in the data industry, tapping into their old ideas and experience from their Segment days. The pandemic, in all its harshness, became a catalyst for their return to the customer data space.Teja's story is far from a linear narrative. The travel venture, the COVID-19 pivot, and the return to the data industry all added unique layers to his entrepreneurial journey. Looking back, Teja feels gratitude for these unexpected turns of events, which led him back to the dynamic world of data and customer platforms.Takeaway: An entrepreneur's journey isn't always a straight path. Teja's experiences, from his departure from Segment to his foray into the travel industry and eventual return to data, highlight the unforeseen opportunities that can surface in the face of challenging times. His story underscores the importance of adaptability and leveraging past experiences to seize new opportunities in the ever-changing business landscape.Composable CDP - The Birth and Journey of a New ParadigmWhen asked about the emergence of the term "composable CDP" and the role Hightouch played in its inception, Tejas reminisced about the early days of this concept's birth. Tejas recalled collaborating with one of their esteemed partners to develop a novel way of approaching Customer Data Platforms (CDPs), distinct from the traditional models. Their goal was to define an architectural blueprint that would resonate with a marketing audience while providing a fresh solution to existing CDP challenges. The result was the "composable CDP."Despite its somewhat confusing nature, this term became a touchstone for their market positioning. But Tejas admitted, many terms in the martech world like "marketing cloud" or "engagement hub" often induce more head scratching than clarity. Their aim, however, was not merely to coin a catchy phrase but to address a pervasive dissatisfaction within the industry. At the time, many large enterprises and mid-market companies were investing heavily in CDPs, hoping to enable marketers to freely explore customer data, create audiences, and tailor customer journeys across all channels. Yet, despite the widespread adoption, most were finding little value in these investments. This stark discrepancy between aspiration and reality was the driving force behind Hightouch. The aim was not just to sell another CDP, but to propose an innovative approach that would enable marketers to leverage data more effectively across the organization. This approach advocated the utilization of the rich data sources already present in company warehouses, and activating it across various customer journey touchpoints. Tejas highlighted that the core value of a solution should not be whether it's bundled or unbundled, but rather, the tangible business outcomes it can drive. As companies invest in housing their data using various BI tools, from Microsoft Power BI to newer players like Looker, the potential to empower marketing teams with this wealth of data is tremendous. Solutions like Hightouch

What’s up everyone, today we’re joined by Kate Nowrouzi, VP of Deliverability at Mailgun by Sinch.Summary: Kate brilliantly dissected the complex realm of email marketing, highlighting the critical need for strategic decision-making and a meticulous, step-by-step approach to restore domain reputation. Drawing upon her unique shift from fighting spam to aiding marketers, she illuminated the nuanced layers of email deliverability. Reinforcing the superiority of genuine engagement over manufactured interactions, Kate underlined the importance of understanding audience needs, continuously refining strategies, and valuing quality over quantity. She also acknowledged the transformative potential of new technologies like BIMI, AMP, and machine learning, suggesting a forward-thinking approach for marketers willing to navigate the growing tech-driven competition.About KateKate started her career in network and anti-spam engineering roles at two major ISPs; Verizon and AOLShe then moved to the vendor side at Fishbowl, a Customer engagement platform for restaurant marketers where she led email deliverability operations Kate's profound experience in email deliverability then guided her to a pivotal role as the SVP of Deliverability and Email Compliance at SparkPost, one of the industry’s most popular email delivery platformsKate’s also been Co-Chair of the Complaint Feedback Loop Committee at theMessaging Anti Abuse Working GroupShe’s an Advisor and Investor for various startupsShe’s also an Advisory Board member of Persian Women in Tech, with a mission toclose the diversity and gender gap in STEMToday, Kate serves as the VP of Deliverability & Product Strategy at Sinch, a public Customer Communications company that acquired Mailgun 2 years agoHarnessing the Power of Insider Knowledge in Email MarketingIn a moment of reflection on her professional journey, Kate highlighted the value she gained from her tenure at AOL. She spent four vital years in the realm of anti-spam operations, an experience that she later brought to her roles at email service providers like SparkPost and Mailgun.Kate began her career in the early 2000s as an anti-spam engineer at AOL, at a time when email marketing was gaining momentum. AOL led the way by offering the first robust spam report option to their members, a trend quickly picked up by other industry titans like Microsoft and Yahoo. However, her transition from ISP to the marketing side or Email Service Providers (ESPs), required a significant shift in mindset.Working on the ISP side, Kate's primary focus had been on shielding members from malicious actors intent on infiltrating their inboxes. Yet, as she transitioned to the ESP environment, her role morphed. Now, she was aiding brands and marketers in ensuring their emails didn't raise spam red flags.This drastic change in problem sets and operational goals required some adaptation. Kate noted the initial challenges of transitioning from one end of the business to another. However, she affirmed that her experience on the ISP side provided invaluable insights that helped guide brands away from appearing spammy in their email marketing efforts.Takeaway: The shift from battling spammers to helping marketers get their emails into inboxes was a challenging, but enlightening journey for Kate. Her early career experience as an anti-spam engineer provided her with an insider’s understanding of what brands should avoid to not come across as spammy, proving to be an indispensable asset in her later roles at ESPs.Shifting Perspectives From Spam Prevention to Marketing DeliveryKate recalls an intriguing philosophical debate that arose during her tenure during her transition from an anti-spam role to an ESP environment. Having battled to block spam on one side and then striving to get marketing content into inboxes on the other, she found herself in a unique conundrum.A memorable instance arose when Kate moved from AOL to Fishbowl, an email marketing platform for restaurants. One night, she was roused from sleep by an urgent issue: a major client's birthday campaign was being blocked by AOL or Yahoo. The client was Red Robin, and the blocking of their campaign was considered a serious matter. Kate, however, found this jarring. Was it worth losing sleep over a blocked birthday campaign, when her previous role had conditioned her to respond to potentially harmful breaches of privacy?But as her colleagues stressed, the situation was indeed significant. Red Robin was a top-tier client and the success of their birthday campaign mattered. This incident served as a defining moment for Kate, reinforcing the fact that she was indeed on the other side of the business now, with a new set of priorities to consider.Takeaway: Kate’s anecdote about the Red Robin incident underlines the drastic shift in perspectives that can occur within the same industry. A blocked marketing campaign might not seem critical to someone from an anti-spam background, but in the wo

