Beauty & skincare case study: plan for ₹60,000 to ₹80,176 monthly revenue in 4–6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Start with reaching new buyers, which the booking named first, before anything else on this smaller store. Set basket-size offers that reward a second and third item in the cart. Before budget rises, close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

   Why

   A smaller beauty and skincare store asked us how to grow monthly revenue in 4–6 months, from ₹60,000 to ₹5L–₹7L (10x). 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. The problem named at booking was reaching new buyers. Each extra item in a basket is revenue the ad has already paid for. Every rupee of ads is capped by how well the store turns visits into orders.

   How it works

   The tiers follow real order values, not round numbers. Fixes are listed and handed over early, so later budget lands on a store that converts.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Set the path from ₹60,000 to ₹5L–₹7L as written monthly targets, and read every review against the month so far. Keep a shared daily sheet with the ad platform's revenue next to real store orders. Raise budget in a month only while return holds; where it would slip too far, hold it.

   Why

   Its reported return on ad spend is higher than measured beauty and skincare stores of that size hold, so the plan starts there and lets part of it ease as budget grows. A shortfall is caught in the month it happens, not at the end. The ad platform's own count runs high, so the store's count is the one that moves budget.

   How it works

   The target for the month is on the page at every review. Budget decisions are read off store numbers, not the ad platform alone. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. The learning month runs on a small daily budget, stepping up only once orders confirm. Make trust the subject of the video: creator reels, customer feedback and founder-led clips. Run static images next to the video ads.

   Why

   Early spend buys learning, not scale. In most accounts we measured, video that carried trust held its return. Among the beauty and skincare accounts we measured, UGC and creator video was the format most often in the top creative tier.

   How it works

   Only confirmed orders at the low budget unlock the next step. UGC that underperforms is replaced by founder-led video, not given more budget. Statics are added after a video wins. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Through Month 2 to Month 4, push toward ₹5L–₹7L: the budget rises gently while return holds, and Instagram Feed carries the most spend and Instagram Reels the next. Cut regional-language versions of the winning video for the best-selling states. Once purchases are steady, add lookalikes of past buyers next to broad prospecting.

   Why

   In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. Budget is part-stepped in three of these months, taking only what return will carry. 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

   The regional versions run next to the original. Lookalikes are read against broad on the same creative. Most of the final month's spend sits on Instagram Feed, then Instagram Reels. 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 ₹5L–₹7L only as far as return allows. Build lookalikes from repeat buyers and retarget past buyers with new arrivals. Hold a creative bank and swap tired ads out before click-through falls.

   Why

   Growth slows from Month 5, still short of ₹5L–₹7L. Budget stays about level over these months. An order from a returning buyer costs the least. In one account we measured, click-through fell before revenue did; refresh is how that is avoided.

   How it works

   Past buyers see new arrivals before anyone else. The bank means a tired ad is replaced the week it tires.

1. Month 1

   Learning month: the first ads run on a small daily budget while tracking is checked against store orders. The daily sheet now matches platform revenue to store orders. The store fix list is live, with reviews on product pages and a prepaid offer.

   • Projected revenue ₹62,159
   • Projected ROAS 1.93x
   • Planned ad spend ₹32,146
2. Month 2

   Scaling begins: the creative bank supplies this period's refresh. The step is sized by what return will bear: with budget steps up, return on spend holds.

   • Projected revenue ₹75,667
   • Projected ROAS 1.91x
   • Planned ad spend ₹39,541
3. Month 3

   A past-buyer lookalike audience joins broad prospecting. The step is sized by what return will bear: with budget holds, return on spend rises.

   • Projected revenue ₹77,569
   • Projected ROAS 2.00x
   • Planned ad spend ₹38,776
4. Month 4

   Past buyers get the new arrivals ahead of prospecting.

   • Projected revenue ₹79,404
   • Projected ROAS 1.92x
   • Planned ad spend ₹41,302
5. Month 5

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

   • Projected revenue ₹80,591
   • Projected ROAS 1.90x
   • Planned ad spend ₹42,518
6. Month 6

   New creator and customer-feedback videos join the account. The step is sized by what return will bear: with budget holds, return on spend holds. ₹5L–₹7L is not reached in the time, because budget stops rising where return would slip. Cost per purchase ends close to the learning phase.

   • Projected revenue ₹80,176
   • Projected ROAS 1.87x
   • Planned ad spend ₹42,896

1. 01

   Expect Instagram Reels to carry the largest share of spend in measured accounts across all industries.

2. 02

   Falling click-through preceded a revenue drop; creative refresh is not optional.

3. 03

   Product pages rebuilt for a trust-led buyer: offer price, COD, reviews, 30-day money-back guarantee, video reviews