Fashion & apparel case study: ₹25,000 to ₹23,381 monthly revenue in 1 month

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   We focus the first week on marketing and social presence, the brand’s main problem, on a smaller base. We open with three documents: a website audit, a creative brief and a media schedule by month. 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 ₹25,000 to ₹1L (4x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the case study is built on what the fastest tenth reached, and shows the gap to the agreed number honestly. The main problem was marketing and social presence. A written brief gives every later budget decision a reference point. Lead categories give prospecting ads a proven entry point.

   How it works

   The audit, the brief and the media schedule are shared before spend rises. Lead categories carry the first scaling months.

2. 2

   Measurement & reviews · Week 1 to 4

   What we do

   We log store orders every day beside what the ad platform claims. We agree a written number for every week on the way from ₹25,000 to ₹1L, and start each review with the week-to-date figure against it.

   Why

   With no return on ad spend reported, the case study begins at the level 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. Written monthly numbers expose a slow week while there is still time to act.

   How it works

   The sheet is read before each budget change. Each budget step is argued against the written number.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the last four weeks, with every format close to the account's return. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages. We lead with video that carries trust: creators, customer feedback and founder-led pieces. We give each lead product its own campaign and read it weekly.

   Why

   A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Video built on trust was the format that held return in most measured accounts. Shared campaigns hide weak products; separate ones expose them fast.

   How it works

   Regional cuts of a winner come before new ideas. Low-quality UGC is pulled and founder-led video takes its place. Losing products are paused within a week and budget moves to the winners. 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

   Through Week 4, we push toward ₹1L: the budget stays close to the learning level while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. We scale into the festive and wedding calendar with seasonal collection campaigns. We raise budget only while return on spend holds, and cut it when return drops.

   Why

   In 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. Seasonal demand moves by region, so the spend does too.

   How it works

   Spend shifts into each season and between regions with the calendar. Each week's budget is set by the return the last one earned. In the last four weeks, Instagram Reels takes the most spend and Instagram Feed the next most. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Week 1

   First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. The audit, brief and media schedule are agreed with the brand's team. The daily sheet now matches platform revenue to store orders.

   • Revenue ₹5,903
   • ROAS 2.09x
   • Ad spend ₹2,826
2. Week 2

   First creative read: ads that do not convert are cut. With budget holds, return on spend dips.

   • Revenue ₹5,633
   • ROAS 2.00x
   • Ad spend ₹2,820
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Revenue ₹5,964
   • ROAS 2.08x
   • Ad spend ₹2,868
4. Week 4

   The learning phase ends with a buyer identified and a winning ad chosen. With budget holds, return on spend holds. Revenue ends below ₹1L, the number this scenario calls for, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹5,881
   • ROAS 2.01x
   • Ad spend ₹2,923

1. 1

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

2. 2

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

3. 3

   Rebuilt the account: a new-audience campaign excluding past audiences, past-buyer retargeting, one campaign per winning product