Beauty & skincare case study: ₹2L to ₹2.4L monthly revenue in 5–6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We set up the base for a smaller beauty and skincare store before any budget rises. We start with a website audit, a creative brief and a monthly media schedule in the first week. We use cart-value tiers so larger baskets earn a better offer.

   Why

   In this case study, a smaller beauty and skincare brand grows monthly revenue in 5–6 months, from ₹2L to ₹50L (25x). 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 brand in this scenario named no single problem, so the case study starts from the numbers. A written brief gives every later budget decision a reference point. A larger basket spreads the cost of each order over more revenue.

   How it works

   The brief is agreed first; spend follows it. Tier levels are set just above the basket sizes buyers already reach.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We log store orders every day beside what the ad platform claims. We write month-by-month revenue numbers with the brand's team that climb from ₹2L to ₹50L, and open every review with the month-to-date number against them. We raise budget in a month only while return holds; where it slips too far, we hold it.

   Why

   No starting return on ad spend was given; the starting return is what measured beauty and skincare stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   The sheet is read before each budget change. Written monthly numbers make each scaling decision explicit. Where return slips too far, the month keeps last month's budget.

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, with carousel watched closely since it returns less than the rest. We work in creative batches with a fixed read window each. We run every lead product in a campaign of its own, read every week. We test static images beside video.

   Why

   The read window keeps creative spending tied to evidence. Shared campaigns hide weak products; separate ones expose them fast. In measured beauty and skincare accounts, UGC and creator video reached the top creative tier most often.

   How it works

   Only ads that convert inside the window keep running. A product that does not sell is paused inside the week. Statics are added after a video wins. 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 rises gently and return dips, and Instagram Reels carries the most spend and Instagram Feed the next. We refresh tired ads by mixing old and new creatives as spend rises. We raise budget only while return on spend holds, and cut it when return drops.

   Why

   In Month 2 to Month 4 the budget rises gently, and return on spend dips. Three of these months stop their budget step where return slips too far. In measured accounts, scaling spend raised cost per order and lowered return on spend, so each step waits for return to hold. Frequency climbs with spend, and tired ads lose click-through first.

   How it works

   New creatives join proven ones rather than replacing them all at once. Budget follows return month to month instead of a fixed ramp. 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 5 to 6

   What we do

   From Month 5, we hold the gains and push toward ₹50L only as far as return allows. We refresh tired ads by mixing old and new creatives, and keep a creative bank. We stop pushing budget once return has peaked.

   Why

   Growth slows from Month 5, still short of ₹50L. Spend holds roughly steady from here. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. Return on spend fell from its peak month in most of our engagements; peaks do not hold.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. Budget stays at the level of the best return and is trimmed when it slips.

1. Month 1

   First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. The audit, brief and media schedule are agreed with the brand's team. Basket-size offers switch on at checkout.

   • Revenue ₹2L
   • ROAS 2.00x
   • Ad spend ₹99,348
2. Month 2

   Scaling starts: each budget move is read against the return it bought. Budget is raised only as far as return allows: spend steps up, and return dips.

   • Revenue ₹2.1L
   • ROAS 1.88x
   • Ad spend ₹1.1L
3. Month 3

   Ads with falling click-through are swapped from the bank. Budget is raised only as far as return allows: spend holds, and return holds.

   • Revenue ₹2.3L
   • ROAS 1.90x
   • Ad spend ₹1.2L
4. Month 4

   Budget shifts to the products that sold this period.

   • Revenue ₹2.4L
   • ROAS 1.91x
   • Ad spend ₹1.2L
5. Month 5

   The case study moves into its steady phase, leaning on refreshed ads and repeat buyers.

   • Revenue ₹2.4L
   • ROAS 1.97x
   • Ad spend ₹1.2L
6. Month 6

   Fresh ads are mixed in beside the proven set. Budget is raised only as far as return allows: spend holds, and return holds. ₹50L 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 ₹2.4L
   • ROAS 1.91x
   • Ad spend ₹1.3L

1. 1

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

2. 2

   Build audiences on the buyer's life and profession rather than health-condition interests.

3. 3

   Ask for a product-level festive stock count so spend follows stock.