Beauty & skincare case study: ₹50,000 to ₹73,197 monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We start with return on ad spend, which the brand in this scenario named first, before anything else on this smaller store. We set basket-size offers that reward a second and third item in the cart. We fix the store before scaling: trust pointers, reviews, a clear return window, an about page and a prepaid incentive.

   Why

   In this case study, a smaller beauty and skincare brand grows monthly revenue in 3 months, from ₹50,000 to ₹1.5L (3x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the case study follows the pace of that top tenth, holds budget where return starts to slip, and does not force the number. The main problem was return on ad spend. A larger basket spreads the cost of each order over more revenue. No budget returns more than the store converts.

   How it works

   The tiers follow real order values, not round numbers. The fix list goes to the brand's team in the opening weeks, ahead of any budget step.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We track ad-platform revenue beside store orders in a shared daily sheet. We set the numbers on net sales after returns and cancellations, not on logged revenue. We set the path from ₹50,000 to ₹1.5L as written monthly numbers, and read every review against the month so far.

   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. Ad platforms claim more orders than stores record, so the store number decides budget. Returns and cancellations cut into logged revenue before it reaches the bank.

   How it works

   Every budget call starts from the store's orders. Each review opens with net sales against the month's number. The month's number is on the page at every review.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, static image and catalogue ads 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. We give each lead product its own campaign and read it weekly. We run creator, customer-feedback and founder-led video. We test static images beside video.

   Why

   Products that do not sell show up inside a week, not after a month of shared budget. In most accounts we measured, video that carried trust held its return. In measured beauty and skincare accounts, UGC and creator video reached the top creative tier most often.

   How it works

   A product that does not sell is paused inside the week. Low-quality UGC is pulled and founder-led video takes its place. Statics are added after a video wins. The number of new ads grows with spend; video makes up the largest part and static image the next.

4. 4

   Scaling · Month 2 to 3

   What we do

   Through Month 2 to Month 3, we push as far toward ₹1.5L as return allows: the budget rises gently while return rises, and Instagram Reels carries the most spend and Instagram Feed the next. We let return decide budget: more while it holds, less when it slips. We make regional-language versions of the winning video for the states that buy most.

   Why

   Across Month 2 to Month 3, the budget rises gently, while return on spend rises. Budget is part-stepped in two of these months, taking only what return can carry. Return improves over these months, moving from the starting level toward the level of measured stores of that size. Buyers respond to the same idea in their own language.

   How it works

   Budget follows return month to month instead of a fixed ramp. Regional cuts run beside the original winner. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Month 1

   The learning phase opens: a small daily budget carries the first ads, and store orders are matched to tracking. Reviews, trust pointers and the prepaid incentive are now on the store. Basket-size offers switch on at checkout.

   • Revenue ₹51,077
   • ROAS 1.92x
   • Ad spend ₹26,604
2. Month 2

   Scaling begins: budget is reviewed against return before the next step. Budget goes up only as far as return can carry it: spend steps up, and return holds.

   • Revenue ₹61,789
   • ROAS 1.88x
   • Ad spend ₹32,793
3. Month 3

   Products that do not sell are paused and budget moves to the winners. Budget goes up only as far as return can carry it: spend steps up, and return rises. ₹1.5L is not reached in the time, because budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹73,197
   • ROAS 2.00x
   • Ad spend ₹36,666

1. 1

   Video carries most creative spend in this industry's measured accounts.

2. 2

   After the spring fall: hero categories, a pixel fix and festive influencer content

3. 3

   Opened a month-to-date table against the cap on every weekly call