Overview
Identity Resolution is the DinMo identity layer for customer data. It helps you turn fragmented warehouse records and event streams into trusted profile and journey outputs that can be reused across Customer Hub, Segments, Activations, analytics, and downstream models.
For the business background on why identity resolution matters, see DinMo's guide to the identity graph and the single customer view.

Capabilities
DinMo Identity Resolution has two independent capabilities. Choose based on the grain of the data you want to resolve.
A trusted one-row-per-customer profile spine from profile-like records.
dinmo_id
identity_golden
A behavioral journey graph across anonymous and known events.
dinmo_stitched_profile_id
Event profile attribution
You can use one capability without the other. When you use both, they stay independent and can be joined in your warehouse on identifiers you trust.
Workflow paths
Profile Resolution and Event Stitching follow separate workflows with independent outputs.

Where to start
Which customer records describe the same person?
How do I create a clean customer table for activation or analytics?
Which events belong to the same behavioral journey?
How do anonymous events connect to known activity after login?
I am not sure which one fits my use case.
How the pieces relate
The main difference is the input grain:
Profile Resolution resolves profile-like records such as customers, contacts, accounts, subscribers, or app users.
Event Stitching stitches event-like records such as purchases, page views, sessions, app events, support interactions, or product usage events.
Profile Resolution creates dinmo_id. Event Stitching creates dinmo_stitched_profile_id. These IDs are separate by design because a customer master profile and a behavioral event journey have different lifecycles.
For the shared vocabulary, see Identity Resolution concepts.
Next steps
Compare the two capabilities
Build your first Profile Resolution project
Configure Profile Resolution matching
Review Profile Resolution outputs
Prepare event data
Create an Event Stitching project
Understand Event Stitching behavior
Review Event Stitching outputs
Last updated

