In several projects we compared CPA in AdsManager with CPA in CRM and saw discrepancies: the same lead can be counted differently in different systems.

Ads Manager often calculates CPA based on conversions that are just events, not necessarily qualified leads, while CRM tracks leads by pipeline stage.

This misalignment makes ROI unclear, budgets get spent in the wrong places and forecasts feel less reliable.

What problems come from the gaps between CPA and CRM?

• Management decisions rely on wrong signals; ROI looks distorted.
• Different attribution rules and lead definitions push budgets across channels and time, turning optimization into guesswork.
• Analytics becomes fragile because numbers don’t reflect real impact.

The takeaway is to unify lead definitions and attribution windows:

• Align what counts as a lead in Ads Manager and CRM.
• Also align attribution windows in your BI so CPA in ads reflects true performance.
• Bring data into a single source of truth (e.g. GA4 BigQuery-CRM) for proper comparison.

What to do next: steps for synchronization and pilot:

• Standardize lead format and transmission; implement a single lead_id and pass it on every event.
• Do not treat CPA as a GA4 dimension; stitch data between client server and CRM.
• Run a pilot on one channel, monitor data quality and duplicates, document the methodology for the team.

Want to get all my top Linkedin content? I regularly upload it to one Notion doc.

Go here to download it for FREE.