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Identity Resolution

Identity resolution is the process of matching and merging identity data from multiple sources to determine that different records refer to the same individual, producing a unified customer profile.

Also: identity resolution

Identity resolution connects data points from different systems, channels, and devices to a single individual. When a customer interacts through a website, a mobile app, a physical store, and a call center, each system may record those interactions under different identifiers. Identity resolution links these records together.

Two primary techniques exist. Deterministic matching uses exact or near-exact identifiers, such as email address, phone number, or loyalty ID, to connect records with high confidence. Probabilistic matching uses statistical models to infer connections based on signals like device fingerprints, IP addresses, browsing patterns, and location, accepting a degree of uncertainty.

Most implementations combine both approaches. Deterministic matches form the backbone, and probabilistic techniques fill gaps where shared identifiers are absent. The quality of resolution directly affects downstream analytics, personalization, and marketing attribution.

For CIAM, identity resolution starts at the authentication layer. When customers log in across devices and channels, the CIAM platform creates the verified identity links that resolution engines across the organization depend on.