Fashion & apparel case study: ₹50,000 to ₹62,034 monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   Before budget rises, we get the smaller fashion store ready to convert paid traffic. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. Before budget rises, we close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

   Why

   In this case study, a smaller fashion brand grows monthly revenue in 6 months, from ₹50,000 to ₹10L (20x). That is faster than nine in ten of our measured accounts grew over the same time, so the case study below is on what that fastest tenth reached and shows where it lands against the number this scenario calls for. No single problem was named; the case study works from the figures instead. Later budget calls need something written to be judged against. Every rupee of ads is capped by how well the store turns visits into orders.

   How it works

   The brief is agreed first; spend follows it. Site fixes are handed over in the first weeks, before budget rises.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We track ad-platform revenue beside store orders in a shared daily sheet. We set the path from ₹50,000 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

   No starting return on ad spend was given; the starting return is what measured fashion stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides 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. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with no format far behind the account's return. We run every lead product in a campaign of its own, read every week. The learning month runs on a small daily budget, stepping up only once orders confirm. We run static images next to the video ads.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. Among the fashion accounts we measured, video was the format most often in the top creative tier.

   How it works

   Budget follows the products that sell. Spend steps up only after orders confirm at the low budget. Statics join once a winning video is found. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we do

   Through Month 2 to Month 4, we push toward ₹10L: the budget rises gently while return holds, and Instagram Reels carries the most 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 scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   In Month 2 to Month 4 the budget rises gently, while return on spend holds. Three of these months stop their budget step where return slips too far. Return holds through these months because each budget step stops where return starts to slip. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. Budget moves between regions as the calendar turns. In the final month, Instagram Reels takes the most spend and Instagram Feed the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

5. 5

   Steady state · Month 5 to 6

   What we do

   From Month 5, we protect the revenue already built and move toward ₹10L where return permits. We keep a bank of ready creatives and rotate them in as ads tire. We ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.

   Why

   From Month 5 growth slows while revenue is still under ₹10L. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. Season-specific pages convert season traffic better than the default collection.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. The seasonal page is requested before the season, with the catalogue campaign.

1. Month 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. Reviews, trust pointers and the prepaid incentive are now on the store.

   • Revenue ₹49,927
   • ROAS 1.89x
   • Ad spend ₹26,455
2. Month 2

   Scaling begins: the seasonal landing page is briefed ahead of the peak. Budget rises to the point where return starts to give way: spend holds, and return holds.

   • Revenue ₹54,949
   • ROAS 1.93x
   • Ad spend ₹28,524
3. Month 3

   The budget decision is taken on the return the last step earned.

   • Revenue ₹57,126
   • ROAS 1.92x
   • Ad spend ₹29,788
4. Month 4

   A seasonal collection campaign takes a larger share of budget.

   • Revenue ₹59,863
   • ROAS 1.92x
   • Ad spend ₹31,252
5. Month 5

   From here the work shifts to keeping ads fresh and bringing buyers back.

   • Revenue ₹61,321
   • ROAS 1.91x
   • Ad spend ₹32,161
6. Month 6

   Statics go live next to the winning video. Budget rises to the point where return starts to give way: spend holds, and return 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 ₹62,034
   • ROAS 1.93x
   • Ad spend ₹32,090

1. 1

   We ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.

2. 2

   Read Meta against Shopify every week

3. 3

   Store revenue per rupee of ad spend fell from 8.2x to 5.5x as monthly spend nearly doubled