Fashion & apparel case study: ₹5L–₹8L to ₹10L+ monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   The first problem is creative and content, so the opening month on this mid-sized store goes there. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We split the account into layers: one campaign to test creative, one to scale winners, prospecting that leaves out past buyers, and retargeting for carts.

   Why

   A mid-sized fashion store grows monthly revenue in 3 months, from ₹5L–₹8L to ₹10L+ (+54%). The main problem is creative and content, with a clear strategy close behind. Later budget calls need something written to be judged against. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   The brief is agreed first; spend follows it. Warm layers run beside prospecting, not instead of it.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We track ad-platform revenue beside store orders in a shared daily sheet. We check the reported return on spend against store revenue before any budget moves. We write month-by-month revenue numbers with the brand's team that climb from ₹5L–₹8L to ₹10L+, and open every review with the month-to-date number against them.

   Why

   Its reported return on ad spend is in line with what fashion stores of that size hold, so the case study starts there. The brand also asked for a return on ad spend of 5x; the case study ends below that. Return falls as budget grows, so holding that return means a smaller budget and less revenue. The ad platform's own count runs high, so the store's count is the one that moves budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. The store-side return becomes the number every review uses. Written monthly numbers make each scaling decision explicit.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to a few dozen new ads a month by the final month, when monthly revenue runs at about ₹10L+, with carousel watched closely since it returns less than the rest. We work in creative batches with a fixed read window each. We lead with video that carries trust: creators, customer feedback and founder-led pieces. We brief creators for a steady run of UGC video, with regional-language cuts of the winners.

   Why

   A fixed window stops spend chasing a creative before it has been read. Trust-carrying video held return in most of our accounts. A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea.

   How it works

   Only ads that convert inside the window keep running. UGC that underperforms is replaced by founder-led video, not given more budget. Winning UGC is cut into regional languages before new ideas are bought. 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 ₹10L+ as the budget climbs in steps and return falls, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We run cost caps, bid caps, CBO and ABO as parallel versions before budget steps up. We raise budget only while return on spend holds, and cut it when return drops.

   Why

   In Month 2 to Month 3 the budget climbs in steps, and return on spend falls as it does. Our accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. Controls show which setup holds cost per purchase as spend rises.

   How it works

   The version that keeps cost per purchase lowest stays. Budget follows return month to month instead of a fixed ramp. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Month 1

   First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. Testing, scaling and retargeting now run as separate layers. The media schedule and creative brief are signed off.

   • Revenue ₹6.4L
   • ROAS 2.72x
   • Ad spend ₹2.4L
2. Month 2

   Scaling starts: new creator and customer-feedback videos join the account. Return on spend dips while budget steps up. Revenue is now past halfway from ₹5L–₹8L to ₹10L+.

   • Revenue ₹8.5L
   • ROAS 2.60x
   • Ad spend ₹3.3L
3. Month 3

   Regional-language cuts of the winning UGC go live. Return on spend falls while budget steps up. The case study reaches ₹10L+. Each order costs more by the end than it did while learning. The final return on spend is below the 5x the brand set.

   • Revenue ₹10.3L
   • ROAS 2.28x
   • Ad spend ₹4.5L

1. 1

   SEO alongside: product titles, collection copy, feed and technical audit

2. 2

   Tested products one by one, each in its own campaign

3. 3

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