Beauty & skincare case study: plan for ₹80L+ to ₹2.24Cr monthly revenue in 1.5–2 years
01 · Plan
Month by month
Monthly plan
| Month | Phase | Planned ad spend | Projected revenue | Projected ROAS | Projected purchases | Projected cost per purchase |
|---|---|---|---|---|---|---|
| At enquiry, self-reported | – | – | ₹80L+ | – | – | – |
| Month 1 | Learning | ₹16,10,912 | ₹74,24,193 | 4.61x | 5,705 | ₹282 |
| Month 2 | Scaling | ₹18,70,203 | ₹82,38,805 | 4.41x | 6,514 | ₹287 |
| Month 3 | Scaling | ₹23,03,522 | ₹91,01,820 | 3.95x | 7,050 | ₹327 |
| Month 4 | Scaling | ₹24,56,663 | ₹92,49,683 | 3.77x | 7,081 | ₹347 |
| Month 5 | Scaling | ₹31,40,868 | ₹1,09,16,726 | 3.48x | 8,671 | ₹362 |
| Month 6 | Scaling | ₹34,05,464 | ₹1,23,28,830 | 3.62x | 9,580 | ₹355 |
| Month 7 | Scaling | ₹43,68,217 | ₹1,45,75,690 | 3.34x | 11,212 | ₹390 |
| Month 8 | Scaling | ₹55,13,176 | ₹1,70,97,441 | 3.10x | 13,070 | ₹422 |
| Month 9 | Scaling | ₹69,90,629 | ₹2,08,86,384 | 2.99x | 16,108 | ₹434 |
| Month 10 | Scaling | ₹73,70,539 | ₹2,16,99,801 | 2.94x | 16,452 | ₹448 |
| Month 11 | Scaling | ₹74,98,425 | ₹2,17,04,719 | 2.89x | 16,614 | ₹451 |
| Month 12 | Scaling | ₹73,66,481 | ₹2,14,99,304 | 2.92x | 16,601 | ₹444 |
| Month 13 | Scaling | ₹74,87,363 | ₹2,15,03,561 | 2.87x | 17,472 | ₹429 |
| Month 14 | Scaling | ₹75,46,552 | ₹2,16,36,132 | 2.87x | 16,732 | ₹451 |
| Month 15 | Scaling | ₹73,89,833 | ₹2,20,81,294 | 2.99x | 17,450 | ₹423 |
| Month 16 | Scaling | ₹76,33,051 | ₹2,17,52,559 | 2.85x | 17,188 | ₹444 |
| Month 17 | Steady | ₹75,91,360 | ₹2,23,15,563 | 2.94x | 17,510 | ₹434 |
| Month 18 | Steady | ₹75,91,360 | ₹2,18,49,992 | 2.88x | 16,794 | ₹452 |
| Month 19 | Steady | ₹75,91,360 | ₹2,31,88,302 | 3.05x | 17,967 | ₹423 |
| Month 20 | Steady | ₹75,84,907 | ₹2,24,58,092 | 2.96x | 17,296 | ₹439 |
| Month 21 | Steady | ₹75,43,201 | ₹2,17,44,016 | 2.88x | 16,944 | ₹445 |
| Month 22 | Steady | ₹74,55,708 | ₹2,20,57,201 | 2.96x | 17,110 | ₹436 |
| Month 23 | Steady | ₹74,17,954 | ₹2,31,07,984 | 3.12x | 18,151 | ₹409 |
| Month 24 | Steady | ₹74,07,153 | ₹2,23,69,214 | 3.02x | 18,041 | ₹411 |
| Total | ₹14,41,34,901 | ₹44,07,87,306 | 3.06x | 3,43,313 | ₹420 |
02 · Funnel
Projected funnel, first view to purchase · month 24
- Impressions10,41,61,167
- Link clicks13,68,3021.31% of impressions
- Landing-page views8,86,31264.77% of link clicks0.851% of impressions
- Added to cart1,38,41215.62% of landing-page views0.133% of impressions
- Checkout started62,68045.29% of added to cart0.06% of impressions
- Purchases18,04128.78% of checkout started0.017% of impressions
0.017% of impressions became purchases
03 · Mix
Where the planned budget goes · month 24
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| ₹42,64,551 | 57.6% | 10,357 | 3.01x | ₹412 | |
| ₹29,27,619 | 39.5% | 7,150 | 3.03x | ₹409 | |
| Audience Network | ₹2,14,983 | 2.9% | 534 | 3.08x | ₹403 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Instagram Reels | ₹18,11,034 | 24.4% | 4,414 | 3.02x | ₹410 |
