The Unfulfilled Promise of Behavioral Science in Fintech

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Mar 18, 2024

It wasn’t too long ago that Medium articles, blog posts, and press releases everywhere were singing endless praise to behavioral science — specifically to its potential in consumer finance. Pundits were promising that its application would unlock better user experiences and improve financial health through education and easier ways to save. What felt most promising was behavioral science’s potential to open up new revenue streams and increase ROI for banks, insurance companies, and startups that were considering taking it on.

Back in those days, I remember thinking that it wouldn’t be too long until I’d open up my banking app and see features like personalized savings plans based on my spending habits, nudges for healthier financial behaviors, and interactive educational tools that adapt to my financial literacy level and savings goals. I thought it would be a real race — that banks, new fintech (such as roboadvisors), insurtech, and other consumer finance companies would rapidly test and deploy features or even entirely new products based on what was coming out of the field. 

So what happened? Are many of these consumer-facing apps informed or even powered by behavioral science? Are these features really delivering the game-changing results promised to both users and the executives behind them? Are customers able to save more and feel more in control of their finances? Are the leaders who delivered these products getting promoted? Or did the field promise too much? 

Above all else, one thing is clear: despite some hiccups, our field is continuing to grow. Behavioral science practitioners who understand the business context as well (if not better) than the science consistently deliver results that surpass leaders’ expectations. Our team has not only noticed this pattern in other organizations, but we’ve managed to deliver these results ourselves. One nudge unit we helped to create now delivers over $6M in annual revenue increases. We’ve also helped bring fintech products to market that have behavioral science at their core, and the banks we’ve worked with on proprietary research continue to reap the rewards of the studies we conducted. 

Over the past seven years, TDL has had a front seat to the show — giving us a unique perspective to answer all of these questions. In this three-part article series, I’ll explore the strategies we’ve seen push us, the field, as well as practitioners and companies we work with toward fulfilling promised value. But first, let’s start where behavioral science has seemed to fall short… 

About the Author

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Dan Pilat

Dan is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. Dan has a background in organizational decision making, with a BComm in Decision & Information Systems from McGill University. He has worked on enterprise-level behavioral architecture at TD Securities and BMO Capital Markets, where he advised management on the implementation of systems processing billions of dollars per week. Driven by an appetite for the latest in technology, Dan created a course on business intelligence and lectured at McGill University, and has applied behavioral science to topics such as augmented and virtual reality.

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I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.

Heather McKee

BEHAVIORAL SCIENTIST

GLOBAL COFFEEHOUSE CHAIN PROJECT

OUR CLIENT SUCCESS

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Annual Revenue Increase

By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.

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Increase in Monthly Users

By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.

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Reduction In Design Time

By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.

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Reduction in Client Drop-Off

By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%

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