Beauty & skincare case study: plan for ₹5L to ₹9L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Open with set-up work on the mid-sized beauty and skincare store, since the booking gave no single problem. Start with a website audit, a creative brief and a monthly media plan in the first week. Set basket-size offers that reward a second and third item in the cart.

   Why

   A mid-sized beauty and skincare store asked us how to grow monthly revenue in 6 months, from ₹5L to ₹1Cr (20x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the plan is built on what the fastest tenth reached, and shows the gap to the target honestly. No single problem was named at booking; the plan works from the figures instead. Without a brief, each creative and budget decision starts from scratch. Each extra item in a basket is revenue the ad has already paid for.

   How it works

   All three are shared with the brand's team before any budget step. The tiers follow real order values, not round numbers.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Track ad-platform revenue beside store orders in a shared daily sheet. Set the path from ₹5L to ₹1Cr as written monthly targets, and read every review against the month so far. Set a written rule: no budget step in a month where return would fall too far to pay for it.

   Why

   It did not report a return on ad spend, so the plan starts from what measured stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. Written targets expose a slow month while there is still time to act.

   How it works

   Every budget call starts from the store's orders. Each budget step is argued against the written target. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Lead the testing layer with video, static image and catalogue ads, building to a few dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Give each lead product its own campaign and read it weekly. The learning month runs with a deliberately small daily budget until orders prove the buyer. Commission ads in batches, and read each batch for a set window before ordering the next.

   Why

   Products that do not sell show up inside a week, not after a month of shared budget. Spend in the learning phase pays for information. A fixed window stops spend chasing a creative before it has been read.

   How it works

   Budget follows the products that sell. Only confirmed orders at the low budget unlock the next step. Losing batches stop; winning ads take their budget. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Scale through Month 2 to Month 4 toward ₹1Cr as the budget climbs in steps and return falls, with Instagram Reels taking the largest share of spend and Instagram Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. Run cost caps, bid caps, CBO and ABO as parallel versions before budget steps up.

   Why

   Across Month 2 to Month 4, the modelled budget climbs in steps, and return on spend falls as it does. In two of these months the step is trimmed to the size return can hold. In measured accounts, scaling spend raised cost per order and lowered return on spend, so each step waits for return to hold. Parallel controls reveal which setup keeps cost per purchase down as spend grows.

   How it works

   Each month's budget is set by the return the last one earned. The version that keeps cost per purchase lowest stays. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. Most spend reaches people who have not bought yet; past visitors return more per rupee.

5. 5

   Steady state · Month 5 to 6

   What we'd do

   From Month 5, hold the gains and push toward ₹1Cr only as far as return allows. Refresh tired ads by mixing old and new creatives, and keep a creative bank. Use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   Growth slows from Month 5, still short of ₹1Cr. Spend still grows, at a slower pace than during scaling. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. Messages run beside retargeting ads.

1. Month 1

   The learning phase opens: tracking is checked against store orders and the first ads go live on a small daily budget. Store orders and platform revenue are reconciled in the shared sheet. The cart-value tiers are live.

   • Projected revenue ₹5L
   • Projected ROAS 3.07x
   • Planned ad spend ₹1.6L
2. Month 2

   Scaling begins: cost caps and bid caps are tested against open bidding. Budget steps up sharply and return on spend falls.

   • Projected revenue ₹6.7L
   • Projected ROAS 2.48x
   • Planned ad spend ₹2.7L
3. Month 3

   The creative batch is read and the winners keep the budget. Budget rises to the point where return would start to give way: budget steps up sharply and return on spend falls.

   • Projected revenue ₹8.6L
   • Projected ROAS 2.09x
   • Planned ad spend ₹4.1L
4. Month 4

   Repeat-order messages go to past buyers. Budget rises to the point where return would start to give way: budget holds and return on spend holds.

   • Projected revenue ₹8.8L
   • Projected ROAS 2.08x
   • Planned ad spend ₹4.3L
5. Month 5

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

   • Projected revenue ₹8.9L
   • Projected ROAS 2.01x
   • Planned ad spend ₹4.4L
6. Month 6

   Budget is reviewed against return before the next step. Budget rises to the point where return would start to give way: budget holds and return on spend holds. ₹1Cr is not reached in the time, because budget stops rising where return would slip. Each order costs more by the end than it did while learning.

   • Projected revenue ₹9L
   • Projected ROAS 2.03x
   • Planned ad spend ₹4.4L

1. 01

   Test Static image alongside the main format: it reached the top creative tier most often in measured accounts across all industries.

2. 02

   Test bidding controls (cost caps, bid caps, CBO against ABO) side by side before scaling.

3. 03

   Meta in four layers: creative testing, scaling, mid-funnel and catalogue retargeting