How SQREEM's Large Behavioral Model Predicts Consumer Intent with René Raiss
About this episode
Ari Paparo interviews René Raiss about SQREEM's Large Behavioral Model and its implications for predicting consumer intent and improving advertising.
Live at Cannes, Ari Paparo sits down with René Raiss, Founder of SQREEM, to discuss how the company's Large Behavioral Model (LBM) analyzes real-world behavior instead of language to predict intent, improve advertising performance, and power AI-driven insights across industries. Takeaways- Why SQREEM built a Large Behavioral Model instead of a Large Language Model.- How behavioral data provides deeper consumer insights than keywords alone.- Why AI models, not proprietary data, are becoming the competitive advantage.- How brands use SQREEM to improve targeting and lower customer acquisition costs.- Real-world applications of behavioral AI across media, healthcare, finance, and government.- How AI libraries and MCPs are replacing traditional software platforms.- - - Why understanding intent is the future of marketing and advertising. Chapters 00:00 Introduction to René Raiss and SQREEM00:49 The Story Behind the SQREEM Name01:20 What Is a Large Behavioral Model (LBM)?02:11 Why Consumer Behavior Matters More Than Keywords04:21 How SQREEM Collects and Models Behavioral Data05:44 AI Libraries vs Traditional Marketing Platforms06:48 Using Behavioral AI for Better Ad Targeting07:31…
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