Achieving Optimal Outcomes with Backwards Induction | Lessons from the Fire | Behavioral Economics in Marketing Podcast

Backwards induction in game theory is an iterative process of reasoning backward in time, from the end of a problem or situation, to solve finite extensive form and sequential games, and infer a sequence of optimal actions. In this episode, I considered achieving optimal outcomes with backwards induction using examples of when this type of decision making process comes in handy and the basic steps to create a backwards induction model. 

Behavioral Economics in Marketing Podcast | Understanding how we as humans make decisions is an important part of marketing. Behavioral economics is the study of decision-making and can give keen insight into buyer behavior and help to shape your marketing mix. Marketers can tap into Behavioral Economics to create environments that nudge people towards their products and services, to conduct better market research and analyze their marketing mix.

Sandra Thomas-Comenole | Host | Marketing professional with over 15 years of experience leading marketing and sales teams and a rigorously quantitative Master’s degree in economics from Rensselaer Polytechnic Institute. Check out her Linkedin profile here: Sandra Thomas-Comenole, Head of Marketing, Travel & Tourism

Lessons From the Fire | Lessons From the Fire, Season 5 of the Behavioral Economics in Marketing podcast will be dedicated to those that along with our family lost everything in the Marshall Fire in Boulder, Colorado, as well as to those that have been affected by natural disasters. My hope is that listening to this season of the Behavioral Economics in Marketing podcast will help others in their healing process. But I also believe that this season will be full of marketing wisdom for marketing professionals and business leaders.