What’s up everyone, today we have the distinct honor of being joined by the Martech Landscape creator, the Author of Hacking Marketing, The Godfather of Martech himself, mister Scott Brinker.Summary: Scott sees AI as a power boost, not a replacement in marketing. He imagines marketers wielding AI to parse data and enhance specialist roles. AI's potential when combined with composability democratizes technical tool access, letting every marketer glean key insights from huge data. Yet, the human touch in martech is vital; marketing leaders need training and internalcommunication chops. Scott's future martech leaders are tech-savvy, eloquent communicators, guiding their teams through the constant evolution of the marketing landscape.About ScottThroughout his career, Scott’s navigated seamlessly between the realms of marketing and technologyHe put his first entrepreneurial mark in the martech world when he Co-founded ion interactive, a martech SaaS providing interactive content tools for marketersIn 2008, he began sharing industry insights on the Chief Marketing Technologist blog with the hope of serving as a resource to help spread the “marketing technology” memeA few years later, he released the first ever version of the Martech Landscape maps, back when there was only about 150 martech vendors He launched the esteemed MarTech conference in 2014 and remains its program chair to this dayToday he’s VP of Platform Ecosystem at HubSpot where he enhances their synergy with the broader marketing tech landscape, a landscape that maps over 11,000 vendors today He continues to be the acclaimed force behind chiefmartec.com, hailed universally as the martech world's ultimate wellspring of knowledge and insightHow Marketing Jobs Will Be Reshaped by AIScott firmly places himself in the camp that views AI not as a threat to marketing jobs but as a crucial tool for the modern marketer. He holds a strong belief that good marketing requires human input, and this won't be changing anytime soon. Scott reframes the common adage, often heard in marketing circles, that a marketer's job won't be replaced by AI but by another marketer who is adept at using AI.As tongue-in-cheek as this phrase might be, Scott sees a lot of truth in it. He views AI as a broad set of capabilities that can be harnessed in various ways to enhance marketing. While the initial applications, such as content generation, are undoubtedly intriguing, the real potential of AI in marketing goes beyond these use cases.Scott argues that the power of AI lies in how it allows marketers to better harness data, and enables more sophisticated automation across the entire marketing spectrum. Particularly on the Martech side of things, Scott anticipates marketing operations leaders and Martech professionals leveraging generative AI to up-level their stack and operational capabilities.Rather than viewing AI as a potential replacement for their roles, Scott suggests that marketers should see AI as a key part of their job description. It won't take over all aspects of their work, but it will become a significant component of what they do.Takeaway: The future of AI in marketing is not about replacement but about enhancement. AI is set to become a vital tool that will empower marketers to up-level their operational capabilities and harness data more effectively. As Scott astutely points out, the job of a marketer won't be replaced by AI; instead, it will be reshaped by those marketers who can successfully integrate AI into their strategies.Early-Stage Marketers Should Choose a Focus Area Then Utilize AIAccording to Scott, marketing has always offered a myriad of different specialties and that, arguably, has been amplified over the past 10 to 15 years. Yes, there's a role for the 'jack-of-all-trades' or marketing generalist. Still, as Scott astutely notes, there are also several specialized roles that marketers can pursue, each requiring a unique set of skills. Whether it's hosting a podcast or being a master in content creation, each specialization requires dedication and unique abilities.In terms of marketing operations, Scott suggests that this is another area of marketing requiring a specialized skill set. For those new to marketing, the challenge then becomes deciding whether to become a generalist marketing manager or specialize in a specific area. Scott believes that the generalist path, while rewarding, can be quite challenging because of its broad scope. On the other hand, specializing in a particular area, like content creation or marketing operations, can provide a focus. This concentration, according to Scott, not only enables you to become proficient in a specific aspect but also allows you to learn generalist capabilities, given that marketing is inherently a team sport.Scott's advice for those looking to utilize AI tools in their early marketing career is to choose a focus area, then learn and grow from there. While the field of marketing may appear vast, narrowi

What’s up everyone, today we’re joined by Pini Yakuel, a trailblazing entrepreneur and the dynamic CEO of Optimove, a company at the forefront of AI in marketing.Summary: Pioneering the intersection of AI and marketing, Pini Yakuel sheds light on the transformative potential and present limitations of AI in the creative process. With Optimove, the era of hyper-personalized marketing campaigns has been around for a while, encouraging early-stage marketers to embrace the uniquely human aspects of their craft. Pini's vision harmonizes human creativity and AI precision, reshaping marketing strategies through self-optimizing campaigns and introducing an innovative approach to email marketing metrics. Underneath it all, Optimove's CDP, powered by Snowflake, emphasizes the power of packaged marketing solutions and the critical role of intelligent data usage in a unified platform. As we unpack Optimove's cutting edge AI features and we navigate the dynamic landscape of AI in marketing, Pini's insights offer a valuable compass.About PiniFrom his early days as a university professor in Tel Aviv to the helm of Optimove, Pini's journey is marked by a relentless pursuit of innovationHe founded Optimove in 2009, pioneering the use of predictive analytics and machine learning in marketing, redefining the marketing standards in retail and gaming industriesUnder Pini's leadership, Optimove has morphed from a consultancy firm to a global SaaS company, serving 350 brands worldwide, with multiple offices and 220 employeesPini is celebrated for his transformative leadership and commitment to pushing the boundaries of marketing, embodying the forward-thinking spirit marketers should aspire toThe Evolution of AI in Marketing: A Perspective from PioneersPioneering AI marketer Pini has witnessed first-hand the transformative impact that AI, and specifically language models like GPT, have had on the world of marketing. His fascination isn't new; he's spent over a decade using AI to analyze customer data, setting trends rather than following them. Now, the advent of natural language processing (NLP) technologies is opening up new frontiers.Pini's fascination lies not only in the evolution of AI but also in the practical applications it can bring. Currently, GPT is sparking a lot of excitement in marketing, particularly in areas like copywriting and email marketing. Innovators are continuously finding creative ways to leverage GPT's capabilities, and Pini is no exception. He's eager to explore different ways to utilize GPT, from innovative marketing applications to shaking up traditional homework assignments in schools. Yes, you read that correctly. With AI's progress, school assignments as we know them might soon become a thing of the past.However, Pini also raises a note of caution amid the hype. There are bold claims out there about how AI will revolutionize industries, with some suggesting a handful of developers with OpenAI could outperform a traditional development team of a hundred. Predictions abound that marketers and designers could be entirely replaced, that professional photo shoots will cease to exist, and that human copywriting will become obsolete. But Pini isn't entirely sold on these extreme forecasts. He sees these as part of the hype cycle, where reality and expectations might not align perfectly.Despite the hype, Pini acknowledges that AI's advancements represent a significant step forward in AI capabilities, and it's this progress that fuels the current excitement. His prediction for the immediate future? A revolution in search engine technology, brought about by AI. He envisions a future where search engines provide deeper, more contextual responses to queries, effectively eliminating the need for multiple clicks or further reading. In Pini's eyes, this improved search experience will become a reality sooner than we might think.Takeaway: The rise of AI, especially in the realm of natural language processing, is transforming various sectors, including marketing. While it's essential to temper expectations amidst the hype, there's no denying the impact of AI's progress. For pioneers like Pini, the future of AI in marketing is about harnessing these capabilities in innovative ways. His immediate prediction? A revolution in search engine technology for a more efficient and rich user experience.The Potential and Limitations of AI in Marketing JobsA common question that arises whenever there's a breakthrough in technology like AI is: will it replace human jobs? For marketers, this question is at the forefront, given the recent rise of AI into mainstream conversation.Pini, however, sees the situation in a nuanced way, particularly when it comes to creative tasks such as design work. For instance, let's consider AI applications in the context of creating digital art or graphic design, like the type of work generated by DALL-E, OpenAI's art-producing AI. While AI has demonstrated its prowess in creating complex, comic-boo

