Fashion & apparel case study: plan for ₹1L to ₹1.2L monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   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 3 months, from ₹1L to ₹30L (30x). 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 audit, the brief and the media plan are shared before spend rises. Lead categories carry the first scaling months.

2. 2

   Measurement & targets · Month 1 to 3

   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 to ₹30L, 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

   Its reported return on ad spend is too low for more budget to pay, so the first months lift return before any budget step. Ad platforms claim more orders than stores record, so the store number decides budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   Every budget call starts from the store's orders. Each budget step is argued against the written target. 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 static image 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. The learning month runs with a deliberately small daily budget until orders prove the buyer. Run every lead product in a campaign of its own, read every week. Lead with video that carries trust: creators, customer feedback and founder-led pieces.

   Why

   Early spend buys learning, not scale. Shared campaigns hide weak products; separate ones expose them fast. Trust-carrying video held return in most measured accounts.

   How it works

   Spend steps up only after orders confirm at the low budget. Budget follows the products that sell. Low-quality UGC is pulled and founder-led video takes its place. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Scale through Month 2 to Month 3 toward ₹30L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Feed the next. Put seasonal collection campaigns in front of each festive and wedding peak. Let return decide budget: more while it holds, less when it slips.

   Why

   Across Month 2 to Month 3, the modelled budget rises gently, while return on spend holds. Two of these months stop their budget step where return would slip too far. Return holds through these months because each budget step stops where return would slip. Seasonal demand moves by region, so the spend does too.

   How it works

   Budget moves between regions as the calendar turns. Budget follows return month to month instead of a fixed ramp. Instagram Reels carries the largest share of spend in the final month, with Facebook Feed next. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

1. Month 1

   First, the set-up: 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. Lead categories get their own campaigns.

   • Projected revenue ₹1L
   • Projected ROAS 1.92x
   • Planned ad spend ₹52,141
2. Month 2

   Scaling begins: budget is reviewed against return before the next step. The step is sized by what return will bear: with budget holds, return on spend holds.

   • Projected revenue ₹1.1L
   • Projected ROAS 1.95x
   • Planned ad spend ₹56,737
3. Month 3

   The weekly product read pauses the products that are not selling. The step is sized by what return will bear: with budget steps up, return on spend holds. The plan finishes short of ₹30L: budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹1.2L
   • Projected ROAS 1.88x
   • Planned ad spend ₹64,972

1. 01

   Ran CBO and ABO versions side by side to see which held cost

2. 02

   Scaling spend raised cost per order and lowered return on spend.

3. 03

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