In a marketing world reshaped by privacy shifts, fragmented identity, and the rise of next-generation AI, performance advertisers face both a reckoning and a renaissance. In this episode of AI: Machine-Made Marketing, we sit down with Jaysen Gillespie, Global Head of Analytics and Product Marketing at RTB House, to break down how deep learning is redefining personalization, why contextual targeting is being reborn, and how marketers should prepare for the volatile years ahead.
Jaysen unpacks the evolving “cookie-reduced ecosystem,” the difference between machine learning and true AI, and why the marketers who win will be the ones who embrace curiosity, diversify their toolkits, and lean into incrementality as their guiding metric. He also takes us behind the scenes of IntentGPT, RTB House’s breakthrough approach to contextual relevance powered by large language models.
