Health & wellness case study: ₹50,000 to ₹70,114 monthly revenue in 6–8 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We start with creative and content, which the brand in this scenario named first, before anything else on this smaller store. We set basket-size offers that reward a second and third item in the cart. Before budget rises, we close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive. We start with a website audit, a creative brief and a monthly media schedule in the first week.

   Why

   In this case study, a smaller health and wellness brand grows monthly revenue in 6–8 months, from ₹50,000 to ₹10L (20x). 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 main problem was creative and content, followed by marketing and social presence. Each extra item in a basket is revenue the ad has already paid for. Conversion rate caps what any ad budget can return.

   How it works

   Tier levels are set just above the basket sizes buyers already reach. The fix list goes to the brand's team in the opening weeks, ahead of any budget step. The audit, the brief and the media schedule are shared before spend rises.

2. 2

   Measurement & reviews · Month 1 to 8

   What we do

   We set the path from ₹50,000 to ₹10L as written monthly numbers, and read every review against the month so far. We log store orders every day beside what the ad platform claims. 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. A missed month shows up early instead of at the end of the case study. The ad platform's own count runs high, so the store's count is the one that moves budget.

   How it works

   Each budget step is argued against the written number. Budget decisions are read off store numbers, not the ad platform alone. 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 buy creative in batches and give each batch a fixed read window before buying more. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages. We make trust the subject of the video: creator reels, customer feedback and founder-led clips.

   Why

   Buying more before a batch is read means paying for guesses. Regular UGC keeps testing going, and a regional cut stretches a winning idea further. Video built on trust was the format that held return in most measured accounts.

   How it works

   Only ads that convert inside the window keep running. Winning UGC is cut into regional languages before new ideas are bought. Weak UGC is swapped for founder-led video rather than scaled. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Month 2 to 6

   What we do

   Through Month 2 to Month 6, we push toward ₹10L: the budget climbs in steps and return falls, and Instagram Reels carries the most spend and Facebook Reels the next. As spend rises, we mix new creatives in with the proven ones before the old ones tire. We let return decide budget: more while it holds, less when it slips. We cut regional-language versions of the winning video for the best-selling states.

   Why

   In Month 2 to Month 6 the budget climbs in steps, and return on spend falls as it does. In four of these months the step is trimmed to the size return can hold. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. 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. Regional cuts run beside the original winner. In the final month, Instagram Reels takes the most spend and Facebook Reels the next most. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 7 to 8

   What we do

   From Month 7, we hold the gains and push toward ₹10L only as far as return allows. We hold a creative bank and swap tired ads out before click-through falls. We show new arrivals to past buyers first, and build lookalikes from the ones who came back.

   Why

   Growth slows from Month 7, still short of ₹10L. Spend holds roughly steady from here. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early. An order from a returning buyer costs the least.

   How it works

   Refreshes are gradual: a few new ads at a time. New arrivals go to past buyers first, before broad prospecting.

1. Month 1

   Learning month: the first ads run on a small daily budget while tracking is checked against store orders. The audit, brief and media schedule are agreed with the brand's team. Store orders and platform revenue are reconciled in the shared sheet.

   • Revenue ₹46,413
   • ROAS 2.28x
   • Ad spend ₹20,379
2. Month 2

   Scaling starts: regional-language versions of the winner go live. Spend steps up, and return falls.

   • Revenue ₹58,257
   • ROAS 1.99x
   • Ad spend ₹29,247
3. Month 3

   The winning UGC runs in regional-language versions. Budget rises to the point where return starts to give way: spend steps up, and return steps up.

   • Revenue ₹69,748
   • ROAS 1.87x
   • Ad spend ₹37,387
4. Month 4

   Customer-feedback and creator videos are refreshed. Budget rises to the point where return starts to give way: spend holds, and return holds.

   • Revenue ₹72,158
   • ROAS 1.88x
   • Ad spend ₹38,366
5. Month 5

   Tired ads are refreshed from the creative bank.

   • Revenue ₹71,982
   • ROAS 1.88x
   • Ad spend ₹38,200
6. Month 6

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

   • Revenue ₹71,056
   • ROAS 1.93x
   • Ad spend ₹36,783
7. Month 7

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

   • Revenue ₹70,200
   • ROAS 1.88x
   • Ad spend ₹37,277
8. Month 8

   New arrivals go to past buyers first. Budget rises to the point where return starts to give way: spend holds, and return holds. The case study finishes short of ₹10L: budget stops rising where return starts to slip. Cost per purchase ends higher than in the learning phase.

   • Revenue ₹70,114
   • ROAS 1.99x
   • Ad spend ₹35,191

1. 1

   Add static images beside video once a winning video is found.

2. 2

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

3. 3

   Relaunched campaigns on a new pixel the moment hostile comments appeared