Season 4 Rewind: Dual Process Theory and the Personalized Customer Journey | Behavioral Economics in Marketing Podcast | Season 10 - In Review

The Behavioral Economics in Marketing’s Podcast

In this mini teaser episode of Behavioral Economics in Marketing, we revisit one of the most eye-opening episodes from Season 4: Dual Process Theory on Customer Journey Optimization. Learn how understanding the brain’s two systems — the fast, intuitive System 1 and the slow, analytical System 2 — can transform the way you design touchpoints, content, and campaigns that align with how your customers actually think and decide.

Then, we give you a preview of our new companion episode for Season 10: Personalization and Behavioral Segmentation: Targeting System One vs. System Two Customers. In this advanced exploration, we turn theory into practice — showing how to identify your customers’ decision-making modes and tailor your strategy accordingly, using real-world brand examples and behavior-driven insights.

This teaser introduces how Season 10 pairs a classic behavioral concept with a fresh application, giving you even more ways to influence decisions and build better customer experiences.

🎯 Tune in to discover the brain science behind smarter marketing — and how to use it to boost engagement, loyalty, and conversions.

🎧 Explore more insights, episodes, and resources at https://behavioraleconomicsinmarketing.com
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.