Fashion & apparel case study: plan for ₹2L–₹2.5L to ₹2L monthly revenue in 1 month

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we'd do

   Set up the base for a smaller fashion store before any budget rises. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Put best-sellers on product pages and lead with the one or two categories that already sell.

   Why

   The enquiry came from a smaller fashion brand that wants to grow monthly revenue in 1 month, from ₹2L–₹2.5L to ₹7L–₹8L (3.3x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. No single problem was named at booking; the plan works from the figures instead. Later budget calls need something written to be judged against. Lead categories give prospecting ads a proven entry point.

   How it works

   The brief is agreed first; spend follows it. Lead categories carry the first scaling months.

2. 2

   Measurement & targets · Week 1 to 4

   What we'd do

   Keep a shared daily sheet with the ad platform's revenue next to real store orders. Set the path from ₹2L–₹2.5L to ₹7L–₹8L as written weekly targets, and read every review against the week so far.

   Why

   With no return on ad spend reported, the plan begins at the level measured fashion stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written targets expose a slow week while there is still time to act.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. Each budget step is argued against the written target.

3. 3

   Creative testing · Week 1 to 4

   What we'd do

   Lead the testing layer with video, catalogue ads and static image, building to about a dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. The four learning weeks run with a deliberately small daily budget until orders prove the buyer. Work in creative batches with a fixed read window each. Lead with video that carries trust: creators, customer feedback and founder-led pieces.

   Why

   Early spend buys learning, not scale. Buying more before a batch is read means paying for guesses. Video built on trust was the format that held return in most measured accounts.

   How it works

   Spend steps up only after orders confirm at the low budget. Losing batches stop; winning ads take their budget. UGC that underperforms is replaced by founder-led video, not given more budget. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Week 4

   What we'd do

   Scale through Week 4 toward ₹7L–₹8L as the budget stays close to the learning level while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. Recover abandoned checkouts with WhatsApp messages as traffic grows.

   Why

   Across Week 4, the modelled budget stays close to the learning level, while return on spend holds. 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

   There is no fixed ramp; each week's budget follows the return of the last. WhatsApp recovery runs alongside paid retargeting, not instead of it. Most of the last four weeks's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Week 1

   Learning starts: a small daily budget carries the first ads, and store orders are matched to tracking. The media plan and creative brief are signed off. Lead categories get their own campaigns.

   • Projected revenue ₹49,753
   • Projected ROAS 1.89x
   • Planned ad spend ₹26,295
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. Return on spend holds while budget holds.

   • Projected revenue ₹48,713
   • Projected ROAS 1.88x
   • Planned ad spend ₹25,931
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Projected revenue ₹51,634
   • Projected ROAS 1.91x
   • Planned ad spend ₹27,091
4. Week 4

   Learning phase closes: the buyer found and the winning creative picked. Return on spend holds while budget holds. The plan finishes short of ₹7L–₹8L: budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹52,478
   • Projected ROAS 1.92x
   • Planned ad spend ₹27,338

1. 01

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

2. 02

   Cut budgets during a major marketplace sale and moved spend to niche premium audiences

3. 03

   Tracked net sales beside Shopify revenue and set targets on the lower number