621 Transform Your Profitability with StackTracker
Uncle Marv interviews Colin Knox, the co-founder and CEO of Gradient, about their new product called StackTracker. StackTracker is a tool that helps MSPs gain deep visibility into their technology stack, including usage, costs, and profitability.
Uncle Marv's IT Business Podcast (Real Talk for IT Pros & MSPs) · Colin Knox
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Show Notes
Introducing Stack Tracker for MSPs
Colin Knox explains that StackTracker goes beyond just mapping an MSP's technology stack. It focuses on the reseller aspect of an MSP's business, providing insights into the usage, costs, and profitability of the solutions they are reselling to clients. By pulling in data directly from vendors, StackTracker can show MSPs their vendor spend, revenue, and profitability across their entire product portfolio. This allows MSPs to identify opportunities for optimization, such as consolidating redundant solutions or upselling underutilized products to clients.
Empowering MSPs Through Data Analysis
The system also uses AI to analyze the data and provide actionable recommendations to the MSP. This includes identifying anomalies, such as duplicate deployments of the same product, as well as quantifying revenue and profit opportunities across the client base. The AI-driven insights aim to help MSPs make more informed decisions about their technology stack and pricing strategies, ultimately driving greater profitability. Colin emphasizes that the key value proposition of StackTracker is empowering MSPs to grow their businesses smarter and more profitably.
Key Takeaways:
- StackTracker provides deep visibility into MSPs' technology stacks, including usage, costs, and profitability
- Focuses on the reseller aspect of an MSP's business, not just internal tool usage
- Uses AI to analyze data and provide actionable recommendations for optimization and growth
- Helps MSPs identify revenue and profit opportunities across their client base
- Aims to enable MSPs to make more informed decisions about their technology stack and pricing
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