Summary: Wyatt Bales served up an awesome episode, calling marketers to defend themselves with SQL proficiency amidst rising AI and automation. His vision? The future marketer as a 'full-stack' pro, tech-savvy and strategic, partnering with AI to steer marketing operations to be faster and more data-driven. Wyatt emphasizes maintaining a strong grasp on foundational skills alongside AI tools. In his projected future, consumers willingly opt into hyper-personalized, non-intrusive ads, reshaping advertising dynamics. His takeaway? The marketing landscape is becoming a less daunting journey, navigated by versatile, full-stack professionals who strike the perfect balance between tech and strategy.About WyattWyatt Bales, Chief Customer Officer at Bluprintx.Wyatt got his start as an analyst at Unilever where he got the knack for using Teradata systems and decided to go consulting for the vendors themselves. At Teradata, he implemented marketing automation and an analytics software for a few Fortune 100 customers.A few colleagues of his went over to a lesser known company called Marketo, where he started as employee # 201 He moved up to Solutions Architect where he focused on revenue attribution and was assigned to some of Marketo’s largest accounts such as Microsoft, Facebook and Philips66..3 years later, Wyatt took a Senior Marketing role at Uber where he eventually relocated to Amsterdam to lead their Enterprise CRM strategy team where he was the principal architect for Uber’s global roll-out of Marketo’s ecosystemAfter being a customer of Bluprintx while at Uber, he got the itch to get back into consulting and open a new Bluprint location in Amsterdam, where he led the European consulting practiceToday Wyatt manages the global P&L and a team of 85 Bluprint consultants and engineersThe Silent Struggle: Marketing Headcount vs Technology IntegrationWyatt begins by addressing a crucial, yet often overlooked issue in the realm of marketing technology: the ongoing tension between maintaining adequate team size and implementing advanced technology. While discussions about the shiny new tech and exciting innovations typically dominate the conversation, he emphasizes that the human aspect, specifically the team size, can get sidelined.Reflecting on his extensive experience, Wyatt recalls numerous instances where businesses grappled with this reality. Often, they found themselves constrained by their inability to grow their teams to match their objectives. "I don't have enough people to do that," a common lament, resonates across various companies he has engaged with. This constant struggle to secure sufficient headcount is a reality that many marketing teams face. But, why is this the case?Wyatt points to a counterintuitive relationship between technological progress and team size. As businesses lean more heavily into automation and AI, there's a growing belief that these advancements can replace the need for large teams. This phenomenon is particularly noticeable in the enterprise space, where headcount tends to remain stagnant, even as marketing technology gets introduced at an accelerating rate.One might be quick to laud this as a victory for efficiency. However, Wyatt prompts us to consider the other side of the coin: What are the implications of this move towards automation and its impact on team size? Are we heading towards a future where automation overtakes human creativity and effort in marketing? And if so, what are the implications for those who've made their careers in this space?Takeaway: Wyatt's reflection presents a compelling portrait of the struggle within the marketing world. The tug of war between advancing technology and the need for human intellect exposes a significant challenge faced by many companies today. As we move further into the realm of AI and automation, businesses must grapple with the question: How do we strike the balance between leveraging cutting-edge technology and preserving the invaluable human element that drives creativity and innovation?Becoming Future-Proof: The Power of SQL SkillsWith the growing concern about AI potentially replacing entry-level jobs in marketing, Wyatt offers a lifeline: learning SQL. This piece of advice is significant in an era where anxiety about job prospects, particularly among soon-to-be graduates, is increasingly prevalent. Wyatt provides reassurance, suggesting that mastering SQL can equip individuals with a skill that's in high demand and potentially immune to the trend of job automation.For those unfamiliar, SQL (Structured Query Language) is a programming language used for managing and manipulating databases. It's a valuable skill across various marketing roles, including strategy, market operations, and analytics. And according to Wyatt, this skill can act as a powerful tool for carving out one's career path, regardless of the turns the industry might take.As companies continue to leverage data to inform their strategies, the role of data a

What’s up folks, today we’re joined by Aliaksandra Lamachenka, Marketing Technology Consultant and Nonprofit founder.Summary: Aliaksandra takes us on a journey through the evolving AI landscape in marketing, promising a future shaped by deep human expertise and broad understanding, all areas where AI is still playing catch up. The episode is ripe with insights about the rise of hybrid, business-savvy data product managers, who are subtly revolutionizing martech by marrying marketing perspectives with innovative thinking. They are unearthing overlooked insights, much like Duolingo, which leveraged data science to redefine its target metrics and boost its DAU. Amidst the din of the composable vs packaged CDPs debate, Aliaksandra brings our attention back to the basics - the crucial need for quality, traceable data. This illuminates the pivotal role of open data hubs, which could unlock the next chapter in efficient data management and utilization. Meanwhile, vendors of composable data platforms face a crossroads: will they expand to cater to growing customer needs or hold fast to their roots? Their decision could very well shape the future of martech, steering its course towards either the democratization of data or maintenance of the status quo.About AliaksandraBorn in Belarus, Aliaksandra got her start in gaming and SaaS startups in product marketing rolesIn 2017 she became Head of Marketing at SplitMetrics, a team of experts building the future of mobile marketing toolsShe then moved to the UK to lead a product marketing team at Skyscanner, the popular flight comparison site where she focused on app growth and martechIn 2021, she joined Depop as Marketing Technology Lead where she owned compliance management, multi-touch attribution and much moreSince then she’s partnered with various companies as a Marketing Technology and Growth advisor, including the popular female health app– FloIn April of last year, Aliaksandra co-founded Leleka Art, an online nonprofit marketplace that allows you to buy artwork made by children from Ukraine built on top of a custom money transfer system Today, she’s scaled Leleka to a team of 30+ volunteers, +5k sellers and 15k works of art helping children and their families make over 30kThe Organic Evolution of AI in Marketing and Lessons from Architectural HistoryAliaksandra takes a particularly compelling approach to understanding the potential role of AI in marketing. Drawing a unique analogy from the records of Japanese architectural history, she paints a picture of how AI's integration could be less of a disruptive force, but rather an organic and gradual process.Following the Second World War, a group of young Japanese architects refused to view architecture as merely a functional tool. They envisioned buildings as living organisms, an idea that later came to be known as "Japanese metabolism." These architects designed structures with a central spine, to which they could add or subtract modular capsules as needed. At the time, their ideas were regarded as revolutionary, indicative of what the future would undoubtedly hold.Decades later, their concepts have not been realized in their envisioned form, mainly being used for storage purposes, yet they have certainly left an indelible mark. The idea of high modularity, the foundational spine with small attachable elements, is now visible in various facets of our lives. You can observe it in modular housing, landscape-integrated buildings, and even in the functionality of platforms like Pandora, Tesla, or the App Store.Aliaksandra sees AI's trajectory in a similar light. Like the revolutionary architectural concepts of the past, AI's ideas may appear bold and groundbreaking. However, their integration will likely be more gradual than anticipated, quietly shaping our future. Much like the world adapted to the concepts of modularity, so too will it adapt to AI.Just as we accept modular buildings as a natural part of our world today, in 20 or 50 years, AI's presence in marketing will feel just as natural and intrinsic. AI won't displace marketers overnight but will instead weave itself into the fabric of the profession organically.Takeaway: The progression of AI in marketing is not likely to be a sudden, disruptive force. Instead, as Aliaksandra's rich analogy suggests, AI will bring about a natural evolution in the field, slowly but surely shaping its future.AI and the Future of Early-Stage Marketing Careers, Depth, Breadth, and GeneralismOne of Aliaksandra’s key points is the future value of professionals who can operate at the intersection of different industries or specialties. In a world where the boundaries between industries are blurring, being an expert in more than one field could be a significant advantage. For instance, understanding both engineering and marketing, or medicine and business, can provide a broader perspective and unique insights. In the future job market, the collision of different worlds could be the breedi

