In this episode of The Brainy Business podcast, Melina Palmer dives into the fascinating intersection of artificial intelligence and behavioral economics with Sam Albert, Chief Digital Officer at Behaviorally. Sam shares his extensive experience in the research industry and discusses the innovative work his team is doing with Flash.AI to create predictive models that help businesses increase sales and improve customer connections.
Sam explains how Behaviorally leverages a rich database of system one and system two behaviors, along with advanced image recognition, to predict consumer actions and reactions. He provides valuable insights into the dynamic nature of AI models and the importance of continuously updating them to reflect real-world changes. Sam also shares compelling case studies that illustrate how Flash.AI can help businesses make informed decisions about product packaging and placement, ultimately leading to better market performance.
In this episode:
- Discover the power of combining AI and behavioral economics to create predictive models.
- Learn about the dynamic nature of AI models and the importance of continuous updates.
- Explore compelling case studies that demonstrate the impact of Flash.AI on product packaging and placement.
- Understand the importance of context and nuance in evaluating consumer behavior.
- Gain insights into the future of AI and its role in market research and consumer behavior analysis.
Show Notes:
00:00:00 - Introduction
Melina Palmer introduces Sam Albert and highlights the focus of the episode on AI and behavioral economics.
00:02:45 - Sam Albert's Background
Sam shares his journey from a pre-law political science major to Chief Digital Officer at Behaviorally, detailing his extensive experience in the research industry.
00:08:15 - The Evolution of Behavioral Science
Sam discusses the early days of behavioral science and the innovative tools and techniques used to understand consumer behavior.
00:13:55 - Introduction to Flash.AI
Sam explains how Flash.AI leverages a rich database of system one and system two behaviors, along with advanced image recognition, to predict consumer actions and reactions.
00:19:30 - The Dynamic Nature of AI Models
Sam emphasizes the importance of continuously updating AI models to reflect real-world changes and ensure accurate predictions.
00:24:55 - Case Studies
Sam shares compelling case studies that illustrate how Flash.AI helps businesses make informed decisions about product packaging and placement.
00:34:20 - The Future of AI in Market Research
Sam discusses the future of AI and its role in market research and consumer behavior analysis, emphasizing the importance of context and nuance.
00:44:10 - AI Summary
Melina wraps up the conversation, highlighting the key takeaways and encouraging listeners to explore the potential of AI in their own businesses.
00:49:35 - Conclusion
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Get the Books Mentioned on (or related to) this Episode:
- The Truth About Pricing, by Melina Palmer
- The Power of Scarcity, by Mindy Weinstein
- Influence, by Robert Cialdini
- The Psychology of Price, by Leigh Caldwell
- Semiotics In Retail, by Rachel Lawes
Top Recommended Next Episode: Unboxing Videos: Why Do They Work? (ep 180)
Already Heard That One? Try These:
- Quality Vs Value (ep 357)
- The Truth About Pricing (ep 356)
- How to Stack and Bundle Products and Services (ep 84)
- How to raise your prices (ep 354)
- Pain of Paying (ep 240)
Other Important Links:
- Brainy Bites - Melina’s LinkedIn Newsletter
- Flash.AI Case Studies