FinTech | Credit scoring & analytics

Cash2u

Reducing the cost of a lead through credit scoring, analytics and accurate work with a high-quality audience.

Google AdsMeta AdsRetargetingCredit scoringAnalyticsLead quality

In fintech projects, the main problem is not the quantity of leads, but their quality. You can receive thousands of applications, but if the audience does not pass the scoring, advertising simply burns up the budget.

01 / Objective

Therefore, the main task was to build a system for attracting users who are highly likely to receive approval for loan products.

To achieve this, deep audience analytics and user segmentation were introduced based on behavioral data, interests and parameters related to credit scoring.

02 / Acquisition system

Advertising campaigns were launched through Google Ads, Meta Ads and performance retargeting with constant optimization based on quality actions, and not just clicks or applications.

Instead of mass traffic, the focus was on a high-quality audience, precise targeting, look-alike segments, user behavior analytics, and optimization for approved applications.

03 / Optimization

Due to proper work with data and constant testing of audiences, it was possible to reduce the cost per lead by 31%, improve the quality of incoming traffic, increase the percentage of approvals of loan products and make advertising campaigns more scalable and predictable.

04 / Outcome

This project showed that in fintech growth is achieved not through large budgets, but through accurate analytics and proper work with the audience.

Result

What has changed

Reduced cost per lead by 31%
Improving the quality of incoming traffic
Increase in the percentage of loan product approvals
More scalable and predictable advertising campaigns
Optimization for approved applications, not just clicks