Health & wellness case study: ₹30,000 to ₹46,958 monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We point the first month at turning visits into orders, the brand’s main problem, on a smaller base. We fix the store before scaling: trust pointers, reviews, a clear return window, an about page and a prepaid incentive. 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 6 months, from ₹30,000 to ₹1L (3.3x). 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 in this scenario is turning visits into orders. No budget returns more than the store converts. Higher order value lowers the share of each order that goes to ads.

   How it works

   The fix list goes to the brand's team in the opening weeks, ahead of any budget step. The tiers follow real order values, not round numbers.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We log store orders every day beside what the ad platform claims. We set the path from ₹30,000 to ₹1L 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

   It did not report a return on ad spend, so the case study starts from what measured health and wellness stores of that size hold. The ad platform's own count runs high, so the store's count is the one that moves 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. The month's number is on the page at every review. 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 carousel first, rising to about two dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. We run every lead product in a campaign of its own, read every week. We make trust the subject of the video: creator reels, customer feedback and founder-led clips. We run static images next to the video ads.

   Why

   Products that do not sell show up inside a week, not after a month of shared budget. Trust-carrying video held return in most measured accounts. In every industry we measured, static images were the format most often in the top creative tier.

   How it works

   A product that does not sell is paused inside the week. UGC that underperforms is replaced by founder-led video, not given more budget. 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 as far toward ₹1L as return allows: the budget rises gently while return holds, and Instagram Reels carries the most spend and Facebook Reels the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We refresh tired ads by mixing old and new creatives as spend rises.

   Why

   In Month 2 to Month 4 the budget rises gently, while return on spend holds. In two of these months budget goes up only as far as return allows, so revenue grows more slowly than the brand's number needs. Each budget step here is sized so that return stays close to where it was. More spend means the same people see an ad more often, and click-through fades.

   How it works

   Budget follows return month to month instead of a fixed ramp. New creatives join proven ones rather than replacing them all at once. Most of the final month's spend sits on Instagram Reels, then Facebook Reels. 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 protect the revenue already built and move toward ₹1L where return permits. We use WhatsApp for abandoned checkouts and for past buyers' next order. We hold a creative bank and swap tired ads out before click-through falls.

   Why

   From Month 5 growth slows while revenue is still under ₹1L. Spend still grows, at a slower pace than during scaling. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout. In one account we measured, click-through fell before revenue did; refresh is how that is avoided.

   How it works

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

1. Month 1

   First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. Store fixes go live: reviews, trust pointers and the prepaid offer. The daily sheet now matches platform revenue to store orders.

   • Revenue ₹30,205
   • ROAS 1.89x
   • Ad spend ₹15,988
2. Month 2

   Scaling begins: products that do not sell are paused and budget moves to the winners. With budget steps up, return on spend holds.

   • Revenue ₹34,098
   • ROAS 1.92x
   • Ad spend ₹17,782
3. Month 3

   Past buyers get a WhatsApp nudge for their next order. The step is sized by what return can bear: as budget steps up, return on spend holds.

   • Revenue ₹40,932
   • ROAS 1.91x
   • Ad spend ₹21,470
4. Month 4

   Budget is reviewed against return before the next step. The step is sized by what return can bear: as budget holds, return on spend holds.

   • Revenue ₹43,148
   • ROAS 1.89x
   • Ad spend ₹22,824
5. Month 5

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

   • Revenue ₹46,425
   • ROAS 1.90x
   • Ad spend ₹24,497
6. Month 6

   Static images are tested beside the winning video. The step is sized by what return can bear: as budget holds, return on spend holds. The case study finishes short of ₹1L: budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹46,958
   • ROAS 1.95x
   • Ad spend ₹24,089

1. 1

   Relaunch on a clean setup when negative comments start hurting delivery.

2. 2

   Rebuilt creative around the two services that convert, plus a founder-led ad

3. 3

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