Health & wellness case study: ₹50,000 to ₹64,921 monthly revenue in 12 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We open with set-up work on the smaller health and wellness store, since the brand in this scenario named no single problem. We start with a website audit, a creative brief and a monthly media schedule in the first week. We set basket-size offers that reward a second and third item in the cart. We layer the account: a creative-testing campaign, a scaling campaign, cold audiences that exclude past buyers, and cart remarketing.

   Why

   In this case study, a smaller health and wellness brand grows monthly revenue in 1 year, from ₹50,000 to ₹1Cr (200x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the case study is built on what the fastest tenth reached, and shows the gap to the agreed number honestly. 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. Higher order value lowers the share of each order that goes to ads.

   How it works

   The brief is agreed first; spend follows it. Offers are tuned to the order values that already sell. Each layer keeps its own budget line.

2. 2

   Measurement & reviews · Month 1 to 12

   What we do

   We log store orders every day beside what the ad platform claims. We set the path from ₹50,000 to ₹1Cr 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

   With no return on ad spend reported, the case study begins at the level measured health and wellness stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written monthly numbers expose a slow month while there is still time to act.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. Written monthly numbers make each scaling decision explicit. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, static image and UGC and creator video 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. We separate the lead products into their own campaigns and review each one weekly. We build creative around the buyer's everyday routine rather than a condition. We 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. Condition claims are restricted and reach the wrong buyer. The read window keeps creative spending tied to evidence.

   How it works

   Losing products are paused within a week and budget moves to the winners. Everyday-routine creative is read against the lifestyle audiences. Losing batches stop; winning ads take their budget. More spend buys more new ads, led by video ahead of static image.

4. 4

   Scaling · Month 2 to 8

   What we do

   We scale through Month 2 to Month 8 toward ₹1Cr as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Reels the next. We cut regional-language versions of the winning video for the best-selling states. We let return decide budget: more while it holds, less when it slips. As spend rises, we mix new creatives in with the proven ones before the old ones tire.

   Why

   Across Month 2 to Month 8, the budget rises gently, while return on spend holds. In several of these months budget goes up only as far as return allows, so revenue grows more slowly than the final number needs. One of these months hold the budget where it is until return improves. Return holds through these months because each budget step stops where return starts to slip. The same winning idea reaches more buyers in their own language.

   How it works

   The regional versions run next to the original. Budget follows return month to month instead of a fixed ramp. Proven ads stay while new ones are added. Most of the final month's spend sits on Instagram Reels, then Facebook Reels. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 9 to 12

   What we do

   From Month 9, we hold the gains and push toward ₹1Cr only as far as return allows. We keep a bank of ready creatives and rotate them in as ads tire. We recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   Growth slows from Month 9, still short of ₹1Cr. Budget stays about level over these months. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   The bank means a tired ad is replaced the week it tires. WhatsApp runs alongside paid retargeting, not instead of it.

1. Month 1

   First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. Store orders and platform revenue are reconciled in the shared sheet. The account runs in layers: testing, scaling and retargeting.

   • Revenue ₹50,795
   • ROAS 1.92x
   • Ad spend ₹26,421
2. Month 2

   Scaling starts: fresh ads are mixed in beside the proven set. Budget rises to the point where return starts to give way: as budget holds, return on spend holds.

   • Revenue ₹53,927
   • ROAS 1.94x
   • Ad spend ₹27,797
3. Month 3

   Budget is reviewed against return before the next step. Budget rises to the point where return starts to give way: as budget steps up, return on spend steps up.

   • Revenue ₹59,917
   • ROAS 1.90x
   • Ad spend ₹31,501
4. Month 4

   Past buyers get a WhatsApp nudge for their next order. Budget rises to the point where return starts to give way: as budget holds, return on spend holds.

   • Revenue ₹62,738
   • ROAS 1.87x
   • Ad spend ₹33,498
5. Month 5

   A new batch goes live after the last one is read.

   • Revenue ₹63,737
   • ROAS 1.88x
   • Ad spend ₹33,866
6. Month 6

   The creative bank supplies this period's refresh.

   • Revenue ₹64,082
   • ROAS 1.87x
   • Ad spend ₹34,290
7. Month 7

   The winner now also runs in regional languages. More budget does not pay at this return, so with budget holds, return on spend rises.

   • Revenue ₹67,065
   • ROAS 1.96x
   • Ad spend ₹34,159
8. Month 8

   The weekly product read pauses the products that are not selling. Budget rises to the point where return starts to give way: as budget holds, return on spend holds.

   • Revenue ₹64,808
   • ROAS 1.89x
   • Ad spend ₹34,214
9. Month 9

   Steady phase begins: creative refresh and repeat orders take on more of the work.

   • Revenue ₹64,874
   • ROAS 1.89x
   • Ad spend ₹34,365
10. Month 10

    Fresh ads are mixed in beside the proven set.

    • Revenue ₹64,303
    • ROAS 1.91x
    • Ad spend ₹33,731
11. Month 11

    Budget is reviewed against return before the next step.

    • Revenue ₹62,950
    • ROAS 1.90x
    • Ad spend ₹33,077
12. Month 12

    Past buyers get a WhatsApp nudge for their next order. Budget rises to the point where return starts to give way: as budget holds, return on spend holds. The case study finishes short of ₹1Cr: budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

    • Revenue ₹64,921
    • ROAS 1.89x
    • Ad spend ₹34,426

1. 1

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

2. 2

   Retargeted video viewers and unfinished form fills; built lookalikes from converted leads

3. 3

   Ran dated creative versions (V1 to V3) in separate campaigns