Case studyMay 15, 2026 · 6 min read

How rage tap detection reduced churn by 34%

A Nigerian fintech company was losing users at an alarming rate. Their 7-day retention had dropped from 62% to 41% over three months. They could not figure out why.

The problem

The team had Google Analytics and Firebase Crashlytics. There were no crashes. No obvious errors. Users were just leaving after a few sessions and not coming back.

They integrated Unilitix and within 48 hours had their first insight: rage taps on the payment confirmation screen.

What rage taps revealed

Rage tap detection flagged that 47% of users who reached the payment confirmation screen tapped the confirm button more than 3 times before it responded. On some devices it was taking 4-6 seconds to respond.

The button was not broken. It was processing the payment. But there was no loading indicator. Users thought it had not worked and kept tapping. Some tapped so many times that duplicate payment requests were being submitted, which triggered their fraud detection and blocked the transaction.

The fix

The engineering team added a loading spinner and disabled the button after the first tap. The fix took 2 hours to build and deploy.

The result

Within two weeks of the fix going live, 7-day retention recovered to 58%. Payment completion rates improved by 34%. Duplicate payment fraud alerts dropped by 91%.

All from a 2-hour fix that would never have been found without rage tap detection.

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