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Case Study
From ₹5L to ₹4Cr+ revenue in 11 months — rebuilt to run on AI
D2C brand (confidential)
₹5L → ₹24L
MRR, 11 months
81% → 14%
ACOS at 7.1x ROAS
₹4Cr+
Revenue, 11 months
86
Countries marketed across
The starting point
The brand had a good product and a stuck growth engine. Spend was inefficient — ACOS sat at 81% — creative shipped slowly, retention was an afterthought, and reporting meant waiting on spreadsheets. AI was in the building, but only as a way to draft the odd caption.
What we changed
We didn't bolt AI onto the old playbook. We rebuilt the engine around it:
- Acquisition — AI-run prospecting and continuous ad iteration, so tests never stopped and budget flowed to what worked.
- Creative — a briefing-to-draft pipeline that multiplied the number of angles we could put in market each week.
- Retention — lifecycle and win-back flows that segmented and personalized at scale with AI.
- Decisions — reporting on tap: ask the numbers a question in plain English, get an answer, act same-day.
The result
Inside 11 months the brand crossed ₹4Cr+ in revenue. ACOS fell from 81% to 14% at 7.1x ROAS, MRR grew ₹5L → ₹24L, and marketing reached 86 countries. The advantage wasn't a tool — it was capability that compounded.
The point isn't that we used AI. It's that the growth engine now runs on it.