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Capabilitycapability.identity-resolution

Identity Resolution

The process of stitching disparate identifiers — cookie, device ID, email address, phone number, loyalty ID — into a single, persistent customer profile. The foundational prerequisite for any cross-modality or cross-session activation.

confidence 82%v1reviewed May 5, 2026identity, stitching, profile, cross-device, match-rate, id-graph

Identity Resolution stitches together the many identifiers a customer leaves across touchpoints — browser cookies, mobile device IDs, authenticated email addresses, phone numbers, loyalty program IDs, payment tokens — into a unified, persistent customer profile. It is the foundational prerequisite for any activation that spans sessions, modalities, or devices.

Two architectural postures.

Why match rate matters. A system with 40 % identity resolution leaves 60 % of profiles anonymous. Audience sizes deflate, lookalike models train on incomplete data, and cost-per-acquisition metrics mislead because they denominate over improperly unified profiles. Architecture recommendations should elicit the organization's match-rate baseline and expectations before recommending a posture.

Key constraints on this capability.

Vendors providing this capability. vendor.adobe-experience-platform (packaged), vendor.snowflake + custom engineering (composable), vendor.databricks + custom engineering (composable).

Sources

Related

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  • applies-to-latency-tierlatency-tier.intra-sessionIdentity resolution must complete within the intra-session budget to enable real-time NBA and cross-session personalization decisions.

← Referenced by

  • requiresuse-case.next-best-actionNBA prediction across sessions requires a unified profile; anonymous events cannot be enriched with historical context.
  • prerequisite-oftech-dim.dev-team.backend-data-engineeringIn a composable architecture, identity resolution is the primary ownership responsibility of the data engineering team.
  • requirescapability.audience-segmentationEffective audience segmentation requires a resolved profile as its input: segment criteria must evaluate a single unified customer view, not disconnected event streams from different devices or channels. Identity resolution quality directly bounds segmentation accuracy.