| Facebook Feed | ₹17,40,709 | 23.5% | 4,156 | 2.96x | ₹419 |
| Instagram Feed | ₹16,63,091 | 22.5% | 4,152 | 3.10x | ₹401 |
| Facebook Reels | ₹9,67,798 | 13.1% | 2,450 | 3.14x | ₹395 |
| Instagram Stories | ₹7,90,426 | 10.7% | 1,791 | 2.81x | ₹441 |
| Audience Network | ₹2,14,983 | 2.9% | 534 | 3.08x | ₹403 |
| Facebook Stories | ₹1,26,601 | 1.7% | 314 | 3.08x | ₹403 |
| Facebook Video | ₹92,511 | 1.2% | 230 | 3.08x | ₹402 |
| Segment | Planned ad spend | Share of spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹60,87,334 | 82.2% | 14,765 | 3.01x | ₹412 |
| Retargeting (warm audiences) | ₹8,45,829 | 11.4% | 2,136 | 3.13x | ₹396 |
| Advantage+ shopping | ₹2,85,970 | 3.9% | 696 | 3.02x | ₹411 |
| Lookalike audiences | ₹1,88,020 | 2.5% | 444 | 2.93x | ₹423 |
04 · Creatives
Planned creative mix · month 24
New ads per month
| Creative type | Tier | Planned ad spend | Projected purchases | Projected ROAS | Projected cost per purchase |
|---|---|---|---|---|---|
| Static image | Moderate | ₹17,71,561 | 5,169 | 3.62x | ₹343 |
| UGC / creator video | Moderate | ₹4,23,492 | 1,180 | 3.45x | ₹359 |
| Catalogue (dynamic product ads) | Moderate | ₹8,34,112 | 2,178 | 3.24x | ₹383 |
| Video | Watchlist | ₹39,14,828 | 8,540 | 2.70x | ₹458 |
| Carousel | Watchlist | ₹4,63,160 | 974 | 2.61x | ₹476 |
05 · How we'd help
How we'd help, why, and how it works
Research & offer · Month 1
What we'd do
Aim the first month at scaling ad spend, the problem named at booking, on a established base. Build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting. Get the store ready for paid traffic first: reviews and trust pointers on product pages, a visible return window, an about page and a reason to pay upfront. Open with three documents: a website audit, a creative brief and a media plan by month.
Why
An established beauty and skincare brand came to us to grow monthly revenue in 1.5–2 years, from ₹80L+ to ₹10Cr (12.5x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan below is modelled on what that fastest tenth reached and shows where it lands against the target. At booking, the brand named scaling ad spend as its main problem. Without layers, retargeting quietly eats the prospecting budget. Conversion rate caps what any ad budget can return.
How it works
Retargeting sits next to prospecting and never replaces it. Site fixes are handed over in the first weeks, before budget rises. The audit, the brief and the media plan are shared before spend rises.
Measurement & targets · Month 1 to 24
What we'd do
Track ad-platform revenue beside store revenue and net sales after returns, cancellations and tax. Agree a written target for every month on the way from ₹80L+ to ₹10Cr, and start each review with the month-to-date figure against it. Raise budget in a month only while return holds; where it would slip too far, hold it.
