Beauty & skincare case study: ₹2L to ₹2.8L monthly revenue in 8 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 smaller store goes there. We add cart-value offers that step up at set basket sizes to lift order value. We open with three documents: a website audit, a creative brief and a media schedule by month. 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

   In this case study, a smaller beauty and skincare brand grows monthly revenue in 8 months, from ₹2L to ₹30L (15x). 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 rather than forcing the number. The main problem was marketing and social presence. Each extra item in a basket is revenue the ad has already paid for. Later budget calls need something written to be judged against.

   How it works

   Tier levels are set just above the basket sizes buyers already reach. All three are shared with the brand's team before any budget step. Site fixes are handed over in the first weeks, before budget rises.

2. 2

   Measurement & reviews · Month 1 to 8

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We write month-by-month revenue numbers with the brand's team that climb from ₹2L to ₹30L, and open every review with the month-to-date number against them. We set a written rule: no budget step in a month where return falls too far to pay for 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. Platform attribution over-counts, so budget decisions sit on the store-side number. A shortfall is caught in the month it happens, not at the end.

   How it works

   Every budget call starts from the store's orders. The month's number is on the page at every review. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   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 final month, keeping carousel on a short leash because its return trails the account. We brief creators for a steady run of UGC video, with regional-language cuts of the winners. We run creator, customer-feedback and founder-led video. The learning month runs at a low daily budget and moves up only when orders come through.

   Why

   A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Video built on trust was the format that held return in most measured accounts. Spend in the learning phase pays for information.

   How it works

   Regional cuts of a winner come before new ideas. UGC that underperforms is replaced by founder-led video, not given more budget. Only confirmed orders at the low budget unlock the next step. More spend buys more new ads, led by video ahead of static image.

4. 4

   Scaling · Month 2 to 5

   What we do

   We scale through Month 2 to Month 5 toward ₹30L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We let return decide budget: more while it holds, less when it slips. We recover abandoned checkouts with WhatsApp messages as traffic grows. As spend rises, we mix new creatives in with the proven ones before the old ones tire.

   Why

   Across Month 2 to Month 5, the budget rises gently, while return on spend holds. In four of these months budget goes up only as far as return allows, so revenue grows more slowly than the agreed number needs. Each budget step here is sized so that return stays close to where it was. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   Budget follows return month to month instead of a fixed ramp. WhatsApp recovery runs alongside paid retargeting, not instead of it. Proven ads stay while new ones are added. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 6 to 8

   What we do

   From Month 6, we protect the revenue already built and move toward ₹30L where return permits. We keep a bank of ready creatives and rotate them in as ads tire. We recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   Growth slows from Month 6, still short of ₹30L. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. A message to someone who nearly bought costs less than an ad.

   How it works

   The bank means a tired ad is replaced the week it tires. Messages run beside retargeting ads.

1. Month 1

   Learning month: tracking is checked against store orders and the first ads go live on a small daily budget. The website audit, creative brief and media schedule are shared. The store fix list is live, with reviews on product pages and a prepaid offer.

   • Revenue ₹2.1L
   • ROAS 1.90x
   • Ad spend ₹1.1L
2. Month 2

   The scaling phase opens: repeat-order messages go to past buyers. Budget goes up only as far as return can carry it: budget steps up and return on spend holds.

   • Revenue ₹2.4L
   • ROAS 1.90x
   • Ad spend ₹1.2L
3. Month 3

   New creatives join the proven ones. Budget goes up only as far as return can carry it: budget holds and return on spend holds.

   • Revenue ₹2.6L
   • ROAS 1.93x
   • Ad spend ₹1.3L
4. Month 4

   Abandoned checkouts get WhatsApp follow-ups.

   • Revenue ₹2.7L
   • ROAS 1.94x
   • Ad spend ₹1.4L
5. Month 5

   Regional-language cuts of the winning UGC go live.

   • Revenue ₹2.8L
   • ROAS 1.89x
   • Ad spend ₹1.5L
6. Month 6

   From here the work shifts to keeping ads fresh and bringing buyers back.

   • Revenue ₹2.8L
   • ROAS 1.90x
   • Ad spend ₹1.5L
7. Month 7

   A fresh round of creator and customer-feedback video goes live.

   • Revenue ₹2.8L
   • ROAS 1.89x
   • Ad spend ₹1.5L
8. Month 8

   Tired ads are refreshed from the creative bank. Budget goes up only as far as return can carry it: budget holds and return on spend holds. The case study finishes short of ₹30L: budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹2.8L
   • ROAS 1.89x
   • Ad spend ₹1.5L

1. 1

   Test UGC / creator video alongside the main format: it reached the top creative tier most often in this industry's measured accounts.

2. 2

   Buy creative in batches, give each batch a fixed read window, and refresh tired ads by mixing old and new.

3. 3

   We recover abandoned checkouts and lift repeat orders with WhatsApp messages.