Health & wellness case study: ₹20,000–₹30,000 to ₹31,352 monthly revenue in 2–3 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 open with three documents: a website audit, a creative brief and a media schedule by month. We add cart-value offers that step up at set basket sizes to lift order value.

   Why

   In this case study, a smaller health and wellness brand grows monthly revenue in 2–3 months, from ₹20,000–₹30,000 to ₹1Cr (400x). 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. Higher order value lowers the share of each order that goes to ads.

   How it works

   The audit, the brief and the media schedule are shared before spend rises. Tier levels are set just above the basket sizes buyers already reach.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We agree a written number for every month on the way from ₹20,000–₹30,000 to ₹1Cr, and start each review with the month-to-date figure against it. 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. Platform attribution over-counts, so budget decisions sit on the store-side number.

   How it works

   The month's number is on the page at every review. The sheet is read before each budget change. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with no format far behind the account's return. The learning month runs at a low daily budget and moves up only when orders come through. We run static images next to the video ads. We give each lead product its own campaign and read it weekly.

   Why

   Spend in the learning phase pays for information. Across measured accounts in all industries, static images reached the top creative tier most often. A product nobody buys is visible within a week when it has its own campaign.

   How it works

   The low budget stays until orders confirm the buyer. Statics are added after a video wins. A product that does not sell is paused inside the week. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 3

   What we do

   Through Month 2 to Month 3, we push toward ₹1Cr: the budget rises gently and return falls, and Instagram Reels carries the most spend and Facebook Reels the next. We make regional-language versions of the winning video for the states that buy most. We refresh tired ads by mixing old and new creatives as spend rises.

   Why

   Across Month 2 to Month 3, the budget rises gently, and return on spend falls as it does. In two of these months the step is trimmed to the size return can hold. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. The same winning idea reaches more buyers in their own language.

   How it works

   Regional cuts run beside the original winner. Proven ads stay while new ones are added. In the final month, Instagram Reels takes the most spend and Facebook Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Month 1

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

   • Revenue ₹25,132
   • ROAS 2.24x
   • Ad spend ₹11,232
2. Month 2

   Scaling begins: products that do not sell are paused and budget moves to the winners. Budget is raised only as far as return allows: with budget steps up, return on spend falls.

   • Revenue ₹30,604
   • ROAS 1.89x
   • Ad spend ₹16,231
3. Month 3

   Static images are tested beside the winning video. Budget is raised only as far as return allows: with budget holds, return on spend holds. Revenue ends below ₹1Cr, the number this scenario calls for, because budget stops rising where return starts to slip. Cost per purchase ends higher than in the learning phase.

   • Revenue ₹31,352
   • ROAS 1.95x
   • Ad spend ₹16,077

1. 1

   Refused to raise budget on sales campaigns alone

2. 2

   Audiences built on the buyer's life and profession rather than health-condition interests

3. 3

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