Episode 83: Why Your Incrementality Tests Fail with Jaysen Gillespie

Machine learning is dead. Deep learning is here. Jaysen Gillespie from RTB House reveals how AI models that think like the human brain predict real user intent; not just who clicks ads, but who buys without seeing them. That's the secret to true incrementality. He explains how IntentGPT solves contextual advertising problems and why Google's GA4 move accidentally sparked an incrementality testing boom. The future isn't just programmatic. It's intelligence across every channel.About Jaysen Gillespie: Jaysen is a Southern California analytics pro with 15+ years in tech leadership. Currently holding the position of Global Head of Analytics and Product Marketing at RTB House, he turns data into insights that drive relevant decisions. He is an experienced speaker and content creator, simplifying complex ideas and making them easily consumable and applicable. For Jaysen, analytics isn’t just interesting—it’s essential.About RTB House: RTB House is an independent company with global reach that provides automated performance solutions powered by Deep Learning engines to brands and agencies worldwide. Its solutions, covering incrementality, measurement, first-party data signals, creative and beyond, can be applied to every stage of the funnel, and are employed in over 3,000 active campaigns across the world.Discover more at rtbhouse.com