Google Ads Case Study
Conversion Data Was Inflated
Google Ads reported significantly more conversions than the client’s CRM, making campaign performance difficult to trust.
A large gap between reported and real conversions caused unreliable data and poor optimization decisions.
The account looked healthier than the business reality
Google Ads reported significantly more conversions than the client’s CRM. The campaign looked stronger in the ad account than it did in real business records, which made optimization decisions harder to trust.
The campaign needed enough conversion data before automated bidding could make informed decisions
The ad account was showing a stronger performance story than the CRM could confirm. Before using the data for optimization, the conversion paths had to be separated and checked against real lead records.
Google Ads reported significantly more conversions than were actually recorded as qualified leads in HubSpot CRM.
Two conversion paths were counting the same lead
Duplicate conversion paths
The same lead was being counted through more than one conversion path.
A GA4 imported conversion and a direct Google Ads conversion action were both contributing to reporting, creating inflated performance data.
The Result
- Conversions looked better than reality
- Bidding optimized toward inflated signals
- Unclear which actions truly mattered
- Hard to make confident decisions
What Was Changed
- Reviewed and cleaned up conversion actions
- Separated primary and secondary conversion signals
- Reduced duplicate or misleading conversion paths
- Clarified which actions should guide optimization
- Improved the reporting foundation for future campaign decisions
Results
- Cleaner reporting between Google Ads and real lead records
- More reliable bidding data
- Reduced risk of optimizing toward inflated signals
- Clearer understanding of which conversions mattered most
Accurate tracking comes before optimization
Smart bidding is only as strong as the data it receives. If conversion data is inflated, campaign optimization can move in the wrong direction. Accurate tracking is essential before scaling budgets or relying heavily on automation.
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