Fashion & apparel case study: ₹10,000 to ₹17,420 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 open with three documents: a website audit, a creative brief and a media schedule by month. 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 3 months, from ₹10,000 to ₹5L (50x). 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 marketing and social presence. A written brief gives every later budget decision a reference point. Every rupee of ads is capped by how well the store turns visits into orders.

   How it works

   All three are shared with the brand's team before any budget step. The fix list goes to the brand's team in the opening weeks, ahead of any budget step.

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 ₹10,000 to ₹5L 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. The ad platform's own count runs high, so the store's count is the one that moves 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. Written monthly numbers make each scaling decision explicit. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to a handful of new ads a month by the final month, with every format close to the account's return. We brief creators for a steady run of UGC video, with regional-language cuts of the winners. We give each lead product its own campaign and read it weekly. We commission ads in batches, and read each batch for a set window before ordering the next.

   Why

   A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Products that do not sell show up inside a week, not after a month of shared budget. Buying more before a batch is read means paying for guesses.

   How it works

   Winning UGC is cut into regional languages before new ideas are bought. A product that does not sell is paused inside the week. Losing batches stop; winning ads take their budget. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we do

   We scale through Month 2 to Month 3 toward ₹5L as the budget rises gently while return holds, with Facebook Feed taking the largest share of spend and Instagram Reels the next. We raise budget only while return on spend holds, and cut it when return drops. We scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   In Month 2 to Month 3 the budget rises gently, while return on spend holds. Budget is part-stepped in two of these months, taking only what return can carry. Each budget step here is sized so that return stays close to where it was. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   Each month's budget is set by the return the last one earned. Spend shifts into each season and between regions with the calendar. In the final month, Facebook Feed takes the most spend and Instagram Reels the next most. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

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. Store orders and platform revenue are reconciled in the shared sheet.

   • Revenue ₹10,023
   • ROAS 1.86x
   • Ad spend ₹5,382
2. Month 2

   The scaling phase opens: the seasonal collection campaign leads this period's spend mix. The step is sized by what return can bear: spend steps up, and return holds.

   • Revenue ₹14,135
   • ROAS 1.93x
   • Ad spend ₹7,323
3. Month 3

   The winning UGC runs in regional-language versions. The step is sized by what return can bear: spend steps up, and return holds. ₹5L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹17,420
   • ROAS 1.92x
   • Ad spend ₹9,077

1. 1

   Raise budget only while return on spend holds; cut it when return drops.

2. 2

   Tracked Meta spend, revenue and Shopify orders daily in a shared sheet

3. 3

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