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Case Notes

How a Taxi App Grew Bookings 82% in Three Months

A look behind the Loyal case study: the product decisions, the AI-native build, and the metrics that moved after launch.

Loyal came to us with a crowded market and a simple goal: more bookings, without burning cash on acquisition. The answer was not a flashier app. It was removing friction from the three screens that mattered most.

The product decisions

  • Cut the booking flow from five steps to two.
  • Made the price and arrival time certain before the user commits.
  • Used AI to match drivers and riders by predicted demand, not just distance.
+82.3%increase in bookings within three months of launch

Growth did not come from a new feature. It came from deleting the moments where users hesitated.

What moved the numbers

The matching model reduced wait times, which raised completion rates, which fed better data back into the model. The compounding loop, not any single launch, is what produced the growth curve.

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