Kids case study: ₹50,000 to ₹79,563 monthly revenue in 4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We point the first month at scaling ad spend, the brand’s main problem, on a smaller base. We build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting. We use cart-value tiers so larger baskets earn a better offer.

   Why

   In this case study, a smaller kids brand grows monthly revenue in 4 months, from ₹50,000 to ₹10L (20x). 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 main problem in this scenario is scaling ad spend. Without layers, retargeting quietly eats the prospecting budget. Higher order value lowers the share of each order that goes to ads.

   How it works

   Retargeting sits next to prospecting and never replaces it. Offers are tuned to the order values that already sell.

2. 2

   Measurement & reviews · Month 1 to 4

   What we do

   We track ad-platform revenue beside store orders in a shared daily sheet. We set the path from ₹50,000 to ₹10L as written monthly numbers, and read every review against the month so far. We match the return the brand in this scenario reports to what the store actually took in, before touching budget.

   Why

   Its reported return on ad spend is too low for more budget to pay, so the first months lift return before any budget step. 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

   Budget decisions are read off store numbers, not the ad platform alone. Written monthly numbers make each scaling decision explicit. The store-side return becomes the number every review uses.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to about a dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. We test catalogue ads state by state and city by city, with close lookalikes of past buyers. The learning month runs on a small daily budget, stepping up only once orders confirm. We run creator, customer-feedback and founder-led video.

   Why

   Kids' demand varies by region and season. The first rupees are for finding the buyer, not for volume. In most accounts we measured, video that carried trust held its return.

   How it works

   Regions that convert keep their catalogue sets; the rest are cut. The low budget stays until orders confirm the buyer. UGC that underperforms is replaced by founder-led video, not given more budget. 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 ₹10L: the budget rises gently while return holds, and Instagram Reels carries the most spend and Facebook Feed the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We move budget in three-to-four-day windows at campaign level.

   Why

   Across Month 2 to Month 3, the budget rises gently, while return on spend holds. Two of these months stop their budget step where return slips too far. Return holds through these months because each budget step stops where return starts to slip. Short windows react to category demand without resetting learning every day.

   How it works

   Budget follows return month to month instead of a fixed ramp. Each window is read on purchases and cost per purchase before the next move. Most of the final month's spend sits on Instagram Reels, then Facebook Feed. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 4

   What we do

   From Month 4, we protect the revenue already built and move toward ₹10L where return permits. We refresh tired ads by mixing old and new creatives, and keep a creative bank. We recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   From Month 4 growth slows while revenue is still under ₹10L. Spend still grows, at a slower pace than during scaling. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. WhatsApp runs alongside paid retargeting, not instead of it.

1. Month 1

   First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. The layered account is in place, with retargeting beside prospecting. Store orders and platform revenue are reconciled in the shared sheet.

   • Revenue ₹56,163
   • ROAS 1.86x
   • Ad spend ₹30,140
2. Month 2

   The scaling phase opens: tired ads are refreshed from the creative bank. The budget step stops where return starts to slip: budget steps up and return on spend holds.

   • Revenue ₹63,772
   • ROAS 1.92x
   • Ad spend ₹33,156
3. Month 3

   A fresh round of creator and customer-feedback video goes live.

   • Revenue ₹71,419
   • ROAS 1.88x
   • Ad spend ₹37,974
4. Month 4

   Steady phase begins: creative refresh and repeat orders take on more of the work. The budget step stops where return starts to slip: budget holds and return on spend rises. ₹10L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹79,563
   • ROAS 1.98x
   • Ad spend ₹40,173

1. 1

   Move budget in three-to-four-day windows at campaign level, with catalogue campaigns by collection.

2. 2

   Website audit, creative brief and a monthly media schedule from week one

3. 3

   Tested WhatsApp messages to abandoned checkouts and new arrivals to lift a 12–13% repeat rate