cm360-data-transfer-and-attribution

Build a custom attribution model with Campaign Manager 360 Data Transfer v2 by loading raw log-level impression, click, and activity files into BigQuery, then applying custom attribution logic and user ID stitching for detailed analysis beyond the CM360 UI.

Data reconciliation against Floodlight totals in CM360 compares your processed attributed activity counts from DTv2 logs with Floodlight reports to ensure your custom data ingestion and attribution logic is accurate.

Yes, you need BigQuery to process Campaign Manager 360 DTv2 files. The Skill relies on BigQuery to ingest raw log-level data and execute custom attribution modeling and data reconciliation queries.

Yes, you can stitch user IDs across impression, click, and activity logs from CM360 Data Transfer. The processing logic supports user ID stitching to build cohesive custom attribution models from raw DTv2 data.

Use custom attribution with CM360 DTv2 logs instead of UI reporting when you need detailed, log-level analytical modeling, user ID stitching, and data reconciliation capabilities that the standard CM360 UI attribution cannot provide.

Campaign Manager 360 data reconciliation supports impression, click, activity, and match table data. Processing these raw DTv2 log files enables accurate attribution modeling and validation against Floodlight totals.