The Future of Identity Resolution, Customer Data & AI | Deep Sync

What does the future of identity resolution look like in a world shaped by AI, fragmented customer data, and evolving privacy expectations? In this conversation, Pieter De Temmerman, CEO and Board Member at Deep Sync, joins Lindell Bennett, Chief Commercial Officer, to explore how identity resolution, customer intelligence, and data quality are shaping the future of marketing. From understanding the real people behind fragmented customer records to connecting online and offline identities, Pieter and Lindell discuss the importance of a reliable identity foundation for building more meaningful customer connections. The conversation explores the relationship between identity resolution and audience reach, the importance of maintaining control over customer data in cloud environments, and why understanding people at both the individual and household levels matters. They also discuss how transaction matching can help retailers uncover insights from previously anonymous purchases, why differentiated data is increasingly valuable for AI-powered marketing, and what organizations should consider when evaluating identity match quality. In this interview: How identity resolution supports customer addressability and audience activation Why customer data quality and cloud control matter The value of person-level and household identity How transaction matching can unlock retail customer intelligence The role of differentiated data in AI-driven marketing Why identity accuracy and match transparency matter Chapters 00:00 Introduction 01:52 Identity Resolution & Audience Reach 07:06 Customer Data & Cloud Control 11:12 Household Identity & Intelligence 15:50 Transaction Matching in Retail 17:07 AI & Differentiated Data 19:04 Identity Match Quality & Transparency 🌐 Explore Deep Sync: https://deepsync.com 📩 Connect with our team: https://deepsync.com/contact #IdentityResolution #CustomerData #ArtificialIntelligence #DeepSync