Ten agent workflows for Criteo's data science team — shopper graph enrichment, lookalike audience modeling, cross-device identity resolution, persona-based targeting, interest graph construction, purchase intent prediction, audience decay modeling, cohort discovery, geographic audience expansion, and privacy-safe audience activation across 100M+ domains.
AI agent enriches Criteo's Shopper Graph with domain-level intelligence — mapping IAB Categories, Personas, and Countries to every domain a user visits, creating a multi-dimensional profile that improves ad targeting precision without relying on individual user tracking.
AI agent builds lookalike audiences from seed segments using domain intelligence — finding users who visit similar types of domains (by IAB Category, Personas, and PageRank patterns) to high-value converters, expanding addressable markets without cookie dependence.
AI agent predicts purchase intent by analyzing the type and recency of domains a user visits — distinguishing between research-phase browsing (review sites, comparison pages) and active purchase intent (retailer product pages, pricing pages) for real-time bid optimization.
AI agent builds a comprehensive interest graph by mapping IAB Categories and Personas across all domains in the database — creating a web-scale knowledge graph of topic relationships that enables Criteo to discover non-obvious audience affinities for better targeting.
AI agent models audience signal decay by tracking how domain visit recency impacts purchase intent — determining optimal retargeting windows for each IAB category and Persona type to maximize ROAS and prevent wasted ad spend on decayed audiences.
AI agent discovers new high-value audience cohorts by analyzing domain visit patterns and enrichment data — identifying clusters of users with similar domain-level profiles that represent untapped targeting opportunities for Criteo's advertisers.
AI agent expands audience targeting into new geographies by analyzing Countries enrichment data and regional domain patterns — identifying users in new markets who visit domains similar to high-value converters in established markets.
AI agent enhances cross-device identity resolution by matching domain visit patterns across devices — using consistent IAB Category and Persona profiles to probabilistically link desktop and mobile browsing sessions for unified audience targeting.
AI agent enables privacy-safe audience activation by creating domain-level audience segments that don't require individual user tracking — using aggregated IAB Categories and Personas at the domain level to target audience types rather than individuals.
AI agent forecasts audience segment performance by analyzing domain intelligence trends — predicting which audience segments will grow or shrink based on changes in domain visit patterns, IAB Category trends, and Persona shifts across the 100M+ domain database.
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