What’s up everyone, today we have the pleasure of chatting with the profoundly eloquent Juan Mendoza.Summary: Juan unpacks the unique journey of OpenAI, underscoring the importance of distinguishing between tech hype and real value. As AI intertwines with our lives, Juan highlights the delicate dance of harnessing its efficiency while preserving human creativity. He calls for a critical balance in using AI as a creative aid without stunting our own creative prowess. Amid the benefits, Juan also raises crucial questions about trust and privacy, advocating for marketers to use AI responsibly. Ultimately, this episode reaffirms the need to thoughtfully navigate AI’s limitless potential while upholding our fundamental human values and ethics.About JuanJuan is based in Melbourne, Australia where he got his start in various roles including startup marketing, martech strategy and conversion rate optimization. He spent 4 years at The Lumery, a premier Martech consulting shop where he worked on customer centric strategies across various channels.In 2020, he started the Martech Weekly, a newsletter covering where the industry is going and why.He’s also the host of the Making Sense of Martech podcast, an extension of his newsletterOne podcast and a newsletter isn’t enough for Juan though, in 2022 he teamed up with Scott Brinker and started the Big Martech show covering big news and big ideas in Martech4 months after launching a premium subscription and growing his newsletter to thousands of martech pros over 65 countries, Juan decided to go full-time on TMW Recently he announced TMW 100 – a global Martech awards event ranking the most innovative marketing technology companies from 1st to 100th placeThe OpenAI Approach: Laser-Focus and High-Quality Language ModelsJuan underscored the significance of OpenAI’s niche focus and dedication to developing large-scale language models. Unlike big tech giants—Google, Amazon, Meta and others—who spread their resources and attention over various types of AI technologies, OpenAI chose a distinct path. They concentrated all their efforts on building transformative generative models like GPT-3 and GPT-4, which set the groundwork for the success of ChatGPT.Juan suggested that OpenAI’s edge lies in their extreme focus, patience, and funding. Established as a Silicon Valley tech company, OpenAI was backed by tech tycoons like Elon Musk and Microsoft, as well as some of the world’s largest venture capital firms. However, OpenAI’s goal differed. They weren’t trying to distribute AI across various services and products. Instead, they strived to create something unique and powerful—a tool that could manipulate language with an unprecedented level of precision.Juan further highlighted how OpenAI’s technology feels “magical” compared to competitors. For instance, Google’s BERT, although an impressive model, doesn’t meet the same level of accuracy as ChatGPT. Moreover, it ‘hallucinates’—generates incorrect or nonsensical outputs—significantly more often than ChatGPT.Juan also reminded us of the chatbot craze of 2016, which, despite the hype, resulted in less-than-stellar customer experiences. Fast forward to today, the launch of GPT-based models has reinvigorated the chatbot space, breathing new life into the industry. The key difference? An AI agent that can actually provide intelligent, useful responses.Takeaway: OpenAI’s specific concentration on creating large, high-quality language models, backed by extreme patience and funding, was pivotal in their success story. Their dedication to a niche allowed them to develop an AI that is more accurate and less likely to hallucinate than its competitors. This focus transformed the realm of chat interfaces, redefining the future of AI agents and encouraging a fresh wave of startups to build on this advanced technology.The Adoption Race: Comparing ChatGPT and Snapchat’s AI Tools Juan’s analysis of the rapid spread of ChatGPT brought fascinating insights. He cited how ChatGPT became one of the fastest-growing apps globally, reaching a million users in merely five days. This impressive rate outpaced even Instagram and TikTok’s growth, both of which took weeks to months to reach the same number of users. He attributed this meteoric rise to the simple yet brilliant user experience, which only required users to create an account and start chatting.However, Juan posed an interesting counter-argument, comparing ChatGPT’s growth with the newly launched AI tool by Snapchat—Snap AI. Despite being on the market for only two months, Snap AI already boasts 125 million users and over 10 billion messages sent. It reached 100 million users faster than ChatGPT, achieving the feat in just two months compared to ChatGPT’s four to five months.Juan speculated on the factors driving Snap AI’s rapid growth, posing two possibilities. One might be the timing—Snap AI could be riding the wave of excitement and acceptance generated by GPT-based technology. Another potential fac

What’s up folks, today we’re extremely privileged to be joined by Boris Jabes, the Co-Founder & CEO at Census.Boris is originally from Ottawa, Canada where he went on to study Computer Science at the University of Waterloo He got his start at Microsoft where he spent 7 years in various Program Manager roles leading C++ and 3D graphics for Visual StudioHe then moved to SanFrancisco to co-found a password manager tool called Meldium, backed by Y Combinator In 2014 he sold the startup to LogMeIn where he became a Senior Director for a year and a half – before jumping into Angel Investing in which he took part in startups like Canvas, Endgame, Lambda and ReflectIn 2018, Boris Co-founded Census where he’s also CEO today.Census is a reverse ETL tool that allows marketers to activate customer data from their data warehouse Boris is also a podcaster, in 2021 he and his team launched The Sequel Show which counts over 30 episodes with some of the smartest minds in data and is one of the greatest resources to help marketers bridge the gap with data teamsThe Thread Connecting Password Management and Reverse ETLBoris's first venture was into password management, but it wasn't out of love for passwords. It stemmed from a frustration with the scattered nature of employee identities across numerous apps. Each login seemed to represent a different version of oneself. The solution? A first-of-its-kind enterprise-grade password management tool designed for teams, aimed at streamlining the login process for any office application.Boris describes this as a quest to create a federated version of oneself - a concept known as Single Sign-On (SSO). Behind the tech jargon, the aim was simple: to make people's lives easier by reducing the friction caused by hundreds of passwords.His journey then led to Census, a reverse ETL venture. Again, the core issue was fragmented identities, but this time, it was the customers' identities in question. Why were these identities inconsistent across different divisions within a company?Just as with the password management venture, Boris saw the need for a central place from which customer identities could be federated. He was addressing the same problem but from a different angle.Boris's focus has always been on alleviating the pain points created by disparate data. From password management to reverse ETL, he continually seeks to resolve identity disparities, a testament to the power of innovation that lies at the intersection of distinct yet interconnected problems.Experiencing the Pain Point Firsthand: The Genesis of CensusIt was when Boris's first startup was acquired that he truly felt the problem Census would later solve. Joining forces with LogMeIn, a larger company with a keen interest in their software and user base, illuminated a stark issue. The marketers and salespeople at LogMeIn wanted to engage with the users and cross-sell the software, but they struggled. The key issue? They didn't seem to have a clear understanding of what the users were doing.Despite the availability of tools to connect data, none seemed to coalesce the company around a single version of reality. The tools used by marketers were different from those used by salespeople. These fragmented solutions failed to bring everyone onto the same