Source-of-truth mapping
Identify which customer attributes and derived datasets should originate in the warehouse and how frequently they need to refresh.
Use Hightouch to operationalize trusted warehouse data while keeping the Braze layer focused on engagement, journey and messaging decisions.
Integration design is less about moving every field and more about making ownership, identity, timing and downstream usage explicit.
Identify which customer attributes and derived datasets should originate in the warehouse and how frequently they need to refresh.
Define audience selection logic upstream, then map the resulting records and identifiers to the Braze profile model.
Choose update behavior that keeps profiles current without unnecessary processing or conflicting ownership rules.
Document external identifiers, match logic and exception handling before activation reaches production.
Test row counts, field values, segment membership, timing and downstream journey triggers before relying on warehouse-driven data.
Version data contracts and map ownership across warehouse, activation and engagement teams.
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.
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Bring the current architecture, source systems and activation requirement.