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/Index/Deep Sync/Privacy-safe consumer/household identity graph for offline retail
DS

Privacy-safe consumer/household identity graph for offline retail

DEEP SYNCManage supplier listing

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.

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Deep Sync/Privacy-safe consumer/household identity graph for offline retail
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
IT Consulting & Other ServicesFood Retail
Instruments
equities
Categories
Alternative
Fundamental
Reference
Regions
US
Sample tickers
ACIKRSBUXWMTTGTDGDLTRCOST
Dataset card
Type
not stated
Format
Tabular identity-resolution output: record-linkage/match tables keyed to a persistent person and household ID, delivered as an enrichment layer over the retailer's own transaction feed (CRM/loyalty-compatible file or API join), not as raw transaction files
Volume
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
Users
N/A as a consumer count — B2B identity platform. Client footprint instead: national grocery and mass-merchant chains, each contributing very large transaction streams (a single national chain covers tens of millions of households). Deep Sync itself is an 83-person company (~$68.5M revenue range), i.e. enterprise-scale deployments rather than a long tail of small accounts. Request further research on the exact number of retailer deployments.
History
7 years
Update frequency
not stated
Growth
Active — current marketing use-case content, 83 employees and a ~$68.5M revenue range on the company record, and identity/transaction-matching is the company's flagship positioning
Launched
~2022-2024 for the Transaction Matching product line as currently branded (company record vintage 2022 under the Deep Sync identity); the underlying data business predates the rebrand through its predecessor identity/marketing-data assets
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Deep Sync has not added their own details yet. Not yet on file:

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