Fashion & apparel case study: plan for ₹3L to ₹3.5L monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we'd do

   The booking named keeping return on spend while scaling first, so the opening week on this smaller store goes there. Build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting 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 2 months, from ₹3L to ₹10L (3.3x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan aims at that fastest tenth's pace, holds budget where return would slip, and shows where it lands against the target. At booking, the brand named keeping return on spend while scaling as its main problem, with scaling ad spend close behind. Without layers, retargeting quietly eats the prospecting budget. Lead categories give prospecting ads a proven entry point.

   How it works

   Retargeting sits next to prospecting and never replaces it. Lead categories carry the first scaling months.

2. 2

   Measurement & targets · Week 1 to 9

   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 week on the way from ₹3L to ₹10L, and start each review with the week-to-date figure against it. Raise budget in a week 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 weeks lift return before any budget step. 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. The target for the week is on the page at every review. A week whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Week 1 to 4

   What we'd do

   Test with video, catalogue ads and static image first, rising to about two dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. Run every lead product in a campaign of its own, read every week. The four learning weeks run with a deliberately small daily budget until orders prove the buyer. Run static images next to the video ads.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Early spend buys learning, not scale. In measured fashion accounts, video reached the top creative tier most often.

   How it works

   Losing products are paused within a week and budget moves to the winners. Only confirmed orders at the low budget unlock the next step. Statics are added after a video wins. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Week 5 to 9

   What we'd do

   Through Week 5 to Week 9, push as far toward ₹10L as return allows: the budget rises gently and return dips, and Instagram Reels carries the most spend and Instagram Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. Cut budgets during major marketplace sale events and move spend to narrower premium audiences.

   Why

   Across Week 5 to Week 9, the modelled budget rises gently, and return on spend dips. In three of these weeks the step is trimmed to the size return can hold. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. Marketplace sales inflate auction costs and pull price-led buyers away.

   How it works

   Budget follows return week to week instead of a fixed ramp. Spend is reduced and redirected for each event window. Instagram Reels carries the largest share of spend in the last four weeks, with Instagram Feed next. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

1. Week 1

   First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. Testing, scaling and retargeting now run as separate layers. Lead categories get their own campaigns.

   • Projected revenue ₹68,515
   • Projected ROAS 1.98x
   • Planned ad spend ₹34,599
2. Week 2

   First creative read: ads that do not convert are cut. Return holds as the budget holds.

   • Projected revenue ₹69,275
   • Projected ROAS 1.94x
   • Planned ad spend ₹35,718
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Projected revenue ₹67,935
   • Projected ROAS 2.05x
   • Planned ad spend ₹33,151
4. Week 4

   The learning phase ends with a buyer identified and a winning ad chosen. Return dips as the budget steps up.

   • Projected revenue ₹72,346
   • Projected ROAS 1.96x
   • Planned ad spend ₹36,964
5. Week 5

   The scaling phase opens: budget shifts to the products that sold this period. Return holds as the budget holds.

   • Projected revenue ₹71,637
   • Projected ROAS 1.92x
   • Planned ad spend ₹37,382
6. Week 6

   The budget decision is taken on the return the last step earned.

   • Projected revenue ₹80,083
   • Projected ROAS 1.99x
   • Planned ad spend ₹40,188
7. Week 7

   During a marketplace sale window, spend moves to narrower premium audiences. The step is sized by what return will bear: return dips as the budget steps up.

   • Projected revenue ₹85,205
   • Projected ROAS 1.91x
   • Planned ad spend ₹44,616
8. Week 8

   Static images are tested beside the winning video. The step is sized by what return will bear: return holds as the budget holds.

   • Projected revenue ₹89,568
   • Projected ROAS 1.93x
   • Planned ad spend ₹46,525
9. Week 9

   Products that do not sell are paused and budget moves to the winners. The step is sized by what return will bear: return holds as the budget holds. Revenue ends below ₹10L, the target set at enquiry, because budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹94,520
   • Projected ROAS 1.88x
   • Planned ad spend ₹50,186

1. 01

   SEO alongside: product titles, collection copy, feed and technical audit

2. 02

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

3. 03

   Store revenue per rupee of ad spend fell from 8.2x to 5.5x as monthly spend nearly doubled