Case study · Ride-Sharing & Mobility
Growth, pricing and lifecycle analytics at Ola
Lifecycle, referral, pricing and fraud analytics that drove 12% revenue growth, a 65% CAC reduction and a 6% lift in bottom-line profit.
- Revenue growth
- +12%
- CAC
- −65%
- Bottom-line profit
- +6%
Context
Ride-sharing in India during 2015–2019 was a battle for riders and drivers, with competition on price, incentives and reliability. Analytics fed directly into growth and profitability.
What I built
Customer Lifecycle Management (CLM) platform
A CLM data platform powered lifecycle targeting, improving retention by 8% and engagement by 42%.
Referral & pricing models
Referral and pricing models drove 12% revenue growth and a 65% reduction in customer acquisition cost.
Fraud & cancellation framework
A fraud-detection and cancellation framework lifted bottom-line profit by 6%.
Route optimization
A route-optimization algorithm increased average ticket size 5x, from ₹250 to ₹1,100.
What carried forward
This period built the foundation for everything that followed: analytics has to end in a pricing, growth or risk decision that shows up on the P&L.