A premium fashion brand stuck at roughly ₹16 lakh a month, with an incumbent agency and a return that collapsed every time spend rose. Five times the monthly sales later, more than half of it comes from customers who came back.
Around ₹16 lakh a month in online revenue, growth stalled. A previous agency on the account, and every attempt to scale spend killed the return. No lifecycle program, and a flagship store that nobody was measuring.
A planning-first performance engine. Monthly plans across Meta and Google built around collections, drops and sale moments, with budgets paced daily against the plan rather than left to the algorithm.
Creative velocity. Thirty or more new creatives tested every month, with AI folded into production so testing never waits on design bandwidth. Winners scale, losers die in days.
A WhatsApp retention engine. Abandoned-cart nudges at two and eight hours, a 30-day repurchase nudge, dormant win-backs, and campaign sends segmented by recency, spend tier and city.
The store measured like a channel. Walk-in tracking tying footfall and billed sales back to campaigns.
Monthly sales grew more than five times, from ₹16 lakh to an ₹85 lakh+ best month, 45% up year over year. The blended return held near 5x while spend scaled about three and a half times. The WhatsApp engine returned 32x on its cost and reached about a fifth of monthly revenue within two months of launch. In-store, 400+ tracked walk-ins billed ₹16 lakh+, and store shoppers spend 35 to 70% more per bill than online.
ROAS held at 5x while monthly sales grew five times over.
Two lines on the outcome you are after. That is enough to start.