Fashion & apparel case study: Up to ₹1L to ₹57,678 monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We set up the base for a smaller fashion store before any budget rises. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. 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 3 months, from Up to ₹1L to Under ₹20L (40x). 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 brand in this scenario named no single problem, so the case study starts from the numbers. Later budget calls need something written to be judged against. Lead categories give prospecting ads a proven entry point.

   How it works

   All three are shared with the brand's team before any budget step. Lead categories carry the first scaling months.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We write month-by-month revenue numbers with the brand's team that climb from Up to ₹1L to Under ₹20L, and open every review with the month-to-date number against them. 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. Written monthly numbers expose a slow month while there is still time to act.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. 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 test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with every format close to the account's return. We run every lead product in a campaign of its own, read every week. We lead with video that carries trust: creators, customer feedback and founder-led pieces. We commission ads in batches, and read each batch for a set window before ordering the next.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Trust-carrying video held return in most measured accounts. Buying more before a batch is read means paying for guesses.

   How it works

   Budget follows the products that sell. Low-quality UGC is pulled and founder-led video takes its place. Losing batches stop; winning ads take their budget. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we do

   Through Month 2 to Month 3, we push toward Under ₹20L: 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 recover abandoned checkouts with WhatsApp messages as traffic grows.

   Why

   In Month 2 to Month 3 the budget rises gently, while return on spend holds. Two of these months stop their budget step where return slips too far. Each budget step here is sized so that return stays close to where it was. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   Budget follows return month to month instead of a fixed ramp. WhatsApp recovery runs alongside paid retargeting, not instead of it. In the final month, 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. Month 1

   First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. The daily sheet now matches platform revenue to store orders. Lead categories get their own campaigns.

   • Revenue ₹49,175
   • ROAS 1.88x
   • Ad spend ₹26,137
2. Month 2

   Scaling starts: abandoned checkouts get WhatsApp follow-ups. The budget step stops where return starts to slip: budget steps up and return on spend holds.

   • Revenue ₹54,335
   • ROAS 1.87x
   • Ad spend ₹29,044
3. Month 3

   A new batch goes live after the last one is read. The budget step stops where return starts to slip: budget holds and return on spend holds. The case study finishes short of Under ₹20L: budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹57,678
   • ROAS 1.87x
   • Ad spend ₹30,877

1. 1

   Keep Video as the main format: it carried most creative spend and also reached the top creative tier most often in this industry's measured accounts.

2. 2

   Read Meta against Shopify every week

3. 3

   Meta in four layers: creative testing, scaling, mid-funnel and catalogue retargeting