Consumer Data Graph
The Short Answer
A consumer data graph is a database that links identifiers, behaviors, and attributes for individual people across sources into a single, queryable structure. Instead of storing one flat record per person, a data graph connects related signals (past addresses, devices, purchase behavior, life events) so a platform can resolve identity and build audiences from any starting point. Exact Match's graph covers 250M+ U.S. consumer profiles.
How It Works
Instead of one flat record per person, a data graph stores every known identifier and attribute as a connected node: past addresses, devices, purchase behavior, and life events. A query against the graph can start from any of those nodes and resolve back to the same person.
Why It Matters
The size and freshness of a data graph is the single biggest driver of match quality. A denser, more current graph resolves more records accurately, which is why refresh frequency matters as much as raw size.
See It In Action
One plan, everything included. Get started on Unlimited for $999/mo, or $6,999/yr on annual billing.