Identity mapping
Define identifiers and aliasing behavior before event activation. Document which system owns identity changes and how merge or duplicate scenarios are handled.
Use a clear data contract for profiles, events, audiences, consent and downstream activation so lifecycle teams can trust what arrives in Braze.
Integration design is less about moving every field and more about making ownership, identity, timing and downstream usage explicit.
Define identifiers and aliasing behavior before event activation. Document which system owns identity changes and how merge or duplicate scenarios are handled.
Separate customer events from derived attributes and define naming, properties and expected volumes before building journeys.
Decide which audiences should be computed upstream in Segment and which rules belong inside Braze.
Carry communication preferences and suppression logic through the activation path and document ownership.
Test representative profiles, event payloads, audience membership and downstream journey behavior before production.
Create clear ownership for schema changes, data-quality issues, rollout controls and post-launch monitoring.
Source systems feed a controlled data contract, identity is normalized, selected attributes or audiences are activated into Braze, and engagement outcomes are returned to the analytics layer where appropriate. The exact design depends on the existing stack, data ownership and operating model.
Use focused integration support when data is already available but activation is unreliable, when a new warehouse/CDP connection is being introduced, or when lifecycle programs need a clearer contract between engineering and marketing operations.
See all integration patterns → · Braze integration services →
Bring the current architecture, source systems and activation requirement.