page, especially considering that product behavior was becoming an increasingly important driver.The seed for Census was thus sown. Boris and his team envisioned a solution that would work at scale, bridging the gap between different divisions and providing a unified view of customer data. The challenge was technical, but the ultimate goal went beyond that. They aimed to empower various stakeholders – marketers, salespeople, product teams, finance – to take action based on reliable, trustworthy data.Census was born out of the need to solve a real problem – to provide a single version of truth that would allow different divisions within a company to understand and act upon user behavior efficiently and effectively. This venture underlines Boris's ability to observe, understand, and respond to the intricate problems arising from fragmented data, paving the way for more streamlined operations and decision-making within organizations.Unraveling the Concept of the Packaged Customer Data PlatformAs we delve deeper into the realm of martech, there's no escaping the maze of terminology and definitions, especially when it comes to the concept of the Customer Data Platform (CDP). From a distance, it might seem like yet another acronym tossed into the complex landscape, but understanding it is essential.In Boris's view, the packaged CDP (or pack CDP) is a lineage of software specifically designed with marketers in mind, most often serving B2C companies (at least initially). But what does it really do? It performs three critical functions:It helps collect events from your website and applications.It serves as a source of truth for that data specifically for the marketing team.It enables the

In our latest episode, we're thrilled to feature Dan Balcauski, Founder of Product Tranquility, as we navigate the world of SaaS pricing models.About Dan BalcauskiStarted his career in product management at National Instruments, based in Austin, Texas.Ascended to the role of Product Strategy Principal at SolarWinds, a SaaS company serving DevOps and IT professionals.Made a significant shift to B2C, leading product at LawnStarter Lawn Care.Boasted a successful freelance career as a product manager, earning a place in the top 3% of PM professionals worldwide on Toptal.Imparts his industry knowledge as a program leader at Northwestern University, where he teaches product strategy.In 2019, Balcauski launched Product Tranquility, a venture dedicated to assisting B2B SaaS CEOs in defining pricing and packaging for their products.A Personal AdventureWhat sets Balcauski apart is his remarkable spirit of adventure. Before starting Product Tranquility, he embarked on a personal voyage as an independent travel consultant, planning and undertaking a global expedition through 21 countries. This extraordinary journey demonstrated his fervor for continuous learning, during which he acquired new skills ranging from digital marketing and Spanish proficiency to kiteboarding and Argentine Tango.Join us as we dive deep into the insights and stories Balcauski brings to the table.Value-Based PricingIn our engaging chat, Dan Balcauski brought up some crucial insights regarding the struggles businesses often face while setting up pricing in the SaaS industry. There's often a lack of structure, leading to heated debates rather than an organized approach. To combat this, Balcauski introduces the 'Services' model.Key Challenges in Pricing:An unclear target customer profile: Companies often struggle to understand exactly who they are serving.Poor understanding of how they create customer value: Businesses might be unclear on the unique value they deliver to their customers.Unclear product differentiation: Companies often grapple with distinguishing their products from others in the market.Underappreciation for the depth of decisions in pricing and packaging: Many overlook the vast array of factors impacting pricing, focusing only on surface-level elements.The 'Services' Model:The 'Services' model stands for Segments, Value, Competition, and Strategy, and was designed to address these challenges.Segments: Understand the specific context and constraints of your customer segments, as they dictate what they value most.Value: Recognize how each segment perceives value and rank orders value drivers, influencing how they value your product.Competition: Be aware of the competitive alternatives each segment has available. What would they use if your product didn't exist?Strategy: This comes in the Michael Porter sense of the word. Strategy involves trade-offs; you can't be everything to everyone. Decide who you're going to target, how you position yourselves in their minds, and how you'll balance the different elements of SaaS packaging. This includes price metrics, price models, offer configurations, etc.The combination of these four components informs the price level you set, helping your business achieve its objectives. The 'Services' model ensures a more thoughtful, strategic approach to pricing, moving away from arbitrary decisions.What is value based pricing? Dan Balcauski clarified the concept of value-based pricing and distinguished it from other terms like value metrics and price metrics.Value-Based PricingValue-based pricing, at its core, concerns how value is divided between buyer and seller in a transaction. This notion dates back to Adam Smith and the concept of trade, where specialization and trading lead to overall improvements for everyone involved.“...goes all the way back to Adam Smith with trade, right, you've got the butcher, the baker, and the candlestick maker, they don't all try to, you know, bake their own bread and cut their own meat, etc. Because it's better if we all specialize, we're all better off if we specialize in trade, right.” - Dan Balcauski Value Metric vs. Price MetricValue Metric: Using a 'Jobs to be Done' framework, the value metric is how customers measure the effectiveness of your product in achieving their specific outcomes. These outcomes could be economic (saving time, decreasing costs, increasing revenue), emotional (reducing anxiety, boosting status), or social (contributing to causes like climate change, equal rights, education, health care).Price Metric: While value metrics focus on the customer, price metrics focus on the product. The price metric is the unit of value for which the customer is charged concerning the product (e.g., number of users, API transactions, gigabytes of data transferred, etc.). Ideally, the value metric and price metric should be correlated, meaning that the way customers derive value from your product should inform the units by which you charge.Outcome-Based PricingThe

What’s up everyone, today we have the pleasure of chatting with Mike Rizzo, you’ll be hard pressed to find someone who’s done as much for the marketing Ops community.He got his start in marketing at California-based tech startups and eventually worked in b2b SaaS where he got his hands dirty in several martech toolsIn 2017, he founded MO Pros, a Slack channel dedicated to connecting with Marketing Operations ProfessionalsMike also took a short turn in the agency world where he was Director of Marketing Strategy for Client Accounts at Human, Orange County’s full-service Inbound Marketing Agency He then returned in-house and boomeranged back to one of his earliest startups to lead Community and Loyalty programsHe’s also the co-host of Ops Cast by MO Pros, a podcast for Marketing Ops Pros by Marketing Ops ProsLast year, Mike double down on the community he started and launched MarketingOps.com taking a community-led approach to building career resources that are purpose-built for MO ProsToday, his community counts more than 4,000 martech professionals and is one of the few communities I frequent on a daily basisMike, excited to have you on, not sure why it’s taken this long to chat with you.MO ProsRecently you shared that you don’t take any payroll from MarketingOps(.)com despite all the costs and time you pour into this venture. I was kind of shocked by this honestly. This isn’t just a podcast that you’re spending a few hours on every week. I imagine quite a bit more work and a lot more tech. Can you shine a light on everything that is MO Pros these days and is the revenue you are generating from it just re-invested into the community and paying your costs? What’s stopping you from going all-in on this project?"No Bullsh*t Demo" programI think one of the things that sets your community apart from both a user but also a sponsor/brand perspective is your "No Bullsh*t Demo" program. I’ve sat in on a few of these and for martech companies selling to marketers, this is one of the best ways to reach your ICP.Walk us through how you got this idea and if you’re seeing this more in other communities?MOPS-APALOOZA https://marketingops.com/mopsapalooza23/ You’ve got a big conference coming up in Nov later this year featuring big name speakers like Scott Brinker (Chiefmartec) and Juan Mendoza (TMW). I’d love to hear the story behind creating an in