analyst-event-tracking

Validating Braze custom event instrumentation requires checking naming consistency, required properties, and property cardinality to prevent segmentation gaps and accidental duplicates. This ensures analysts can trust event data for accurate campaign targeting.

Braze purchase logging discrepancies often stem from unstable product_id values, inconsistent currency formatting, or improper price and quantity semantics. Verifying order-level versus item-level logging resolves these issues for reliable revenue metrics and LTV reporting.

Auditing Braze session tracking and location capture involves checking session timeout behavior, location recency, and permission handling across mobile SDKs. This prevents false positives in re-engagement campaigns and ensures accurate segmentation.

Diagnosing Braze uninstall detection latency issues requires auditing uninstall detection semantics to identify delays causing false positives. Proper uninstall signal validation ensures accurate re-engagement campaign targeting and reliable lifetime value reporting.

Yes, auditing Braze event and purchase instrumentation diagnoses discrepancies between Braze and external analytics platforms. Comparing event taxonomy, purchase fields, and session definitions identifies data quality issues causing mismatched reporting.

A pre-deployment Braze event taxonomy review is needed before launching new web or mobile SDK instrumentation. Auditing custom event names, purchase fields, and location freshness ensures data completeness and attribution accuracy before collecting production data.