Fashion & apparel case study: plan for ₹15,000 to ₹20,793 monthly revenue in 6 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

   A smaller fashion brand came to us to grow monthly revenue in 6 months, from ₹15,000 to ₹5L (33.3x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the plan is built on what the fastest tenth reached, and shows the gap to the target honestly. No single problem was named at booking; the plan works from the figures instead. A written brief gives every later budget decision a reference point. 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 6

   What we'd do

   Log store orders every day beside what the ad platform claims. Write month-by-month targets with the brand's team that climb from ₹15,000 to ₹5L, and open every review with the month-to-date number against them. Raise budget in a month only while return holds; where it would slip too far, hold it.

   Why

   The return on ad spend it reported is below the level where raising budget pays for a store of that size, so budget does not rise until return climbs. 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

   Every budget call starts from the store's orders. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   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 final month, with every format close to the account's return. Separate the lead products into their own campaigns and review each one weekly. The learning month runs on a small daily budget, stepping up only once orders confirm. 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. Early spend buys learning, not scale. A fixed window stops spend chasing a creative before it has been read.

   How it works

   Losing products are paused within a week and budget moves to the winners. Spend steps up only after orders confirm at the low budget. Only ads that convert inside the window keep running. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Scale through Month 2 to Month 4 toward ₹5L as the budget rises gently and return dips, with Instagram Reels taking the largest share of 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 4, the modelled budget rises gently, and return on spend dips. In three of these months budget goes up only as far as return allows, so revenue grows more slowly than the target needs. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. 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. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. 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 ₹5L only as far as return allows. Keep a bank of ready creatives and rotate them in as ads tire. Use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   Growth slows from Month 5, still short of ₹5L. Spend holds roughly steady from here. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. A message to someone who nearly bought costs less than an ad.

   How it works

   The bank means a tired ad is replaced the week it tires. WhatsApp runs alongside paid retargeting, not instead of it.

1. Month 1

   Learning month: tracking is checked against store orders and the first ads go live on a small daily budget. The daily sheet now matches platform revenue to store orders. The audit, brief and media plan are agreed with the brand's team.

   • Projected revenue ₹15,342
   • Projected ROAS 2.01x
   • Planned ad spend ₹7,632
2. Month 2

   Scaling begins: this batch's read is done: winners stay, the rest are cut. Budget rises to the point where return would start to give way: with budget steps up, return on spend dips.

   • Projected revenue ₹16,854
   • Projected ROAS 1.89x
   • Planned ad spend ₹8,940
3. Month 3

   Tired ads are refreshed from the creative bank. Budget rises to the point where return would start to give way: with budget holds, return on spend holds.

   • Projected revenue ₹19,078
   • Projected ROAS 1.95x
   • Planned ad spend ₹9,759
4. Month 4

   Products that do not sell are paused and budget moves to the winners.

   • Projected revenue ₹19,840
   • Projected ROAS 1.86x
   • Planned ad spend ₹10,672
5. Month 5

   The plan moves into its steady phase, leaning on refreshed ads and repeat buyers.

   • Projected revenue ₹19,926
   • Projected ROAS 1.92x
   • Planned ad spend ₹10,388
6. Month 6

   Past buyers get a WhatsApp nudge for their next order. Budget rises to the point where return would start to give way: with budget holds, return on spend holds. Revenue ends below ₹5L, the target set at enquiry, because budget stops rising where return would slip. Cost per purchase ends close to the learning phase.

   • Projected revenue ₹20,793
   • Projected ROAS 1.90x
   • Planned ad spend ₹10,957

1. 01

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

2. 02

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

3. 03

   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.