person event and how you went about it and getting big name speakers?I’ll give you the floor to pitch the conference to the audience. Why is this going to be different from other events we’ve been to? You know those events that cost a pretty penny only to get disappointed by talks and come back to your company with little insights and a few new business cards.What’s a certified marketing ops pro?Recently you ranted about take-home assignments in interview rounds and asked the community how we might find ways to prove the skills we have in MOps AHEAD of our next interview. You got a lot of interesting comments on your post. One thing I was surprised that no one commented about is how wildly different the role of MOps is at a startup as a 1 person MOPs team doing everything under the sun vs. at a big 50+ MOps team at a massive enterprise company. I’ve seen this first hand. Different skills and different types of humans… maybe there’s a cert for startup/smb/enterprise marketing ops proBased on the feedback you got, what’s your current thoughts on this, what’s a certified marketing ops pro?AI not replacing any marketers any time soonWe can’t get through a podcast these days without talking about something that’s on everyone’s minds, even if some of us have muted all those AI tech bros on Twitter… I don’t think you’d describe yourself as an AI critic or detractor but you’ve said in a few places that you don’t think AI will be replacing any marketing jobs any time soon.I think the key thing here is that you’re using the term “anytime soon” haha… that could be 3 months like it could be 5 years so you’re saving yourself from potential ridicule by not giving a fixed definition on your time horizon.But maybe we can spend a bit of time here because this is something we don’t totally agree on.AI not replacing community-focused rolesIn our 4 part series on AI, we had a deep dive into how to prepare and future proof your career, potentially exploring new areas of marketing that will be less likely to be impacted. One of those is community-focused roles, which you obviously know a thing or two about.What advice would you have for listeners who don’t have any or little experience with community and events to get some experience and potentially explore this area of speciality?Immersive, personalized events of the futureWe’re big sci-fi fans here on the podcast and love thinking about the speculative future. What are some of the areas that excite you the most about the future of community-led marketing? One that’s thrown around a lot – and likely only going to get even crazier with Apple’s Visio

What’s up folks, today we have a super fun conversation with Pratik Desai, Founder and Chief Architect at 1to1.Pratik’s a Rocket Scientist turned Martech personalization expertHe’s armed with a bachelor’s from Rutgers in Aerospace and Mechanical EngineeringHe got his start at Accenture in Technology Consulting and later J&J in consumer apps as a digital product managerHe later took a deep dive into Martech when he became Lead product manager at PVH focused on Salesforce Marketing productsThis led him to spend 3 years at Salesforce where he worked his way up to Personalization Practice Lead (Head of Delivery Services for Personalization)Most recently, Pratik started his own agency called 1to1 to focus on personalization strategy and implementation He also runs a weekly AI Discussion Group to help folks keep up with the fast changing landscape of Curation and Generative AIHe’s a well traveled, trivia loving full stack developerPratik, pumped to chat with you today, thanks for your time!From Aerospace and Sci-fi to martech and personalization Pratik, you have a degree in Aerospace and Mechanical Engineering as well as your pilot license, is this all a backup plan for AI takeover and you naturally shift to space exploration and interplanetary marketing? 😆Pratik’s answer: Aerospace industry wasn’t as mainstream when I graduated and the lucrative Aerospace jobs were in defense. I struggled to see myself going down that route and…Accenture does a damn good job of recruiting engineers out of RutgersLuck is taking the opportunities as they present themselves….which really just set the tone for my career for the next 10 yearsThe pilot's license came after! After a few years of working in technology, I started to miss the thrills of aviation and decided to get a private pilot's license. The feeling of freedom you get when you start traveling is exponentially increased when you actually fly yourself there! What does aerospace and martech have in common? In preparation to transition to my next question we asked ChatGPT what martech and aerospace have in common, it said. Data-driven decision making: In both cases, the ability to collect, analyze, and make decisions based on data is critical.Technological advancements and innovation, specifically use of simulation and modeling tools: Both fields need to stay at the cutting edge of technology to be effective. Problem-solving and customer-centric approach: Both fields involve solving complex problems while keeping the user in mind. Integration: Whether it’s engines, avionics, control systems or landing gear or if it’s CRMs, CMSs, CDPs and MAPs… Both aerospace and martech involve the integration of multiple systems and components.Which one would you pick?Pratik’s answer: Studying engineering definitely sets you up for success in so many different industries. The problem-solving coupled with the data-centric decision making puts you on a path that really helps you excelBut the biggest parallel to getting things right would be integrations. In Aerospace Engineering, there are SO many systems that have to work together and if they don’t, the outcomes could be catastrophic. I can’t tell you the amount of MarTech implementations that I’ve been apart of where integrations don’t get enough love, for various reasons:The source or destination system is owned by a team that wasn’t informed of the transformationThe IT team has conflicting prioritiesETL transfers are easier, so we’ll start there - and it just never becomes priority to make things real-timeEtc Science fictionWe’re huge fans of science fiction on the podcast, so I’d be remiss not to take a short turn here. I made a big assumption here but based on your field of study I guessed that you are a sci-fi fan… I’d love to get your list of favorite science fiction books or movies but more importantly I’d love your take on the speculative future of personalization and what that looks like according to Pratik?I recently read All Our Wrong Todays by Elan Mastai and in one of his alternate future timelines he describes a world where advertising isn’t just 1to1, it’s also tailored based on your mood that day, what you had for breakfast, events on your calendar next week. The protagonist’s big idea is to offer consumers a flat fee to opt out of ads completely, but it’s a big flop. In that world, consumers actually wanted hyper tailored ads.Pratik’s answer: First, I absolutely LOVE time travel stories. I think we, as a society, have learned so much about how the physical world works - it’s fascinating to see how movies/books start to build out the rules for things we don’t understand. With time travel, time dilation is a starting point - but then you’re really free to start building your own rules. Are we in a multiverse? A fixed timeline? A dynamic timeline? Some of my favorites in how they build out the rules and create logical consistencies: Primer, InterstellarThat being said, I TRULY agree that consumers crave hyper-personaliz

Today, we are diving deep into a topic that's pertinent in our fast-paced, hyper-connected world… no not AI, taking a break from that haha - Talking about escapism, and the importance of disconnecting from work. On the show we like to balance the hard martech topics but also the human angle. This is an episode that feels quite timely. In a time where being 'always-on' is the norm, and our work Slack is just a ping away, it's crucial to understand the significance of stepping back. Escapism isn't just about dodging reality or ignoring responsibilities; it's about giving our minds the necessary break to recharge and rejuvenate. I’m a big fan of fiction and love sharing top TV show and book picks and always wanted to find an excuse to do this on the podcast so what better way to do it then an episode about the benefits of escapism and detaching from work. So stay tuned later in the episode for my fav TV shows and books.Here’s today’s main takeaway: When used properly, escapism through fictional narratives is an essential aspect of maintaining our mental health, enhancing our overall creativity and helping us become better humans. The irony of recording this episode on the weekend isn’t lost on me, but this is my hobby and we’re having our best month ever on the podcast so I wanted to keep the momentum going and continue giving JT a bit of a break. Here’s a quick outline of what I’ll cover today:Definitions, what is escapism, what is