Fashion & apparel case study: ₹1L to ₹1.3L monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We focus the first month on marketing and social presence, the brand’s main problem, on a smaller base. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We get the store ready for paid traffic first: reviews and trust pointers on product pages, a visible return window, an about page and a reason to pay upfront.

   Why

   In this case study, a smaller fashion brand grows monthly revenue in 3 months, from ₹1L to ₹10L (10x). 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. The main problem was marketing and social presence. Without a brief, each creative and budget decision starts from scratch. No budget returns more than the store converts.

   How it works

   The audit, the brief and the media schedule are shared before spend rises. Fixes are listed and handed over early, so later budget lands on a store that converts.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We log store orders every day beside what the ad platform claims. We set the path from ₹1L to ₹10L as written monthly numbers, and read every review against the month so far. We set a written rule: no budget step in a month where return falls too far to pay for it.

   Why

   It did not report a return on ad spend, so the case study starts from what measured fashion stores of that size hold. The ad platform's own count runs high, so the store's count is the one that moves budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   Every budget call starts from the store's orders. Each budget step is argued against the written number. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, catalogue ads and carousel first, rising to about two dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. The learning month runs with a deliberately small daily budget until orders prove the buyer. We brief creators for a steady run of UGC video, with regional-language cuts of the winners. We run every lead product in a campaign of its own, read every week.

   Why

   Spend in the learning phase pays for information. Regular UGC keeps testing going, and a regional cut stretches a winning idea further. A product nobody buys is visible within a week when it has its own campaign.

   How it works

   Spend steps up only after orders confirm at the low budget. Winning UGC is cut into regional languages before new ideas are bought. A product that does not sell is paused inside the week. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 3

   What we do

   We scale through Month 2 to Month 3 toward ₹10L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We raise budget only while return on spend holds, and cut it when return drops. We cut budgets during major marketplace sale events and move spend to narrower premium audiences.

   Why

   Across Month 2 to Month 3, the budget rises gently, while return on spend holds. In two of these months budget goes up only as far as return allows, so revenue grows more slowly than the brand's number needs. Return holds through these months because each budget step stops where return starts to slip. Marketplace sales inflate auction costs and pull price-led buyers away.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. Spend is reduced and redirected for each event window. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Month 1

   First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. Store orders and ad-platform revenue are checked side by side. The media schedule and creative brief are signed off.

   • Revenue ₹1.1L
   • ROAS 1.88x
   • Ad spend ₹55,781
2. Month 2

   The scaling phase opens: the winning UGC runs in regional-language versions. The step is sized by what return can bear: return on spend holds while budget steps up.

   • Revenue ₹1.2L
   • ROAS 1.90x
   • Ad spend ₹62,072
3. Month 3

   Products that do not sell are paused and budget moves to the winners. The step is sized by what return can bear: return on spend holds while budget holds. The case study finishes short of ₹10L: budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹1.3L
   • ROAS 1.91x
   • Ad spend ₹65,705

1. 1

   Ran CBO and ABO versions side by side to see which held cost

2. 2

   Tested each colour of the lead product in its own campaign

3. 3

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