PAID MEDIA · INDIA
Car Insurance Economics at Scale
Rebuilding the unit economics of a top-tier Indian car insurance acquisition program.
CLIENT: Leading Indian Motor Insurance Brand · INDUSTRY: Motor Insurance
The challenge
What we were asked to solve
A leading Indian car insurance brand was running a high-volume acquisition program where the gap between the required cost-per-quote and the available commission structure was collapsing margin. Scale and profitability were in direct tension.
Our approach
How we ran the engagement
- 01Studied the live campaign data to understand which intent clusters, geographies and timings were delivering the strongest unit economics.
- 02Used AI-driven audience modelling to build clusters of users most likely to complete the quote journey — targeting those specifically, rather than running broad top-of-funnel search.
- 03Rebuilt the account around margin-weighted priorities so budget flowed to the clusters that defended the economics.
Results
Numbers from the engagement
Figures from the actual program, with brand name withheld under client confidentiality.
-₹58 per quoteReduction in cost-per-quote on priority clusters
+32% marginRecovered through structural rebuild
Zero publishersDirect partnership, cleaner data
OPERATING STACK: Google Ads · Server-side tracking · Partner MIS integration · AI audience modelling
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