Fashion and apparel case study: ₹1.8L to ₹8.1L monthly revenue in 5 months
Case study
Start to month 5
The two months in our records: the month we started and month 5. The dashed line only joins them. The months in between were not recorded, so no figure is shown for them.
Revenue by month
| Month | Ad spend | Revenue | Revenue per ₹1 of ad spend |
|---|---|---|---|
| Start | ₹50,000 | ₹1,80,000 | ₹3.60 |
| Months 1–4 | Not recorded | ||
| Month 5 | ₹1,60,000 | ₹8,10,000 | ₹5.06 |
| Change | +₹1,10,000 | +₹6,30,000 | – |
Analysis
What the numbers show
This fashion and apparel brand worked with us on Meta ads and marketplace management. When we started, it made ₹1.8L a month in revenue. 5 months later, in 2023, it made ₹8.1L a month.
In plain numbers: monthly revenue went from ₹1.8L to ₹8.1L in 5 months. Month 5 was 4.5 times the starting month, ₹6.3L more than the month we started (+350%). Spread over the 5 months, that is an average rise of about ₹1.3L a month.
Ad spend went from ₹50K in the starting month to ₹1.6L in month 5. Revenue came to ₹3.60 for each ₹1 of ad spend at the start and ₹5.06 in month 5. So revenue rose faster than ad spend.
Next to the other 21 real fashion and apparel cases in our records, this brand had a bigger rise against its own starting month than 13 of them, took fewer months than 12 and ended at a higher monthly revenue than 8. The middle case of the 22 reached 4.3 times its starting month (11 of the 22 reached that or less), and the middle time taken was 6 months (11 of the 22 took that long or less).
This brand: 4.5xMiddle case: 4.3x
Budget
Ad spend and revenue start and month 5
- Ad spend, start₹50,000
- Revenue, start₹1,80,000₹3.60 of revenue for each ₹1 of ad spend
- Ad spend, month 5₹1,60,000
- Revenue, month 5₹8,10,000₹5.06 of revenue for each ₹1 of ad spend
Revenue for each ₹1 of ad spend: ₹5.06 in month 5, against ₹3.60 at the start worked out
How we run it
How we run it, why, and how it works
Why
We do not have this brand's account notes from that time, so here is what usually holds back a fashion and apparel brand, from our own fashion brand guide.
Fit decides the sale and the return. Catalogues are large and change fast, and discount seasons train buyers.
How we usually run meta ads and marketplace management for a brand like this, from our own service pages and guides.
Read the account first
What we do
We get access to the ad account and the store, check that sales are recorded correctly, and read the past campaigns before we change anything.
Clothes on real people
What we do
Creators wear the product in their own life, which reads as a recommendation, and we judge return on ad spend on revenue kept after returns, not on orders placed.
A few campaigns, one job each
What we do
We keep a small set of campaigns, each with one job. One tests new ads, one puts more money behind the ads that sell, and one brings back people who visited.
Listings that sell
What we do
Keyword-led titles, bullets and back-end terms, with images and A+ content that sell.
Keep the terms that sell
What we do
Terms that sell move into exact-match campaigns with their own bids. Terms that spend without selling become negatives.
Bids follow stock
What we do
Bids follow ACoS and stock. Low stock means lower bids, and ads pause on products that are out of stock.
A report every week
What we do
Sales, ads and stock, per marketplace, every week.
How it works, for every brand
One in-house team in Surat writes, shoots and edits the ad videos and runs the Meta and Google campaigns they go into, so the people who see the numbers are the people who make the next ad.
On record
Start and month 5
- Start
The month we started work with the brand.
- Revenue ₹1.8L
- Ad spend ₹50K
- Revenue per ₹1 of ad spend ₹3.60
- Month 5 2023
5 months later, in 2023.
- Revenue ₹8.1L
- Ad spend ₹1.6L
- Revenue per ₹1 of ad spend ₹5.06
The numbers
How to read these numbers
Our records hold two months for this brand: monthly revenue in the month we started (₹1.8L) and in month 5 (₹8.1L), 5 months later, in 2023. Ad spend in those two months comes from the same records (₹50K and ₹1.6L).
The chart puts those two months on a line of the real number of months and joins them with a dashed line. We do not have the months in between, so the page shows no figure for them.
Figures marked “worked out” are plain sums of those numbers: the rise in rupees and in per cent, how many times the starting month, the average rise a month, and revenue for each ₹1 of ad spend (revenue divided by ad spend in the same month).
The comparison uses only the 200 real cases in our records. 22 of them are fashion and apparel brands, and this page is one of them. The middle case is the one in the middle when all 22 are put in order.
Questions
Questions founders ask
How long did it take?+
5 months. The ending month was in 2023.
What did we run for this brand?+
Meta ads and marketplace management.
Why does the chart show only two months?+
Our team gave us the starting and the ending month for this brand. We publish only the numbers we have, so the months in between are left out.
This work ran on our performance marketing and marketplace management services. Our fashion brand guide explains how we usually run brands in this category. Want to talk about your brand? Book a call.
More Fashion and apparel case studies
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