Season 6 Rewind: Social Proof & the Psychology of Influence | Behavioral Economics in Marketing Podcast | Season 10 - In Review
Description
In this teaser episode for Season 10 of the Behavioral Economics in Marketing Podcast, we revisit one of the most energetic and content-rich seasons yet — Season 6: the 30-Day Challenge. With over 30 actionable episodes, this season was a crash course in applying behavioral science to real-world marketing.
This time, we’re highlighting Leveraging Social Proof to Increase Conversion Rates — an episode that explores how seeing others’ actions can significantly impact trust, confidence, and buying behavior. We discuss types of social proof, why it works, and how smart marketers use it to guide customer decisions.
Then we tee up an all-new companion episode:
The Power of Influencers: Behavioral Economics Behind Influencer Marketing.
We’ll explore how influencers — from macro to micro — serve as dynamic social proof, backed by behavioral science. You’ll learn how to choose the right influencer partners, why their messages stick, and how to amplify trust and engagement with authentic storytelling.
Whether you're launching a campaign or growing your brand’s credibility, this two-episode pairing will help you better understand the psychology of trust and influence in modern marketing.
🎧 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.
United States
