Fashion & apparel case study: ₹2L–₹2.5L to ₹2L monthly revenue in 1 month

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   We set up the base for a smaller fashion store before any budget rises. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We put best-sellers on product pages and lead with the one or two categories that already sell.

   Why

   In this case study, a smaller fashion brand grows monthly revenue in 1 month, from ₹2L–₹2.5L to ₹7L–₹8L (3.3x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the case study follows the pace of that top tenth rather than forcing the number. No single problem was named; the case study works from the figures instead. Later budget calls need something written to be judged against. Lead categories give prospecting ads a proven entry point.

   How it works

   The brief is agreed first; spend follows it. Lead categories carry the first scaling months.

2. 2

   Measurement & reviews · Week 1 to 4

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We set the path from ₹2L–₹2.5L to ₹7L–₹8L as written weekly numbers, and read every review against the week so far.

   Why

   With no return on ad spend reported, the case study begins at the level measured fashion stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written monthly numbers expose a slow week while there is still time to act.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. Each budget step is argued against the written number.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to about a dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. The four learning weeks run with a deliberately small daily budget until orders prove the buyer. We work in creative batches with a fixed read window each. We lead with video that carries trust: creators, customer feedback and founder-led pieces.

   Why

   Early spend buys learning, not scale. Buying more before a batch is read means paying for guesses. Video built on trust was the format that held return in most measured accounts.

   How it works

   Spend steps up only after orders confirm at the low budget. Losing batches stop; winning ads take their budget. UGC that underperforms is replaced by founder-led video, not given more budget. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Week 4

   What we do

   We scale through Week 4 toward ₹7L–₹8L as the budget stays close to the learning level while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We recover abandoned checkouts with WhatsApp messages as traffic grows.

   Why

   Across Week 4, the budget stays close to the learning level, while return on spend holds. Each budget step here is sized so that return stays close to where it was. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   There is no fixed ramp; each week's budget follows the return of the last. WhatsApp recovery runs alongside paid retargeting, not instead of it. Most of the last four weeks's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Week 1

   Learning starts: a small daily budget carries the first ads, and store orders are matched to tracking. The media schedule and creative brief are signed off. Lead categories get their own campaigns.

   • Revenue ₹49,753
   • ROAS 1.89x
   • Ad spend ₹26,295
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. Return on spend holds while budget holds.

   • Revenue ₹48,713
   • ROAS 1.88x
   • Ad spend ₹25,931
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Revenue ₹51,634
   • ROAS 1.91x
   • Ad spend ₹27,091
4. Week 4

   Learning phase closes: the buyer found and the winning creative picked. Return on spend holds while budget holds. The case study finishes short of ₹7L–₹8L: budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹52,478
   • ROAS 1.92x
   • Ad spend ₹27,338

1. 1

   Best-sellers on product pages, trousers and co-ords as lead categories, a monthly creative bank

2. 2

   Cut budgets during a major marketplace sale and moved spend to niche premium audiences

3. 3

   Tracked net sales beside Shopify revenue and set the numbers on the lower figure