Fashion & apparel case study: plan for ₹1L–₹2L+ to ₹2L monthly revenue in 3–6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Aim the first month at scaling ad spend, the problem named at booking, on a smaller base. Layer the account: a creative-testing campaign, a scaling campaign, cold audiences that exclude past buyers, and cart retargeting. Put best-sellers on product pages and lead with the one or two categories that already sell.

   Why

   A smaller fashion brand came to us to grow monthly revenue in 3–6 months, from ₹1L–₹2L+ to ₹6L–₹7L (4.3x). 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 main problem named at booking was scaling ad spend, followed by a clear strategy. Separate layers stop prospecting and retargeting competing for the same budget. Lead categories give prospecting ads a proven entry point.

   How it works

   Warm layers run beside prospecting, not instead of it. Lead categories carry the first scaling months.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Keep a shared daily sheet with the ad platform's revenue next to real store orders. Agree a written target for every month on the way from ₹1L–₹2L+ to ₹6L–₹7L, and start each review with the month-to-date figure against it. Raise budget in a month only while return holds; where it would slip too far, hold it.

   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. A shortfall is caught in the month it happens, not at the end.

   How it works

   The sheet is read before each budget change. The target for the month is on the page at every review. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and static image first, rising to a few dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. Give each lead product its own campaign and read it weekly. The learning month runs at a low daily budget and moves up only when orders come through. 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. Spend in the learning phase pays for information. A fixed window stops spend chasing a creative before it has been read.

   How it works

   Budget follows the products that sell. The low budget stays until orders confirm the buyer. Only ads that convert inside the window keep running. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Through Month 2 to Month 4, push as far toward ₹6L–₹7L 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. Recover abandoned checkouts with WhatsApp messages as traffic grows.

   Why

   In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. In three of these months the step is trimmed to the size return can hold. Return holds through these months because each budget step stops where return would slip. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   Spend shifts into each season and between regions with the calendar. 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.

5. 5

   Steady state · Month 5 to 6

   What we'd do

   From Month 5, hold the gains and push toward ₹6L–₹7L only as far as return allows. Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak. Refresh tired ads by mixing old and new creatives, and keep a creative bank.

   Why

   Growth slows from Month 5, still short of ₹6L–₹7L. Spend holds roughly steady from here. Season-specific pages convert season traffic better than the default collection. In one account we measured, click-through fell before revenue did; refresh is how that is avoided.

   How it works

   The seasonal page is requested before the season, with the catalogue campaign. Refreshes are gradual: a few new ads at a time.

1. Month 1

   The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. Lead categories get their own campaigns. The daily sheet now matches platform revenue to store orders.

   • Projected revenue ₹1.5L
   • Projected ROAS 1.90x
   • Planned ad spend ₹79,572
2. Month 2

   The scaling phase opens: the creative batch is read and the winners keep the budget. Budget goes up only as far as return can carry it: spend steps up, and return holds.

   • Projected revenue ₹1.8L
   • Projected ROAS 1.87x
   • Planned ad spend ₹93,692
3. Month 3

   Ads with falling click-through are swapped from the bank. Budget goes up only as far as return can carry it: spend holds, and return holds.

   • Projected revenue ₹1.8L
   • Projected ROAS 1.90x
   • Planned ad spend ₹96,980
4. Month 4

   The weekly product read pauses the products that are not selling.

   • Projected revenue ₹1.9L
   • Projected ROAS 1.89x
   • Planned ad spend ₹1L
5. Month 5

   Steady phase begins: creative refresh and repeat orders take on more of the work.

   • Projected revenue ₹1.9L
   • Projected ROAS 1.91x
   • Planned ad spend ₹1L
6. Month 6

   A seasonal collection campaign takes a larger share of budget. With return short of where a budget step pays, spend holds, and return holds. The plan finishes short of ₹6L–₹7L: budget stops rising where return would slip. Cost per purchase ends close to the learning phase.

   • Projected revenue ₹2L
   • Projected ROAS 1.97x
   • Planned ad spend ₹1L

1. 01

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

2. 02

   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.

3. 03

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