Beauty and skincare case study: ₹2.4L to ₹8.9L monthly revenue in 12 months
Case study
Start to month 12
The two months in our records: the month we started and month 12. 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 | ₹90,000 | ₹2,40,000 | ₹2.67 |
| Months 1–11 | Not recorded | ||
| Month 12 | ₹2,10,000 | ₹8,90,000 | ₹4.24 |
| Change | +₹1,20,000 | +₹6,50,000 | – |
Analysis
What the numbers show
This beauty and skincare brand worked with us on ad videos, performance marketing and Shopify CRO. When we started, it made ₹2.4L a month in revenue. 12 months later, in 2022, it made ₹8.9L a month.
In plain numbers: monthly revenue went from ₹2.4L to ₹8.9L in 12 months. Month 12 was 3.7 times the starting month, ₹6.5L more than the month we started (+271%). Spread over the 12 months, that is an average rise of about ₹54K a month.
Ad spend went from ₹90K in the starting month to ₹2.1L in month 12. Revenue came to ₹2.67 for each ₹1 of ad spend at the start and ₹4.24 in month 12. So revenue rose faster than ad spend.
Next to the other 8 real beauty and skincare cases in our records, this brand had a bigger rise against its own starting month than 3 of them, had the longest time of the 9 and ended at a higher monthly revenue than 1. The middle case of the 9 reached 4 times its starting month (5 of the 9 reached that or less), and the middle time taken was 7 months (5 of the 9 took that long or less).
This brand: 3.7xMiddle case: 4x
Budget
Ad spend and revenue start and month 12
- Ad spend, start₹90,000
- Revenue, start₹2,40,000₹2.67 of revenue for each ₹1 of ad spend
- Ad spend, month 12₹2,10,000
- Revenue, month 12₹8,90,000₹4.24 of revenue for each ₹1 of ad spend
Revenue for each ₹1 of ad spend: ₹4.24 in month 12, against ₹2.67 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 beauty and skincare brand, from our own beauty and skincare guide.
Claims are regulated and results take time. A serum shows results in weeks, so the first purchase is a leap of faith, and most beauty brands only make money when a customer reorders.
How we usually run ad videos, performance marketing and Shopify CRO 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.
Explain the ingredient
What we do
Short videos show what an ingredient does, who it suits and how to use it.
Scripts first, approved by the brand
What we do
Our in-house team writes every script and its opening lines, and each brand approves every script before we shoot.
Several openings per video
What we do
Each video gets several openings, and each opening runs as its own ad.
A checkout that converts
What we do
Fewer steps to pay, trust badges and payment icons where people decide, Cash on Delivery with one-click checkout, and cart recovery switched on.
Fast on every phone
What we do
Every page is checked for how fast it shows and how fast a tap gets a response, and the store is tested on phones, tablets and desktop.
Every sale recorded before launch
What we do
The Meta Pixel, the Conversions API, Google Ads and GA4 are set up and tested with purchase value before the store goes live.
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 12
- Start
The month we started work with the brand.
- Revenue ₹2.4L
- Ad spend ₹90K
- Revenue per ₹1 of ad spend ₹2.67
- Month 12 2022
12 months later, in 2022.
- Revenue ₹8.9L
- Ad spend ₹2.1L
- Revenue per ₹1 of ad spend ₹4.24
The numbers
How to read these numbers
Our records hold two months for this brand: monthly revenue in the month we started (₹2.4L) and in month 12 (₹8.9L), 12 months later, in 2022. Ad spend in those two months comes from the same records (₹90K and ₹2.1L).
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. 9 of them are beauty and skincare brands, and this page is one of them. The middle case is the one in the middle when all 9 are put in order.
Questions
Questions founders ask
How long did it take?+
12 months. The ending month was in 2022.
What did we run for this brand?+
Ad videos, performance marketing and Shopify CRO.
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 ads videos, performance marketing and Shopify development services. Our beauty and skincare guide explains how we usually run brands in this category. Want to talk about your brand? Book a call.
More Beauty and skincare case studies
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