healthy, escapism and what’s the difference between meditationThe importance of disconnecting from work and how to successfully do thisWhat happens to your brain when you indulge in fictional narratives Strategies for healthy escapismMy top TV shows and my top booksHow to strike a balance and avoid over-reliance I’ll start off by confessing that I didn’t always think this (that escapism is an essential aspect of maintaining our mental health and enhancing our creativity). In my younger career, I fully embodied the idea that an hour spent on learning things that can’t help your career is an hour wasted. If I read a book, it was about business or marketing.If I was listening to a podcast, it was about marketing automation.If I was reading a blog or a newsletter, it was about martech.If I was watching Youtube videos it was Photoshop tutorials.While this is great and likely contributed to increased performance at work, it didn’t give my brain the break it needed to disconnect from work topics.Movies and TV shows were the exception though. If I watched a movie it was sometimes a documentary about consumerism or psychology but movies were where I got my main dose of fiction. I grew up an avid movie buff and watched all the classics and most of IMDB’s top 250 movies of all time. I didn’t grow up in a household with workaholic parents but they did love their work. My dad, specifically a photographer and video editor, spent a lot of his down time watching youtube videos and tutorials following industry tech and other photographers. He’s definitely a source for instilling this growth mindset in me. But what he also did was read a lot of books. Some non fiction biographies, but lots, lots of fiction. John Sandford, Ian Rankin, Peter James. I guess it kind of instilled this idea that you can be amazing at your craft, but still indulge in fiction.I’ve had several jobs that you could describe as high expectation, high pressure. I remember when the shift to remote work began a few years back. Working from home was initially exciting. No commuting, being in the comfort of my own space, it sounded amazing. But soon, the boundaries between my work life and personal life began to fade. My home was my office, and my office was my home. I found myself answering Slack messages on the couch and at dinner time and checking email campaign reports late into the night.The expectation to almost always be online to answer questions for teammates that work in different time zones was real. Reflecting back, my health took a hit, my personal relationships suffered and my anxiety grew.Some days were always more stressful than others, but I think aside from learning to build boundaries and deleting Slack on my phone, one of my coping mechanisms and what inspired my ability to separate work from home was the ability to disconnect, mainly through fiction.DefinitionsI should’ve started with this disclaimer, I’m not a psychologist or a counselor. I do work for a startup conquering addiction that employs a large group of clinicians and counselors, but I’m not an expert. I’m not saying, watching movies and reading books and ignoring your life responsibilities is the key to managing stress. It’s worth unpacking the positive and negative lights of escapism. Let’s start with defining the concept of escapism. What is escapism?The common definition of escapism is a psychological concept where a person distances themselves from the realities of life, often as a coping mechanism to alleviate stress. This disengagement from real

What’s up folks, today we’re joined by Bobby Tichy, he’s Co-Founder and Chief Solutions Officer at Stitch. Bobby’s a highly respected Martech veteran having spent over a decade working in technical roles for some of the biggest names in martech:He spent a combined 6.5 years working on the Professional services teams at arguably 2 of the most well known companies in martech, Salesforce and Marketo where he was able to lead and support countless implementation projects for some of the biggest brands in the world.At Salesforce he focused on Marketing Cloud technical and functional architecture. At Marketo he focused on project and program management.In 2016, he left the in-house world and jumped to the agency side of martech working at Lev (a premier Salesforce consultancy) for 6+ years where he focused on Marketing and Enterprise architecture solutions. He also co-founded the In the Clouds Podcast, a show about Salesforce Marketing Cloud.Last year, after Lev was acquired by Cognizant, he co-founded Stitch leading their solutions team. Stitch is a new martech consultancy that specializes in Segment and Braze tech stacks.Bobby’s an expert in all things marketing technology architecture, customer data platforms, customer journeys and Dachshund dogs as the proud dog dad of 3. Bobby, welcome to the show, pumped to chat today.In-house vs agencyI’d love to start by getting your take on agency vs in-house, pros and cons and maybe get the inside scoop on going from SF to arch-nemesis Marketo a few years ago?I think the, the easiest way to think about agency versus in-house is when I was at Salesforce and Marketo, you’re really just focused on the specific problem as it relates to the technology. So that might be implementing, you know, Salesforce, Marketing Cloud or implementing Marketo for a particular customer. But when we’re on the consulting side or the consultancy side, you’re really more focused on that customer. So what problem are we trying to solve? It’s much more about business problems and outcomes than it is technology problems and outcomes.That’s probably the best way to think about it. Or at least the the biggest delineation that I’ve seen over the years, which the consulting side is so much more fun and so much more complex. It has each has its own challenges.On the SF to Marketo switch, I think I I was so naive at that point I had no clue that it was like moving to their arch nemesis. Now it would be like going from Braze to Iterable or you know something along those lines. And it was interesting because I even remember at the time, once I got to Marketo, there were all these kind of rumblings. You never know if they were founded or not. But you know when Exact Target got acquired by Salesforce, was it, you know, who are the other bidders? And I don’t know if you ever listened to the Acquired Podcast, but there’s an episode of Acquired on Exact Target and Scott Dorsey goes through like that whole process. Which is pretty neat. And then he mentions the SEC filings, they actually have to disclose, they don’t disclose the actual companies, but you can kind of deduce who the other bidders were. It’s kind of neat to go through.But anyway when I got to Marketo, there was like all this conversation about Salesforce because the Salesforce and Marketo integration (at the time) was market leading as far as market automation platforms were concerned and the Exact Target and Salesforce integration was not all that great at the time. Now obviously that’s totally flipped, but at the time it was interesting because I remember my first two projects on Marketo and Salesforce, I would kind of throw Exact Target under the bus a little bit with the horrible integration they had with Salesforce even though they were part of the same company. But I I had no idea to your point kind of like the political elements of my switch at the time.Switching platform expertise, from SFMC to Marketo to BrazeSo you went from SFMC to Marketo before going back to a SFMC focused agency but now you’ve left both platforms and at Stitch you guys focus on Segment + Braze. Did you play around with Braze before joining?(At Lev) we had a couple of large enterprise media entertainment customers that were leveraging both Salesforce Marketing Cloud and Braze and so they would use SFMC for journey orchestration and e-mail and then Braze for mobile because it’s the mobile capabilities were so much better. The UI is a little bit better too, especially for marketers. And so that was our first introduction to that platform and then as as we were leaving Lev and trying to figure out what we were going to do next.Everyone that we talked to, people from Movable Inc, people from Salesforce, you know sales leaders there and other people in the Martech ecosystem, all of them were saying like Braze was really where a lot of the marketers were going because it combined a lot of what we all loved about Martech, which was the advanced use cases, the power of the dat

