Fashion & apparel case study: plan for ₹50,000 to ₹62,034 monthly revenue in 6 months
01 · Plan
Month by month
Monthly plan
| Month | Phase | Planned ad spend | Projected revenue | Projected ROAS | Projected purchases | Projected cost per purchase |
|---|---|---|---|---|---|---|
| At enquiry, self-reported | – | – | ₹50,000 | – | – | – |
| Month 1 | Learning | ₹26,455 | ₹49,927 | 1.89x | 24 | ₹1,102 |
| Month 2 | Scaling | ₹28,524 | ₹54,949 | 1.93x | 25 | ₹1,141 |
| Month 3 | Scaling | ₹29,788 | ₹57,126 | 1.92x | 27 | ₹1,103 |
| Month 4 | Scaling | ₹31,252 | ₹59,863 | 1.92x | 29 | ₹1,078 |
| Month 5 | Steady | ₹32,161 | ₹61,321 | 1.91x | 30 | ₹1,072 |
| Month 6 | Steady | ₹32,090 | ₹62,034 | 1.93x | 30 | ₹1,070 |
| Total | ₹1,80,270 | ₹3,45,220 | 1.92x | 165 | ₹1,093 |
02 · Funnel
Projected funnel, first view to purchase · month 6
- Impressions1,68,992
- Link clicks3,6772.18% of impressions
- Landing-page views3,00581.72% of link clicks1.778% of impressions
- Added to cart1826.06% of landing-page views0.108% of impressions
- Checkout started10457.14% of added to cart0.062% of impressions
- Purchases3028.85% of checkout started0.018% of impressions
0.018% of impressions became purchases
03 · Mix
Where the planned budget goes · month 6
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| ₹21,101 | 65.8% | 21 | 1.99x | ₹1,005 | |
| ₹10,989 | 34.2% | 9 | 1.83x | ₹1,221 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Instagram Reels | ₹9,425 | 29.4% | 9 | 1.99x | ₹1,047 |
| Instagram Feed | ₹7,482 | 23.3% | 8 | 2.10x | ₹935 |
| Facebook Feed | ₹7,340 | 22.9% | 6 | 1.83x | ₹1,223 |
| Instagram Stories | ₹4,194 | 13.1% | 4 | 1.77x | ₹1,048 |
| Facebook Reels | ₹3,649 | 11.4% | 3 | 1.82x | ₹1,216 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹25,362 | 79.0% | 23 | 1.90x | ₹1,103 |
| Retargeting (warm audiences) | ₹2,932 | 9.1% | 3 | 2.14x | ₹977 |
| Lookalike audiences | ₹2,092 | 6.5% | 2 | 2.00x | ₹1,046 |
| Advantage+ shopping | ₹1,704 | 5.3% | 2 | 2.06x | ₹852 |
04 · Creatives
Planned creative mix · month 6
New ads per month
| Creative type | Tier | Planned ad spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Catalogue (dynamic product ads) | Moderate | ₹6,621 | 6 | 1.99x | ₹1,104 |
| Video | Moderate | ₹19,137 | 18 | 1.93x | ₹1,063 |
| Static image | Moderate | ₹4,530 | 4 | 1.92x | ₹1,132 |
| UGC / creator video | Moderate | ₹1,802 | 2 | 1.77x | ₹901 |
05 · How we'd help
How we'd help, why, and how it works
Research & offer · Month 1
What we'd do
Before budget rises, get the smaller fashion store ready to convert paid traffic. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Before budget rises, close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.
Why
A smaller fashion store asked us how to grow monthly revenue in 6 months, from ₹50,000 to ₹10L (20x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan below is modelled on what that fastest tenth reached and shows where it lands against the target. No single problem was named at booking; the plan works from the figures instead. Later budget calls need something written to be judged against. Every rupee of ads is capped by how well the store turns visits into orders.
How it works
The brief is agreed first; spend follows it. Site fixes are handed over in the first weeks, before budget rises.
Measurement & targets · Month 1 to 6
What we'd do
Track ad-platform revenue beside store orders in a shared daily sheet. Set the path from ₹50,000 to ₹10L as written monthly targets, and read every review against the month so far. Set a written rule: no budget step in a month where return would fall too far to pay for it.
Why
No return on ad spend was given at booking; the starting return is what measured fashion stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides 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.
Creative testing · Month 1
What we'd do
Test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with no format far behind the account's return. Run every lead product in a campaign of its own, read every week. The learning month runs on a small daily budget, stepping up only once orders confirm. Run static images next to the video ads.
Why
Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. Among the fashion accounts we measured, video was the format most often in the top creative tier.
How it works
Budget follows the products that sell. Spend steps up only after orders confirm at the low budget. Statics join once a winning video is found. New ads rise with the budget, most of them video, then catalogue ads.
Scaling · Month 2 to 4
What we'd do
Through Month 2 to Month 4, push toward ₹10L: the budget rises gently while return holds, 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. Scale into the festive and wedding calendar with seasonal collection campaigns.
Why
In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. Three of these months stop their budget step where return would slip too far. Return holds through these months because each budget step stops where return would slip. Demand is seasonal and regional, so spend moves with the calendar.
How it works
There is no fixed ramp; each month's budget follows the return of the last. Budget moves between regions as the calendar turns. In the final month, Instagram Reels takes the most spend and Instagram Feed the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.
Steady state · Month 5 to 6
What we'd do
From Month 5, protect the revenue already built and move toward ₹10L where return permits. Keep a bank of ready creatives and rotate them in as ads tire. Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.
Why
From Month 5 growth slows while revenue is still under ₹10L. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. Season-specific pages convert season traffic better than the default collection.
How it works
New creatives mix with proven ones rather than replacing them all at once. The seasonal page is requested before the season, with the catalogue campaign.
06 · Milestones
Projected milestones by month
- Month 1
First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. The audit, brief and media plan are agreed with the brand's team. Reviews, trust pointers and the prepaid incentive are now on the store.
- Projected revenue ₹49,927
- Projected ROAS 1.89x
- Planned ad spend ₹26,455
- Month 2
Scaling begins: the seasonal landing page is briefed ahead of the peak. Budget rises to the point where return would start to give way: spend holds, and return holds.
- Projected revenue ₹54,949
- Projected ROAS 1.93x
- Planned ad spend ₹28,524
- Month 3
The budget decision is taken on the return the last step earned.
- Projected revenue ₹57,126
- Projected ROAS 1.92x
- Planned ad spend ₹29,788
- Month 4
A seasonal collection campaign takes a larger share of budget.
- Projected revenue ₹59,863
- Projected ROAS 1.92x
- Planned ad spend ₹31,252
- Month 5
From here the work shifts to keeping ads fresh and bringing buyers back.
- Projected revenue ₹61,321
- Projected ROAS 1.91x
- Planned ad spend ₹32,161
- Month 6
Statics go live next to the winning video. Budget rises to the point where return would start to give way: spend holds, and return holds. The plan finishes short of ₹10L: budget stops rising where return would slip. Cost per purchase ends close to the learning phase.
- Projected revenue ₹62,034
- Projected ROAS 1.93x
- Planned ad spend ₹32,090
07 · Learnings
Learnings from Fashion & apparel brands we measured
Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.
Read Meta against Shopify every week
Store revenue per rupee of ad spend fell from 8.2x to 5.5x as monthly spend nearly doubled
Services behind this plan: Performance marketing · Ads video creation · Book a call
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