Fashion & apparel case study: ₹2L to ₹2.4L monthly revenue in 2–3 months
Case study
Month by month
Revenue by month
| Month | Phase | Ad spend | Revenue | ROAS | Purchases | Cost per purchase |
|---|---|---|---|---|---|---|
| Start | – | – | ₹2L | – | – | – |
| Month 1 | Learning | ₹1,06,620 | ₹2,02,316 | 1.90x | 132 | ₹808 |
| Month 2 | Scaling | ₹1,21,834 | ₹2,26,228 | 1.86x | 149 | ₹818 |
| Month 3 | Scaling | ₹1,25,869 | ₹2,43,143 | 1.93x | 157 | ₹802 |
| Total | ₹3,54,323 | ₹6,71,687 | 1.90x | 438 | ₹809 |
Funnel
Funnel, first view to purchase month 3
- Impressions11,09,023
- Link clicks22,4252.02% of impressions
- Landing-page views16,13971.97% of link clicks1.455% of impressions
- Added to cart1,1697.24% of landing-page views0.105% of impressions
- Checkout started46239.52% of added to cart0.042% of impressions
- Purchases15733.98% of checkout started0.014% of impressions
0.014% of impressions became purchases
Mix
Where the budget goes month 3
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| ₹85,512 | 67.9% | 109 | 1.97x | ₹785 | |
| ₹38,397 | 30.5% | 45 | 1.84x | ₹853 | |
| Audience Network | ₹1,960 | 1.6% | 3 | 2.05x | ₹653 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Instagram Reels | ₹38,901 | 30.9% | 50 | 1.98x | ₹778 |
| Instagram Feed | ₹28,315 | 22.5% | 38 | 2.09x | ₹745 |
| Facebook Feed | ₹23,550 | 18.7% | 28 | 1.82x | ₹841 |
| Instagram Stories | ₹18,296 | 14.5% | 21 | 1.76x | ₹871 |
| Facebook Reels | ₹11,324 | 9.0% | 13 | 1.81x | ₹871 |
| Audience Network | ₹1,960 | 1.6% | 3 | 2.05x | ₹653 |
| Facebook Stories | ₹1,929 | 1.5% | 2 | 2.05x | ₹964 |
| Facebook Video | ₹1,594 | 1.3% | 2 | 2.05x | ₹797 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹1,01,611 | 80.7% | 124 | 1.90x | ₹819 |
| Retargeting (warm audiences) | ₹11,317 | 9.0% | 16 | 2.14x | ₹707 |
| Advantage+ shopping | ₹6,478 | 5.1% | 9 | 2.06x | ₹720 |
| Lookalike audiences | ₹6,463 | 5.1% | 8 | 2.00x | ₹808 |
Creatives
Creative mix month 3
New ads per month
| Creative type | Tier | Ad spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Catalogue (dynamic product ads) | Moderate | ₹32,089 | 41 | 2.00x | ₹783 |
| Video | Moderate | ₹62,381 | 78 | 1.94x | ₹800 |
| Static image | Moderate | ₹19,393 | 24 | 1.93x | ₹808 |
| UGC / creator video | Moderate | ₹8,660 | 10 | 1.77x | ₹866 |
| Carousel | Watchlist | ₹3,346 | 4 | 1.62x | ₹836 |
How we run it
How we run it, why, and how it works
Research & offer Month 1
What we do
The first problem in this scenario is marketing and social presence, so the opening month on this smaller store goes there. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We put best-sellers on product pages and lead with the one or two categories that already sell.
Why
In this case study, a smaller fashion brand grows monthly revenue in 2–3 months, from ₹2L to ₹5L+ (2.5x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the case study follows the fastest tenth's pace, holds budget where return starts to slip, and shows the gap to the brand's number honestly. The main problem was marketing and social presence. A written brief gives every later budget decision a reference point. Lead categories give prospecting ads a proven entry point.
How it works
All three are shared with the brand's team before any budget step. Lead categories carry the first scaling months.
Measurement & reviews Month 1 to 3
What we do
We write month-by-month revenue numbers with the brand's team that climb from ₹2L to ₹5L+, and open every review with the month-to-date number against them. We track ad-platform revenue beside store orders in a shared daily sheet. We reconcile the return on spend the brand in this scenario reports with store revenue before the first budget change.
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. A missed month shows up early instead of at the end of the case study. Ad platforms claim more orders than stores record, so the store number decides budget.
How it works
The month's number is on the page at every review. The sheet is read before each budget change. Both returns are reviewed together each week.
Creative testing Month 1
What we do
We 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. We buy creative in batches and give each batch a fixed read window before buying more. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages.
Why
Spend in the learning phase pays for information. Buying more before a batch is read means paying for guesses. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.
How it works
Spend steps up only after orders confirm at the low budget. Only ads that convert inside the window keep running. 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.
Scaling Month 2 to 3
What we do
We scale through Month 2 to Month 3 as far toward ₹5L+ as return allows as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We cut budgets during major marketplace sale events and move spend to narrower premium audiences. We recover abandoned checkouts with WhatsApp messages as traffic grows.
Why
In Month 2 to Month 3 the budget rises gently, while return on spend holds. In two of these months the step is trimmed to the size return can hold. Each budget step here is sized so that return stays close to where it was. Marketplace sales inflate auction costs and pull price-led buyers away.
How it works
Spend is reduced and redirected for each event window. WhatsApp recovery runs alongside paid retargeting, not instead of it. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.
Milestones
Milestones by month
- Month 1
The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. The audit, brief and media schedule are agreed with the brand's team. Reported and store-side returns are reconciled.
- Revenue ₹2L
- ROAS 1.90x
- Ad spend ₹1.1L
- Month 2
Scaling begins: regional-language cuts of the winning UGC go live. Budget goes up only as far as return can carry it: spend steps up, and return holds.
- Revenue ₹2.3L
- ROAS 1.86x
- Ad spend ₹1.2L
- Month 3
The creative batch is read and the winners keep the budget. Budget goes up only as far as return can carry it: spend holds, and return holds. The case study finishes short of ₹5L+: budget stops rising where return starts to slip. Each order costs about what it did while learning.
- Revenue ₹2.4L
- ROAS 1.93x
- Ad spend ₹1.3L
Learnings
Learnings from Fashion & apparel brands we measured
Put best-sellers on product pages, lead with the one or two categories that sell, and keep a monthly creative bank.
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.
Best-sellers on product pages, trousers and co-ords as lead categories, a monthly creative bank
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