Beauty & skincare case study: ₹4L–₹5L to ₹11.6L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We start with scaling ad spend, which the brand in this scenario named first, before anything else on this smaller store. We split the account into layers: one campaign to test creative, one to scale winners, prospecting that leaves out past buyers, and retargeting for carts. We add cart-value offers that step up at set basket sizes to lift order value.

   Why

   In this case study, a smaller beauty and skincare brand grows monthly revenue in 6 months, from ₹4L–₹5L to ₹50L (11.1x). 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 was scaling ad spend. Without layers, retargeting quietly eats the prospecting budget. Higher order value lowers the share of each order that goes to ads.

   How it works

   Retargeting sits next to prospecting and never replaces it. Offers are tuned to the order values that already sell.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We set the path from ₹4L–₹5L to ₹50L as written monthly numbers, and read every review against the month so far. We set a written rule: no budget step in a month where return falls too far to pay for it.

   Why

   It did not report a return on ad spend, so the case study starts from what 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

   Budget decisions are read off store numbers, not the ad platform alone. Each budget step is argued against the written number. 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 give each lead product its own campaign and read it weekly. We lead with video that carries trust: creators, customer feedback and founder-led pieces. The learning month runs with a deliberately small daily budget until orders prove the buyer.

   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. Spend in the learning phase pays for information.

   How it works

   A product that does not sell is paused inside the week. UGC that underperforms is replaced by founder-led video, not given more budget. Only confirmed orders at the low budget unlock the next step. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Month 2 to 4

   What we do

   Through Month 2 to Month 4, we push toward ₹50L: the budget climbs in steps and return falls, and Instagram Reels carries the most spend and Instagram Feed the next. We recover abandoned checkouts with WhatsApp messages as traffic grows. We tie every budget increase to return: we step up while it holds, and step back when it drops.

   Why

   In Month 2 to Month 4 the budget climbs in steps, and return on spend falls as it does. In one of these months budget goes up only as far as return allows, so revenue grows more slowly than the number this scenario calls for. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   WhatsApp recovery runs alongside paid retargeting, not instead of it. There is no fixed ramp; each month's budget follows the return of the last. In the final month, Instagram Reels takes the most spend and Instagram Feed the next most. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 5 to 6

   What we do

   From Month 5, we hold the gains and push toward ₹50L only as far as return allows. We recover abandoned checkouts and lift repeat orders with WhatsApp messages. We keep a bank of ready creatives and rotate them in as ads tire.

   Why

   Growth slows from Month 5, still short of ₹50L. Budget stays about level over these months. A message to someone who nearly bought costs less than an ad. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional.

   How it works

   Messages run beside retargeting ads. Refreshes are gradual: a few new ads at a time.

1. Month 1

   First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. The cart-value tiers are live. The account runs in layers: testing, scaling and retargeting.

   • Revenue ₹4.3L
   • ROAS 2.56x
   • Ad spend ₹1.7L
2. Month 2

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

   • Revenue ₹5.5L
   • ROAS 2.25x
   • Ad spend ₹2.5L
3. Month 3

   Tired ads are refreshed from the creative bank. Spend steps up sharply, and return falls.

   • Revenue ₹9.3L
   • ROAS 1.91x
   • Ad spend ₹4.9L
4. Month 4

   Products that do not sell are paused and budget moves to the winners. The budget step stops where return starts to slip: spend steps up, and return holds.

   • Revenue ₹12.4L
   • ROAS 1.96x
   • Ad spend ₹6.3L
5. Month 5

   From here the work shifts to keeping ads fresh and bringing buyers back. The budget step stops where return starts to slip: spend holds, and return dips.

   • Revenue ₹11.7L
   • ROAS 1.86x
   • Ad spend ₹6.3L
6. Month 6

   A fresh round of creator and customer-feedback video goes live. The budget step stops where return starts to slip: spend holds, and return holds. Revenue ends below ₹50L, the number this scenario calls for, because budget stops rising where return starts to slip. Cost per purchase ends higher than in the learning phase.

   • Revenue ₹11.6L
   • ROAS 1.89x
   • Ad spend ₹6.2L

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

   Instagram Reels carries the largest share of spend in this industry's measured accounts.

3. 3

   Tested products one by one, each in its own campaign