Fashion & apparel case study: plan for ₹2L to ₹2.5L monthly revenue in 4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Aim the first month at marketing and social presence, the problem named at booking, on a smaller base. Open with three documents: a website audit, a creative brief and a media plan by month. Put best-sellers on product pages and lead with the one or two categories that already sell.

   Why

   A smaller fashion store asked us how to grow monthly revenue in 4 months, from ₹2L to ₹10L (5x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the plan aims at the fastest tenth's pace, holds budget where return would slip, and shows the gap to the target honestly. The problem named at booking was marketing and social presence. 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 · Month 1 to 4

   What we'd do

   Agree a written target for every month on the way from ₹2L to ₹10L, and start each review with the month-to-date figure against it. Track ad-platform revenue beside store orders in a shared daily sheet. Raise budget in a month only while return holds; where it would slip too far, hold it.

   Why

   It did not report a return on ad spend, so the plan starts from what measured fashion stores of that size hold. A missed month shows up early instead of at the end of the plan. Platform attribution over-counts, so budget decisions sit on the store-side number.

   How it works

   Each budget step is argued against the written target. Every budget call starts from the store's orders. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and carousel first, rising to about two dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Brief creators for a steady run of UGC video, with regional-language cuts of the winners. The learning month runs on a small daily budget, stepping up only once orders confirm. Separate the lead products into their own campaigns and review each one weekly.

   Why

   A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Early spend buys learning, not scale. A product nobody buys is visible within a week when it has its own campaign.

   How it works

   Regional cuts of a winner come before new ideas. Spend steps up only after orders confirm at the low budget. Losing products are paused within a week and budget moves to the winners. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Through Month 2 to Month 3, push as far toward ₹10L as return allows: the budget rises gently while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. Put seasonal collection campaigns in front of each festive and wedding peak. Cut budgets during major marketplace sale events and move spend to narrower premium audiences.

   Why

   Across Month 2 to Month 3, the modelled budget rises gently, while return on spend holds. Budget is part-stepped in two of these months, taking only what return will carry. Each budget step here is sized so that return stays close to where it was. Seasonal demand moves by region, so the spend does too.

   How it works

   Spend shifts into each season and between regions with the calendar. Spend is reduced and redirected for each event window. 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.

5. 5

   Steady state · Month 4

   What we'd do

   From Month 4, protect the revenue already built and move toward ₹10L where return permits. Recover abandoned checkouts and lift repeat orders with WhatsApp messages. Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.

   Why

   Growth slows from Month 4, still short of ₹10L. Spend still grows, at a slower pace than during scaling. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout. Season-specific pages convert season traffic better than the default collection.

   How it works

   Messages run beside retargeting ads. The seasonal page is requested before the season, with the catalogue campaign.

1. Month 1

   The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. The daily sheet now matches platform revenue to store orders. The media plan and creative brief are signed off.

   • Projected revenue ₹2L
   • Projected ROAS 1.90x
   • Planned ad spend ₹1.1L
2. Month 2

   Scaling starts: the seasonal landing page is briefed ahead of the peak. Budget goes up only as far as return can carry it: return rises as the budget holds.

   • Projected revenue ₹2.2L
   • Projected ROAS 1.99x
   • Planned ad spend ₹1.1L
3. Month 3

   Budget shifts to the products that sold this period.

   • Projected revenue ₹2.3L
   • Projected ROAS 1.95x
   • Planned ad spend ₹1.2L
4. Month 4

   Steady phase begins: creative refresh and repeat orders take on more of the work. Budget goes up only as far as return can carry it: return holds as the budget holds. The plan finishes short of ₹10L: budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹2.5L
   • Projected ROAS 1.94x
   • Planned ad spend ₹1.3L

1. 01

   Track ad-platform revenue beside store revenue (and net sales) daily or weekly, and set targets on the lower number.

2. 02

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

3. 03

   Cut budgets during major marketplace sale events and move spend to narrower premium audiences.