Fashion & apparel case study: plan for ₹50,000 to ₹87,356 monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Before budget rises, get the smaller fashion store ready to convert paid traffic. Open with three documents: a website audit, a creative brief and a media plan by month. Map the festive and wedding calendar before spending, with seasonal collections ready in advance.

   Why

   A smaller fashion brand came to us to grow monthly revenue in 3 months, from ₹50,000 to ₹4L (8x). 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. Without a brief, each creative and budget decision starts from scratch. Demand in this category rises and falls with the festive calendar.

   How it works

   All three are shared with the brand's team before any budget step. Each peak has its campaign ready before it starts.

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. Set the path from ₹50,000 to ₹4L as written monthly targets, and read every review against the month so far. 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. Written targets expose a slow month while there is still time to act.

   How it works

   Every budget call starts from the store's orders. Written targets make each scaling decision explicit. 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 about two dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. The learning month runs on a small daily budget, stepping up only once orders confirm. Give each lead product its own campaign and read it weekly. Buy creative in batches and give each batch a fixed read window before buying more.

   Why

   Early spend buys learning, not scale. A product nobody buys is visible within a week when it has its own campaign. Buying more before a batch is read means paying for guesses.

   How it works

   Spend steps up only after orders confirm at the low budget. A product that does not sell is paused inside the week. Batches that do not convert are cut; winners get the budget. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Through Month 2 to Month 3, push toward ₹4L: the budget rises gently while return holds, and Instagram Reels carries the most spend and Facebook Feed the next. Recover abandoned checkouts with WhatsApp messages as traffic grows. Scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   In Month 2 to Month 3 the modelled budget rises gently, while return on spend holds. Budget is part-stepped in two of these months, taking only what return will carry. Each budget step here is sized so that return stays close to where it was. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   WhatsApp recovery runs alongside paid retargeting, not instead of it. Spend shifts into each season and between regions with the calendar. Most of the final month's spend sits on Instagram Reels, then Facebook Feed. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Month 1

   First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. The website audit, creative brief and media plan are shared. Store orders and platform revenue are reconciled in the shared sheet.

   • Projected revenue ₹51,349
   • Projected ROAS 2.02x
   • Planned ad spend ₹25,421
2. Month 2

   The scaling phase opens: budget shifts to the products that sold this period. The step is sized by what return will bear: spend steps up sharply, and return dips.

   • Projected revenue ₹77,262
   • Projected ROAS 1.93x
   • Planned ad spend ₹39,949
3. Month 3

   The seasonal collection campaign leads this period's spend mix. The step is sized by what return will bear: spend steps up, and return holds. Revenue ends below ₹4L, the target set at enquiry, because budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹87,356
   • Projected ROAS 1.95x
   • Planned ad spend ₹44,696

1. 01

   Find the buyer on a small daily budget first, then step spend up in stages.

2. 02

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

3. 03

   Tracked Meta spend, revenue and Shopify orders daily in a shared sheet