What’s up everyone,If you haven’t checked out our previous 3 episodes in our AI series you might want to before this episode, we give you a lot of context around some of the events that have happened and will shape the conversation today.So basicallyHow fast could AI change or replace marketing jobs?How marketers can stay informed and become AI fluentExploring new paths to future-proof your marketing career in the age of AIToday we’re diving into specific tools… there’s a lot of noise out there right now.What tools you should play around withIn TMW #107 | ChatGPT and the artificial marketer, Juan Mendoza explains that“...generative AI tools are already everywhere. From text generation to video and audio production, to image creation, there’s a thriving industry of technologies taking small slices out of our creative talents, packaging them up, and selling them as a SaaS product on a recurring revenue model. If you’re wanting to stay relevant five years from now in the marketing technology industry, you’re probably going to have to learn some of these platforms. In 2010 we used to say: “there’s an app for that”. In 2023, we will be saying: “there’s an AI for that.””OutlineHere are some of the topics for this third AI episode:Key AI technology definitions and how to differentiate real AI tools vs all the noise out thereDeep dive into toolsContent marketing toolsEmail and marketing automation toolsPredictive analytics toolsText to presentation and pitch deck tools3D animation tools for product marketersSales and outreach toolsText to website creator toolsAd and social creative toolsAutoGPT and AI agentsAnd a bunch of other tools like conversational search engines, 1-1 convos with celebrities and an even longer list of honorable mentions Here’s today’s main takeaway:The key to future proofing your marketing career with the ever changing AI landscape is to stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools.Definition of tech termsI’ll be using some of these terms throughout my analysis of some of these tools so here’s a primer explaining the three most common AI technologies used for marketing applications: MLMachine Learning): ML is a way to teach computers to learn by themselves, without having to be programmed for every task. They learn from examples and data patterns to make predictions or decisions. Applications include segmentation, predictive analytics and propensity models. NLPNatural Language Processing: NLP is a subset of ML and focuses on enabling computers to understand, interpret, and generate human language. Includes sentiment analysis, machine translation, named entity recognition, text summarization, and more. NLP techniques usually helps computers understand and communicate with humans using everyday language. GNNGraph Neural Network: GNN also a subset of ML is a type of neural network that aims to handle graph-structured data, data organized like a network or web of connected points. Applications include analyzing relationships between different things like users in a social network or users in your database or recommending additional products based on past purchase history. Real AI vs noisePart of the reason AI gets a really bad rep, especially in martech, is that anything that’s built on if statements or simple Javascript logic gets called AI. There’s still plenty of AI startups that shout about their proprietary AI when it’s probably just a few decision trees and a few interns running spreadsheets.Now though, you have an even bigger bucket of noise that’s essentially “slight tweak on Chat-GPT”. Developing AI that was comparable to human performance was a challenging feat prior to GPT's arrival. To achieve this level of sophistication, a company would have had to:make a substantial investment, amounting to millions of dollarsdeveloping its own algorithmsperforming extensive data cleanupBut it’s so easy now because GPT is so good out of the box. Allen Cheng puts it simply. Starting a new AI venture can be achieved by simply assembling a few elements: a product developed on GPT-4's user-friendly APIa website, and a marketing campaign. This is why we’re seeing hundreds of AI tolls pop up every week.A lot of these GPT-based products are pretty much indistinguishable from one another. Maybe a handful have a significant advantage over others but most are gimmicky. And over the next few months, every tool is going to be integrating ChatGPT features inside their products in the hopes of making it stickier.The threat of GPT-nThe part that I find trickiest and the most discouraging about building anything on top of GPT is that any progress you make on fine tuning GPT-4 will totally be wiped out by GPT-5 or GPT-n… Kind of like we talked

What’s up folks. This is part 3 of our deep dive into AI impacts on marketing jobs.I want to start off by apologizing that this episode might be a bit rusty, I’m attempting to record this while fully sleep deprived thanks to a 1 week old newborn at home haha Our daughter arrived nice and early and, yeah it’s been a wild change in sleeping patterns haha.In our first episode we introduced the topic and covered how fast AI could replace marketing jobs and what the transition might look like. In episode 2 we covered ways marketers can stay up to date with the latest advancements in AI. Next up, 3. Practical changes and new areas marketers can invest in (today)4. Find the top AI marketing tools and filter out the noiseHere’s today’s main takeaway: AI is already disrupting martech but in 5-10 years our jobs are likely going to look very different. Now is the time to figure out if you need to make changes to your current area of speciality in order to future proof your career. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy.Today we’ll help you reflect on different options to investigate as you navigate through this future landscape and what job titles of the future might be in store for marketers.Here’s a quick outline of some of the new marketing areas to potentially focus on that might future proof your career if AI becomes as big as some are predictingOutlineAI tech implementation, find ways to use AI and automate tasksData and API services, exposing data from your business to let AI assistants leverage themGetting closer to product and customers, deeply understanding customers is always going to be something hard for AI to replicateCopywriting, generative AI is great at creating the familiar but can’t yet create the newEthics, privacy and responsibility, AI is really bad at displaying the POVs of underrepresented groupsAnd a look into the future at emerging tech, trying to guess some future job titles for marketersI have to admit, what spurred this whole AI series and what led to my diving into the rabbit hole was a genuine fear, or at least serious contemplation about whether I needed to focus on new marketing areas or pivot in some case.New marketing areas to focus onYeah it’s a totally valid question and probably something a lot of marketers are wondering. Phil you had a great episode previously (part 2) that covered how we can stay informed… let’s chat about what you can do practically about your current situation or at least start thinking about career transition strategies. Some of you listening or reading today are probably already in a really nice spot. Our podcast mission is to future proof the humans behind the tech and if you’re already working with marketing tech you’re in a really nice position to continue the shift towards additional AI and automation. We talked a bit about this in the first part of our series – but I think that AI developments represent that same type of shift that we’ve seen in the past. The change always seems bigger when you look back historically, but living through these developments are step functions not quantum leaps.Still – it bears repeating – the pace of change in AI is far faster than other emerging tech we’ve seen in the past. I think while the tech is moving blazingly fast, there is already considerable pressure to throttle development. One thing that is highlighted in that Goldman Sachs fear report about Millions of jobs being replaced by AI is that despite losing millions of jobs, AI may also mean new jobs and a productivity boom.The report cited that 60% of workers are in occupations that did not exist 80 years ago. Think about aht for a second. I think that all you have to do to see how fast things are going is to pay attention to the developments coming out of ChatGPT. I’ve used it a bit and it’s mind blowing what you can do with it. I asked it to design a workout plan for me based on my age and fitness factors. I specifically told it that I couldn’t be sore or too tired while I ramped up - I chase 4 young kids at home, after all. The plan it designed is solid.I think the bigger factor isn’t how to apply this tech, it’s how quickly will use cases become common place. It’s easy to think of an AI reading all your docs and chat logs and then operating as a support chatbot – but how fast are teams going to move on this type of work? What type of engineering is required by the existing team to get this in place? Why do we assume they’ll automatically lose their jobs? Is it possible the extra efficiency can free up time to be spent on higher order tasks? Have you met a support team that isn’t overrun with requests and also have big ideas on how to improve customer success? There’s a process to tech adoption, and I think it has as much to do with confidence in the tools, concerns around ethics/privacy, and actually figuring out how to imp