Identity Resolution
AdvancedIdentity resolution is the process of deciding which identifiers such as a cookie, a device, a login and a CRM record belong to the same person and should collapse into one profile.
Two mechanisms exist. Deterministic matching relies on a shared, product-owned key such as a user ID and is certain, while probabilistic matching infers a match from signals such as IP address, user agent and timing and is a statistical guess. The result is stored as an identity graph, a cluster of identifiers with one canonical ID chosen as the join key. The term carries two senses: in product analytics it usually means stitching pre-login and post-login activity inside a single product, while in a customer data platform it means matching one person across channels and vendor systems. Probabilistic matching is the risky half, because it inflates cross-device user counts in a way that cannot be verified afterwards.