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Ticker byClearTrust

Data & identity · also called ID graph, identity resolution

Identity graph

An identity graph is a database that links the many identifiers belonging to the same person or household, such as emails, device IDs, cookies and IP addresses, into one profile.

The short answer, from the AdTech Sumo glossary

One person might appear to advertisers as a work laptop cookie, a phone's advertising ID, a smart TV, a hashed email and a loyalty-card number. An identity graph connects those dots, saying these identifiers probably or definitely belong to the same person or household.

Graphs are built from two kinds of evidence. Deterministic links come from definite signals, such as logging in with the same email on two devices. Probabilistic links are statistical guesses based on shared IP addresses, locations, behaviour patterns and device traits. Most commercial graphs, from companies such as LiveRamp, Experian and TransUnion, and from walled gardens, combine both.

Identity graphs enable cross-device targeting, reach and frequency management, measurement and household targeting on Addressable TV. They are also a privacy hot spot: combining identifiers can re-identify supposedly anonymous data, and laws like GDPR and CCPA / CPRA regulate how graphs are built and used. Accuracy varies, especially for probabilistic links, so buyers should ask how links were made.

Think of it like this

An identity graph is like a family tree, except instead of relatives it connects all the different nametags one person wears online.

An example

An identity provider links a hashed email seen on a US retailer's site to two mobile ad IDs and a CTV household ID, letting an advertiser cap frequency at five exposures across all four screens.

Related terms

Sources: GDPR Article 4: definitions, California Attorney General: CCPA