Health & wellness case study: plan for ₹15,000 to ₹17,495 monthly revenue in 3–5 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Set up the base for a smaller health and wellness store before any budget rises. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Set basket-size offers that reward a second and third item in the cart.

   Why

   A smaller health and wellness brand came to us to grow monthly revenue in 3–5 months, from ₹15,000 to ₹2L–₹5L+ (23.3x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The booking gave no single problem, so the plan starts from the numbers. A written brief gives every later budget decision a reference point. A larger basket spreads the cost of each order over more revenue.

   How it works

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

2. 2

   Measurement & targets · Month 1 to 5

   What we'd do

   Track ad-platform revenue beside store orders in a shared daily sheet. Set the path from ₹15,000 to ₹2L–₹5L+ as written monthly targets, and read every review against the month so far. Set a written rule: no budget step in a month where return would fall too far to pay for it.

   Why

   With no return on ad spend reported, the plan begins at the level measured health and wellness stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. Written targets 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 targets make each scaling decision explicit. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   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 with a deliberately small daily budget until orders prove the buyer. Separate the lead products into their own campaigns and review each one weekly. Build creative around the buyer's everyday routine rather than a condition.

   Why

   Early spend buys learning, not scale. Shared campaigns hide weak products; separate ones expose them fast. Condition claims are restricted and reach the wrong buyer.

   How it works

   Spend steps up only after orders confirm at the low budget. Losing products are paused within a week and budget moves to the winners. Everyday-routine creative is read against the lifestyle audiences. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Scale through Month 2 to Month 3 toward ₹2L–₹5L+ as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. As spend rises, mix new creatives in with the proven ones before the old ones tire.

   Why

   In Month 2 to Month 3 the modelled budget rises gently, while return on spend holds. Budget is part-stepped in two of these months, taking only what return will carry. Return holds through these months because each budget step stops where return would slip. More spend means the same people see an ad more often, and click-through fades.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. 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 Feed. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 4 to 5

   What we'd do

   From Month 4, hold the gains and push toward ₹2L–₹5L+ only as far as return allows. Keep a bank of ready creatives and rotate them in as ads tire. Use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   From Month 4 growth slows while revenue is still under ₹2L–₹5L+. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. A message to someone who nearly bought costs less than an ad.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. Messages run beside retargeting ads.

1. Month 1

   The learning phase opens: tracking is checked against store orders and the first ads go live on a small daily budget. The website audit, creative brief and media plan are shared. Store orders and ad-platform revenue are checked side by side.

   • Projected revenue ₹14,596
   • Projected ROAS 2.02x
   • Planned ad spend ₹7,238
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: return on spend holds while budget steps up.

   • Projected revenue ₹17,434
   • Projected ROAS 1.99x
   • Planned ad spend ₹8,756
3. Month 3

   Fresh ads are mixed in beside the proven set. Budget is raised only as far as return allows: return on spend holds while budget holds.

   • Projected revenue ₹17,513
   • Projected ROAS 1.97x
   • Planned ad spend ₹8,893
4. Month 4

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

   • Projected revenue ₹17,721
   • Projected ROAS 1.97x
   • Planned ad spend ₹8,992
5. Month 5

   Repeat-order messages go to past buyers. Budget is raised only as far as return allows: return on spend holds while budget holds. The plan finishes short of ₹2L–₹5L+: budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹17,495
   • Projected ROAS 1.99x
   • Planned ad spend ₹8,795

1. 01

   Refused to raise budget on sales campaigns alone

2. 02

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

3. 03

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