Why
It did not report a return on ad spend, so the plan starts from what measured stores of that size hold. Returns, cancellations and tax cut logged revenue, so targets are set on net sales. A missed month shows up early instead of at the end of the plan.
How it works
Budget decisions are read off net sales, not the ad platform alone. The target for the month is on the page at every review. Where return would slip too far, the month keeps last month's budget.
Creative testing · Month 1
What we'd do
Lead the testing layer with video, static image and catalogue ads, building to several dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. Separate the lead products into their own campaigns and review each one weekly. The learning month runs with a deliberately small daily budget until orders prove the buyer. Test static images beside video.
Why
Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. In measured beauty and skincare accounts, UGC and creator video reached the top creative tier most often.
How it works
Budget follows the products that sell. Only confirmed orders at the low budget unlock the next step. Statics join once a winning video is found. New ads rise with the budget, most of them video, then static image.
Scaling · Month 2 to 16
What we'd do
Scale through Month 2 to Month 16 toward ₹10Cr as the budget climbs steeply and return falls, with Instagram Reels taking the largest share of spend and Facebook Feed the next. Test cost caps, bid caps and CBO against ABO side by side before each budget step. Let return decide budget: more while it holds, less when it slips. Recover abandoned checkouts with WhatsApp messages as traffic grows.
Why
In Month 2 to Month 16 the modelled budget climbs steeply, and return on spend falls as it does. Several of these months stop their budget step where return would slip too far. Two of these months hold the budget where it is until return improves. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. Controls show which setup holds cost per purchase as spend rises.
How it works
Controls run as parallel versions and the one that holds cost is kept. Budget follows return month to month instead of a fixed ramp. WhatsApp recovery runs alongside paid retargeting, not instead of it. Most of the final month's spend sits on Instagram Reels, then Facebook Feed. Most spend reaches people who have not bought yet; past visitors return more per rupee.
Steady state · Month 17 to 24
What we'd do
From Month 17, protect the revenue already built and move toward ₹10Cr where return permits. Keep a bank of ready creatives and rotate them in as ads tire. Hold targets on net sales as volume grows, since returns rise with it. Recover abandoned checkouts and lift repeat orders with WhatsApp messages.
Why
From Month 17 growth slows while revenue is still under ₹10Cr. Spend holds roughly steady from here. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. Net sales ran below logged store revenue in our measured accounts.
How it works
Refreshes are gradual: a few new ads at a time. Each review opens with net sales against the target. Messages run beside retargeting ads.
06 · Milestones
Projected milestones by month
- Month 1
First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. Testing, scaling and retargeting now run as separate layers. Reviews, trust pointers and the prepaid incentive are now on the store.
- Projected revenue ₹74.2L
- Projected ROAS 4.61x
- Planned ad spend ₹16.1L
- Month 2
Scaling starts: budget is reviewed against return before the next step. Return dips as the budget steps up.
- Projected revenue ₹82.4L
- Projected ROAS 4.41x
- Planned ad spend ₹18.7L
- Month 3
Cost caps and bid caps are tested against open bidding.
- Projected revenue ₹91L
- Projected ROAS 3.95x
- Planned ad spend ₹23L
- Month 4
Abandoned checkouts get WhatsApp follow-ups. Return dips as the budget holds.
- Projected revenue ₹92.5L
- Projected ROAS 3.77x
- Planned ad spend ₹24.6L
- Month 5
Tired ads are refreshed from the creative bank. Return dips as the budget steps up.
- Projected revenue ₹1.09Cr
- Projected ROAS 3.48x
- Planned ad spend ₹31.4L
- Month 6
Budget shifts to the products that sold this period. Return rises as the budget holds.
- Projected revenue ₹1.23Cr
- Projected ROAS 3.62x
- Planned ad spend ₹34.1L
- Month 7
Past buyers get a WhatsApp nudge for their next order. Return dips as the budget steps up.
- Projected revenue ₹1.46Cr
- Projected ROAS 3.34x
- Planned ad spend ₹43.7L
- Month 8
Statics go live next to the winning video.
