data-quality-and-reconciliation

To reconcile conversion data discrepancies between DSP and GA4, compare platform-specific metrics using statistical anomaly detection with seasonal and weekday adjustments to determine if differences are legitimate or tracking errors.

Conversion numbers differ across Campaign Manager 360 and DSPs due to platform-specific metrics and attribution models. Establishing acceptable discrepancy bands helps identify true anomalies versus normal variation.

The best way to detect true anomalies in cross-platform delivery numbers is using statistical analysis that applies seasonal and weekday adjustments to establish acceptable discrepancy bands for accurate comparison.

Yes, you can use statistical anomaly detection for pre-ship data quality checks to ensure conversion reports are free of errors and identify potential tracking issues before they reach the client.

Yes, data reconciliation requires understanding attribution models because platform-specific metrics and attribution differences directly cause conversion data discrepancies across DSP, GA4, and Campaign Manager 360.