Fashion & apparel case study: plan for ₹1.5Cr to ₹3.01Cr monthly revenue in 1 year

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   The booking named marketing and social presence first, so the opening month on this large store goes there. Start with a website audit, a creative brief and a monthly media plan in the first week. Put best-sellers on product pages and lead with the one or two categories that already sell. Plan short, dated bundle sales with an awareness lead-in instead of permanent discounts.

   Why

   A large fashion store asked us how to grow monthly revenue in 1 year, from ₹1.5Cr to ₹7.5Cr (5x). 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. At booking, the brand named marketing and social presence as its main problem. A written brief gives every later budget decision a reference point. 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. Awareness ads run ahead of each short sale window.

2. 2

   Measurement & targets · Month 1 to 12

   What we'd do

   Report net sales after returns, cancellations and tax next to store revenue and platform revenue. Agree a written target for every month on the way from ₹1.5Cr to ₹7.5Cr, and start each review with the month-to-date figure against it.

   Why

   With no return on ad spend reported, the plan begins at the level measured stores of that size hold. Returns, cancellations and tax cut logged revenue, so targets are set on net sales. Written targets expose a slow month while there is still time to act.

   How it works

   Budget decisions are read off net sales, not the ad platform alone. Each budget step is argued against the written target.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and static image first, rising to well over a hundred new ads a month by the final month, 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. Commission ads in batches, and read each batch for a set window before ordering the next. Brief creators for a steady run of UGC video, with regional-language cuts of the winners.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. The read window keeps creative spending tied to evidence. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.

   How it works

   Losing products are paused within a week and budget moves to the winners. Losing batches stop; winning ads take their budget. Winning UGC is cut into regional languages before new ideas are bought. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 8

   What we'd do

   Scale through Month 2 to Month 8 as far toward ₹7.5Cr as return allows as the budget climbs in steps and return falls, with Instagram Reels taking the largest share of spend and Instagram Feed the next. Test cost caps, bid caps and CBO against ABO side by side before each budget step. Raise budget only while return on spend holds, and cut it when return drops. Recover abandoned checkouts with WhatsApp messages as traffic grows.

   Why

   Across Month 2 to Month 8, the modelled budget climbs in steps, and return on spend falls as it does. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. Parallel controls reveal which setup keeps cost per purchase down as spend grows.

   How it works

   The version that keeps cost per purchase lowest stays. Budget follows return month to month instead of a fixed ramp. 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 9 to 12

   What we'd do

   From Month 9, hold the gains and push toward ₹7.5Cr only as far as return allows. Hold targets on net sales as volume grows, since returns rise with it. Hold a creative bank and swap tired ads out before click-through falls.

   Why

   Growth slows from Month 9, still short of ₹7.5Cr. Budget keeps rising, more slowly than in the scaling months. Net sales ran below logged store revenue in our measured accounts. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early.

   How it works

   Each review opens with net sales against the target. The bank means a tired ad is replaced the week it tires.

1. Month 1

   The learning phase opens: tracking is checked against store orders and the first ads go live on a small daily budget. Net sales after returns are matched to logged revenue. The audit, brief and media plan are agreed with the brand's team.

   • Projected revenue ₹1.5Cr
   • Projected ROAS 3.95x
   • Planned ad spend ₹37.9L
2. Month 2

   The scaling phase opens: each budget move is read against the return it bought. Budget holds and return on spend holds.

   • Projected revenue ₹1.56Cr
   • Projected ROAS 3.86x
   • Planned ad spend ₹40.3L
3. Month 3

   The winning UGC runs in regional-language versions. Budget steps up and return on spend dips.

   • Projected revenue ₹1.61Cr
   • Projected ROAS 3.43x
   • Planned ad spend ₹46.8L
4. Month 4

   Bid-cap and cost-cap versions run beside open bidding. Budget holds and return on spend rises.

   • Projected revenue ₹1.78Cr
   • Projected ROAS 3.61x
   • Planned ad spend ₹49.3L
5. Month 5

   Abandoned checkouts get WhatsApp follow-ups.

   • Projected revenue ₹1.89Cr
   • Projected ROAS 3.60x
   • Planned ad spend ₹52.6L
6. Month 6

   Tired ads are refreshed from the creative bank. Budget steps up and return on spend dips.

   • Projected revenue ₹2.15Cr
   • Projected ROAS 3.26x
   • Planned ad spend ₹66L
7. Month 7

   A new batch goes live after the last one is read. Budget holds and return on spend holds.

   • Projected revenue ₹2.26Cr
   • Projected ROAS 3.23x
   • Planned ad spend ₹70.1L
8. Month 8

   The weekly product read pauses the products that are not selling. Budget steps up and return on spend dips.

   • Projected revenue ₹2.5Cr
   • Projected ROAS 2.95x
   • Planned ad spend ₹84.5L
9. Month 9

   From here the work shifts to keeping ads fresh and bringing buyers back. Budget holds and return on spend rises.

   • Projected revenue ₹2.71Cr
   • Projected ROAS 3.07x
   • Planned ad spend ₹88.2L
10. Month 10

    Budget is reviewed against return before the next step. Budget steps up and return on spend dips.

    • Projected revenue ₹2.86Cr
    • Projected ROAS 2.94x
    • Planned ad spend ₹97.5L
11. Month 11

    The winning UGC runs in regional-language versions. Budget holds and return on spend rises.

    • Projected revenue ₹2.92Cr
    • Projected ROAS 3.10x
    • Planned ad spend ₹94.1L
12. Month 12

    Bid-cap and cost-cap versions run beside open bidding. Budget holds and return on spend dips. Revenue ends below ₹7.5Cr, the target set at enquiry, because the plan follows what the fastest tenth of our measured accounts reached. Cost per purchase ends higher than in the learning phase.

    • Projected revenue ₹3.01Cr
    • Projected ROAS 2.93x
    • Planned ad spend ₹1.03Cr

1. 01

   Tracked net sales beside Shopify revenue and set targets on the lower number

2. 02

   Test bidding controls (cost caps, bid caps, CBO against ABO) side by side before scaling.

3. 03

   Pause styles with high return-to-origin and test replacement styles in their own campaigns.