Beauty & skincare case study: ₹25L–₹30L to ₹1.1Cr monthly revenue in 18 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   The first problem in this scenario is marketing and social presence, so the opening month on this established store goes there. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting. Before budget rises, we close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

   Why

   An established beauty and skincare store grows monthly revenue in 18 months, from ₹25L–₹30L to ₹2Cr (7.3x). That is faster than nine in ten of our measured accounts grew over the same time, so the case study below is on what that fastest tenth reached and shows where it lands against the number this scenario calls for. The main problem in this scenario is marketing and social presence, with a clear strategy close behind. A written brief gives every later budget decision a reference point. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   The audit, the brief and the media schedule are shared before spend rises. Retargeting sits next to prospecting and never replaces it. 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 18

   What we do

   We report net sales after returns, cancellations and tax next to store revenue and platform revenue. We write month-by-month revenue numbers with the brand's team that climb from ₹25L–₹30L to ₹2Cr, and open every review with the month-to-date number against them. We check the reported return on spend against store revenue before any budget moves.

   Why

   Its reported return on ad spend is in line with what measured stores of that size hold, so the case study starts there. Returns, cancellations and tax cut logged revenue, so the numbers are set on net sales. Written monthly numbers expose a slow month while there is still time to act.

   How it works

   Budget decisions are read off net sales, not the ad platform alone. The month's number is on the page at every review. Both returns are reviewed together each week.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, static image and catalogue ads first, rising to well over a hundred new ads a month by the final month, 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. The learning month runs with a deliberately small daily budget until orders prove the buyer. We lead with video that carries trust: creators, customer feedback and founder-led pieces.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. In most accounts we measured, video that carried trust held its return.

   How it works

   Losing products are paused within a week and budget moves to the winners. Only confirmed orders at the low budget unlock the next step. UGC that underperforms is replaced by founder-led video, not given more budget. More spend buys more new ads, led by video ahead of static image.

4. 4

   Scaling · Month 2 to 13

   What we do

   We scale through Month 2 to Month 13 toward ₹2Cr as the budget climbs steeply and return falls, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We test cost caps, bid caps and CBO against ABO side by side before each budget step. As spend rises, we mix new creatives in with the proven ones before the old ones tire. We tie every budget increase to return: we step up while it holds, and step back when it drops.

   Why

   Across Month 2 to Month 13, the budget climbs steeply, and return on spend falls as it does. In one of these months the step is trimmed to the size return can hold. Spend stays flat for one of these months, waiting on return rather than on the calendar. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. Controls show which setup holds cost per purchase as spend rises.

   How it works

   Controls run as parallel versions and the one that holds cost is kept. Proven ads stay while new ones are added. Budget follows return month to month instead of a fixed ramp. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 14 to 18

   What we do

   From Month 14, we hold the gains and push toward ₹2Cr only as far as return allows. We refresh tired ads by mixing old and new creatives, and keep a creative bank. We hold the numbers on net sales as volume grows, since returns rise with it. We use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   From Month 14 growth slows while revenue is still under ₹2Cr. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. Net sales ran below logged store revenue in our measured accounts.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. Each review opens with net sales against the month's number. Messages run beside retargeting ads.

1. Month 1

   Learning month: a small daily budget carries the first ads, and store orders are matched to tracking. The layered account is in place, with retargeting beside prospecting. Net sales are reconciled against logged revenue.

   • Revenue ₹27.1L
   • ROAS 2.98x
   • Ad spend ₹9.1L
2. Month 2

   Scaling starts: budget is reviewed against return before the next step. Spend steps up, and return dips.

   • Revenue ₹30L
   • ROAS 2.86x
   • Ad spend ₹10.5L
3. Month 3

   Repeat-order messages go to past buyers. Spend holds, and return rises.

   • Revenue ₹31.1L
   • ROAS 3.02x
   • Ad spend ₹10.3L
4. Month 4

   Cost caps and bid caps are tested against open bidding.

   • Revenue ₹33L
   • ROAS 2.94x
   • Ad spend ₹11.2L
5. Month 5

   Fresh ads are mixed in beside the proven set. Spend steps up, and return holds.

   • Revenue ₹37.4L
   • ROAS 3.03x
   • Ad spend ₹12.4L
6. Month 6

   New creator and customer-feedback videos join the account. Spend holds, and return holds.

   • Revenue ₹39.7L
   • ROAS 2.99x
   • Ad spend ₹13.3L
7. Month 7

   The weekly product read pauses the products that are not selling. Spend steps up, and return holds.

   • Revenue ₹46.2L
   • ROAS 2.89x
   • Ad spend ₹16L
8. Month 8

   Tired ads are refreshed from the creative bank.

   • Revenue ₹55.7L
   • ROAS 2.68x
   • Ad spend ₹20.8L
9. Month 9

   Budget is reviewed against return before the next step.

   • Revenue ₹68L
   • ROAS 2.57x
   • Ad spend ₹26.5L
10. Month 10

    Repeat-order messages go to past buyers.

    • Revenue ₹84.8L
    • ROAS 2.36x
    • Ad spend ₹36L
11. Month 11

    Cost caps and bid caps are tested against open bidding.

    • Revenue ₹1.02Cr
    • ROAS 2.47x
    • Ad spend ₹41.2L
12. Month 12

    Fresh ads are mixed in beside the proven set. The budget step stops where return starts to slip: spend holds, and return dips.

    • Revenue ₹1.05Cr
    • ROAS 2.33x
    • Ad spend ₹45.2L
13. Month 13

    New creator and customer-feedback videos join the account. Because a larger budget does not earn its keep at this return, spend holds, and return rises.

    • Revenue ₹1.08Cr
    • ROAS 2.43x
    • Ad spend ₹44.3L
14. Month 14

    The case study moves into its steady phase, leaning on refreshed ads and repeat buyers. The budget step stops where return starts to slip: spend holds, and return holds.

    • Revenue ₹1.07Cr
    • ROAS 2.41x
    • Ad spend ₹44.3L
15. Month 15

    The weekly product read pauses the products that are not selling.

    • Revenue ₹1.07Cr
    • ROAS 2.40x
    • Ad spend ₹44.5L
16. Month 16

    Ads with falling click-through are swapped from the bank.

    • Revenue ₹1.06Cr
    • ROAS 2.35x
    • Ad spend ₹45.1L
17. Month 17

    Each budget move is read against the return it bought.

    • Revenue ₹1.06Cr
    • ROAS 2.25x
    • Ad spend ₹47.3L
18. Month 18

    Past buyers get a WhatsApp nudge for their next order. Because a larger budget does not earn its keep at this return, spend holds, and return rises. ₹2Cr is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends higher than in the learning phase.

    • Revenue ₹1.1Cr
    • ROAS 2.37x
    • Ad spend ₹46.3L

1. 1

   Instagram Reels carries the largest share of 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

   Paused South India during Shravan and ran new creatives to the North