- Projected revenue ₹1.71Cr
- Projected ROAS 3.10x
- Planned ad spend ₹55.1L
- Month 9
The budget decision is taken on the return the last step earned.
- Projected revenue ₹2.09Cr
- Projected ROAS 2.99x
- Planned ad spend ₹69.9L
- Month 10
Bid-cap and cost-cap versions run beside open bidding. Budget goes up only as far as return can carry it: return holds as the budget holds.
- Projected revenue ₹2.17Cr
- Projected ROAS 2.94x
- Planned ad spend ₹73.7L
- Month 11
Abandoned checkouts get WhatsApp follow-ups.
- Projected revenue ₹2.17Cr
- Projected ROAS 2.89x
- Planned ad spend ₹75L
- Month 12
Tired ads are refreshed from the creative bank. Return has not reached the level that would justify more budget, so return holds as the budget holds.
- Projected revenue ₹2.15Cr
- Projected ROAS 2.92x
- Planned ad spend ₹73.7L
- Month 13
Products that do not sell are paused and budget moves to the winners. Budget goes up only as far as return can carry it: return holds as the budget holds.
- Projected revenue ₹2.15Cr
- Projected ROAS 2.87x
- Planned ad spend ₹74.9L
- Month 14
Past buyers get a WhatsApp nudge for their next order.
- Projected revenue ₹2.16Cr
- Projected ROAS 2.87x
- Planned ad spend ₹75.5L
- Month 15
Statics go live next to the winning video. Return has not reached the level that would justify more budget, so return rises as the budget holds.
- Projected revenue ₹2.21Cr
- Projected ROAS 2.99x
- Planned ad spend ₹73.9L
- Month 16
The budget decision is taken on the return the last step earned. Budget goes up only as far as return can carry it: return dips as the budget holds.
- Projected revenue ₹2.18Cr
- Projected ROAS 2.85x
- Planned ad spend ₹76.3L
- Month 17
From here the work shifts to keeping ads fresh and bringing buyers back. Return has not reached the level that would justify more budget, so return holds as the budget holds.
- Projected revenue ₹2.23Cr
- Projected ROAS 2.94x
- Planned ad spend ₹75.9L
- Month 18
Cost caps and bid caps are tested against open bidding.
- Projected revenue ₹2.18Cr
- Projected ROAS 2.88x
- Planned ad spend ₹75.9L
- Month 19
Abandoned checkouts get WhatsApp follow-ups.
- Projected revenue ₹2.32Cr
- Projected ROAS 3.05x
- Planned ad spend ₹75.9L
- Month 20
Tired ads are refreshed from the creative bank.
- Projected revenue ₹2.25Cr
- Projected ROAS 2.96x
- Planned ad spend ₹75.8L
- Month 21
Budget shifts to the products that sold this period.
- Projected revenue ₹2.17Cr
- Projected ROAS 2.88x
- Planned ad spend ₹75.4L
- Month 22
Repeat-order messages go to past buyers.
- Projected revenue ₹2.21Cr
- Projected ROAS 2.96x
- Planned ad spend ₹74.6L
- Month 23
Static images are tested beside the winning video.
- Projected revenue ₹2.31Cr
- Projected ROAS 3.12x
- Planned ad spend ₹74.2L
- Month 24
Each budget move is read against the return it bought. Return has not reached the level that would justify more budget, so return holds as the budget holds. ₹10Cr is not reached in the time, because budget stops rising where return would slip. Cost per purchase ends higher than in the learning phase.
- Projected revenue ₹2.24Cr
- Projected ROAS 3.02x
- Planned ad spend ₹74.1L
07 · Learnings
Learnings from brands we measured
Test UGC / creator video alongside the main format: it reached the top creative tier most often in this industry's measured accounts.
Ask for a product-level festive forecast so spend follows stock.
New product pieces and post-Diwali product tests from fresh creative
Services behind this plan: Performance marketing · Ads video creation · Book a call
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