Fashion & apparel case study: ₹20,000 to ₹25,056 monthly revenue in 7 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We start with reaching new buyers, which the brand in this scenario named first, before anything else on this smaller store. We run short, dated bundle sales with an awareness lead-in instead of permanent discounts. We map the festive and wedding calendar before spending, with seasonal collections ready in advance. 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 7 months, from ₹20,000 to ₹6L+ (30x). 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. The main problem was reaching new buyers. A dated offer concentrates demand without training buyers to wait for a sale. Demand in this category rises and falls with the festive calendar.

   How it works

   Awareness ads run ahead of each short sale window. Seasonal campaigns are prepared ahead of each peak. Site fixes are handed over in the first weeks, before budget rises.

2. 2

   Measurement & reviews · Month 1 to 7

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We agree a written number for every month on the way from ₹20,000 to ₹6L+, and start each review with the month-to-date figure against it. We raise budget in a month only while return holds; where it slips too far, we hold 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 missed month shows up early instead of at the end of the case study.

   How it works

   Every budget call starts from the store's orders. The month's number is on the page at every review. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   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 final month, with no format far behind the account's return. We lead with video that carries trust: creators, customer feedback and founder-led pieces. The learning month runs at a low daily budget and moves up only when orders come through. We run every lead product in a campaign of its own, read every week.

   Why

   Video built on trust was the format that held return in most measured accounts. Early spend buys learning, not scale. Shared campaigns hide weak products; separate ones expose them fast.

   How it works

   Low-quality UGC is pulled and founder-led video takes its place. The low budget stays until orders confirm the buyer. Losing products are paused within a week and budget moves to the winners. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 5

   What we do

   We scale through Month 2 to Month 5 toward ₹6L+ as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. Once purchases are steady, we add lookalikes of past buyers next to broad prospecting. We put seasonal collection campaigns in front of each festive and wedding peak. We let return decide budget: more while it holds, less when it slips.

   Why

   Across Month 2 to Month 5, the budget rises gently, while return on spend holds. In four of these months budget goes up only as far as return allows, so revenue grows more slowly than the agreed number needs. Each budget step here is sized so that return stays close to where it was. The people who already bought describe the next buyer best.

   How it works

   Lookalikes are read against broad on the same creative. Spend shifts into each season and between regions with the calendar. Budget follows return month to month instead of a fixed ramp. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 6 to 7

   What we do

   From Month 6, we protect the revenue already built and move toward ₹6L+ where return permits. We ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak. We build lookalikes from repeat buyers and retarget past buyers with new arrivals.

   Why

   Growth slows from Month 6, still short of ₹6L+. Spend holds roughly steady from here. Season-specific pages convert season traffic better than the default collection. An order from a returning buyer costs the least.

   How it works

   The seasonal page is requested before the season, with the catalogue campaign. Past buyers see new arrivals before anyone else.

1. Month 1

   The learning phase opens: tracking is checked against store orders and the first ads go live on a small daily budget. Awareness ads open ahead of a short bundle sale. The daily sheet now matches platform revenue to store orders.

   • Revenue ₹20,694
   • ROAS 1.88x
   • Ad spend ₹11,010
2. Month 2

   Scaling begins: products that do not sell are paused and budget moves to the winners. Budget rises to the point where return starts to give way: spend holds, and return holds.

   • Revenue ₹22,066
   • ROAS 1.92x
   • Ad spend ₹11,477
3. Month 3

   Budget is reviewed against return before the next step. Budget rises to the point where return starts to give way: spend steps up, and return holds.

   • Revenue ₹23,951
   • ROAS 1.88x
   • Ad spend ₹12,743
4. Month 4

   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 ₹24,701
   • ROAS 1.87x
   • Ad spend ₹13,188
5. Month 5

   A seasonal collection campaign takes a larger share of budget.

   • Revenue ₹25,552
   • ROAS 1.89x
   • Ad spend ₹13,542
6. Month 6

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

   • Revenue ₹25,746
   • ROAS 1.90x
   • Ad spend ₹13,521
7. Month 7

   Lookalikes of past buyers are added beside broad prospecting. Budget rises to the point where return starts to give way: spend holds, and return holds. ₹6L+ is not reached in the time, because budget stops rising where return starts to slip. Each order costs more by the end than it did while learning.

   • Revenue ₹25,056
   • ROAS 1.89x
   • Ad spend ₹13,234

1. 1

   Run short bundle sales with an awareness lead-in rather than permanent discounts.

2. 2

   Give each product (or colour) its own campaign, read weekly, and move budget to the winner.

3. 3

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