How Fixing Attribution Increased Qualified Leads by 45% for a Fintech Company
Their campaigns were optimized for form fills, not qualified approvals. We rebuilt attribution to track the full funnel and slashed CAC by 62%.
Their campaigns were optimized for form fills, not qualified approvals. We rebuilt attribution to track the full funnel and slashed CAC by 62%.
Marketing and product teams were misaligned. Marketing was measured on lead volume. Product cared about approval rate. Nobody was tracking which traffic sources delivered qualified applicants vs junk leads.
Track the complete funnel from ad click through credit approval, feed approval data back to Google Ads for smart bidding, identify which campaigns and keywords drive qualified vs unqualified leads, and reduce cost per approved customer.
Credit-seeking consumers aged 30-55 with FICO scores above 650, stable income, and low DTI ratios.
We connected Salesforce to GA4 using the Measurement Protocol API. Every time a lead was approved or rejected, that outcome was sent back to GA4 with the original client ID and campaign attribution intact.
We configured Google Ads to accept offline conversions via hashed email matching. Now when someone applies and gets approved 3 weeks later, Google Ads knows which keyword and ad drove that approval — and adjusts bidding accordingly.
We rebuilt all attribution reporting around "approved_loan" instead of "form_submit". Marketing could finally see which campaigns were burning money on unqualified traffic.
Once Google Ads had 30 days of approval conversion data, we migrated from manual CPC to Target CPA bidding focused on approved customers. The algorithm immediately started cutting spend on low-quality keywords.
The solution delivered measurable improvements and satisfied users, proving the value of the design and engineering choices.
“We were hemorrhaging money on leads that would never get approved. MarTechRise showed us exactly which campaigns were driving qualified applicants vs tire-kickers. Within 60 days our CAC dropped by more than half and our approval rate doubled.”
Specific features and implementations that solved the problem.
More projects you might find interesting