Beauty & skincare case study: ₹3L–₹5L to ₹5.7L monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   Before budget rises, we get the smaller beauty and skincare store ready to convert paid traffic. We open with three documents: a website audit, a creative brief and a media schedule by month. We use cart-value tiers so larger baskets earn a better offer.

   Why

   In this case study, a smaller beauty and skincare brand grows monthly revenue in 2 months, from ₹3L–₹5L to ₹8L (2x). 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 brand in this scenario named no single problem, so the case study starts from the numbers. Later budget calls need something written to be judged against. Each extra item in a basket is revenue the ad has already paid for.

   How it works

   The brief is agreed first; spend follows it. Tier levels are set just above the basket sizes buyers already reach.

2. 2

   Measurement & reviews · Week 1 to 9

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We agree a written number for every week on the way from ₹3L–₹5L to ₹8L, and start each review with the week-to-date figure against it. We raise budget in a week only while return holds; where it starts to slip too far, we hold it.

   Why

   With no return on ad spend reported, the case study begins at the level measured beauty and skincare 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 week it happens, not at the end.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. Written monthly numbers make each scaling decision explicit. Where return starts to slip too far, the week keeps last week's budget.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We lead the testing layer with video, static image and catalogue ads, building to a few dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. We run every lead product in a campaign of its own, read every week. We work in creative batches with a fixed read window each. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. The read window keeps creative spending tied to evidence. A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea.

   How it works

   Budget follows the products that sell. Losing batches stop; winning ads take their budget. Regional cuts of a winner come before new ideas. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Week 5 to 9

   What we do

   Through Week 5 to Week 9, we push as far toward ₹8L as return allows: the budget rises gently while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We cut regional-language versions of the winning video for the best-selling states.

   Why

   In Week 5 to Week 9 the budget rises gently, while return on spend holds. Two of these weeks stop their budget step where return starts to slip too far. Each budget step here is sized so that return stays close to where it was. The same winning idea reaches more buyers in their own language.

   How it works

   There is no fixed ramp; each week's budget follows the return of the last. The regional versions run next to the original. Most of the last four weeks's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Week 1

   Learning starts: tracking is checked against store orders and the first ads go live on a small daily budget. The audit, brief and media schedule are agreed with the brand's team. Store orders and ad-platform revenue are checked side by side.

   • Revenue ₹93,661
   • ROAS 1.94x
   • Ad spend ₹48,231
2. Week 2

   First creative read: ads that do not convert are cut. Return holds as the budget holds.

   • Revenue ₹91,594
   • ROAS 1.93x
   • Ad spend ₹47,523
3. Week 3

   Offers and store fixes switch on as the first orders confirm.

   • Revenue ₹93,125
   • ROAS 2.03x
   • Ad spend ₹45,923
4. Week 4

   By the end of learning, the buyer is known and one ad has won.

   • Revenue ₹89,780
   • ROAS 1.97x
   • Ad spend ₹45,507
5. Week 5

   The scaling phase opens: budget is reviewed against return before the next step. Return holds as the budget holds.

   • Revenue ₹93,109
   • ROAS 2.02x
   • Ad spend ₹46,140
6. Week 6

   This batch's read is done: winners stay, the rest are cut. Return holds as the budget steps up.

   • Revenue ₹1.1L
   • ROAS 1.94x
   • Ad spend ₹58,951
7. Week 7

   Budget shifts to the products that sold this period.

   • Revenue ₹1.5L
   • ROAS 1.92x
   • Ad spend ₹75,930
8. Week 8

   The winner now also runs in regional languages. Only the part of the step that return supports is taken: return holds as the budget holds.

   • Revenue ₹1.5L
   • ROAS 1.93x
   • Ad spend ₹78,232
9. Week 9

   The winning UGC runs in regional-language versions. Only the part of the step that return supports is taken: return holds as the budget holds. ₹8L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹1.6L
   • ROAS 1.91x
   • Ad spend ₹81,514

1. 1

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

2. 2

   Website fixes: shop-by-phone-brand menu, reviews and trust pointers on product pages

3. 3

   Six interest clusters, from tech and gaming to fashion, plus a broad audience, with video and catalogue ads