Deep Sync

Deep Sync — Privacy-safe consumer/household identity graph for offline retail: a transaction-matching layer that resolves anonymous in-store grocery transactions to real individuals and households by combining sparse loyalty data with privacy-safe transaction signals and store-level catchment intelligence. The licensable asset is the resolved identity/match fabric itself — a large-scale person↔household↔retail-transaction linkage table plus the store catchment geography model — built while running identity resolution inside grocery and mass-merchant clients' transaction streams.. Substantial …

Deep Sync offers (Alternative, Fundamental, Reference) — Order of 100M+ household-linked records across deployed retail bases: the case study reports 70%+ of a national chain's in-store transactions resolved to real individuals and households, which on a single national grocer's volume implies tens of billions of resolved transaction-to-person linkages over multi-year history.

Grocery and mass-merchant retail-media targeting and measurement; household-level CPG category-penetration and share-of-wallet modeling; audience extension for media buyers who need offline purchase truth; churn/lapsed-shopper models built on persistent person histories; retail site-selection using the store-catchment household model; training data for identity-resolution and entity-matching ML models.

The data is with 7 years of history.

Coverage spans US; IT Consulting & Other Services, Food Retail; alternative, fundamental, reference; equities.