Kids case study: ₹40,000 to ₹47,742 monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   The first problem in this scenario is turning visits into orders, so the opening week on this smaller store goes there. 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 add cart-value offers that step up at set basket sizes to lift order value.

   Why

   In this case study, a smaller kids brand grows monthly revenue in 2 months, from ₹40,000 to ₹1.5L (3.8x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the case study follows the pace of that top tenth, holds budget where return starts to slip, and does not force the number. The main problem in this scenario is turning visits into orders. Every rupee of ads is capped by how well the store turns visits into orders. A larger basket spreads the cost of each order over more revenue.

   How it works

   Site fixes are handed over in the first weeks, before budget rises. Offers are tuned to the order values that already sell.

2. 2

   Measurement & reviews · Week 1 to 9

   What we do

   We write week-by-week revenue numbers with the brand's team that climb from ₹40,000 to ₹1.5L, and open every review with the week-to-date number against them. We keep a shared daily sheet with the ad platform's revenue next to real store orders. We set a written rule: no budget step in a week where return falls too far to pay for it.

   Why

   No starting return on ad spend was given; the starting return is what measured kids stores of that size hold. A missed week 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

   Each budget step is argued against the written number. Budget decisions are read off store numbers, not the ad platform alone. Where return starts to slip too far, the week keeps last week's budget.

3. 3

   Creative testing · Week 1 to 4

   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 last four weeks, keeping carousel on a short leash because its return trails the account. We lead with video that carries trust: creators, customer feedback and founder-led pieces. We test catalogue ads state by state and city by city, with close lookalikes of past buyers. We work in creative batches with a fixed read window each.

   Why

   In most accounts we measured, video that carried trust held its return. Kids' demand varies by region and season. A fixed window stops spend chasing a creative before it has been read.

   How it works

   Low-quality UGC is pulled and founder-led video takes its place. Regions that convert keep their catalogue sets; the rest are cut. Batches that do not convert are cut; winners get the budget. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Week 5 to 9

   What we do

   We scale through Week 5 to Week 9 as far toward ₹1.5L as return allows as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We recover abandoned checkouts with WhatsApp messages as traffic grows. We move budget in three-to-four-day windows at campaign level.

   Why

   In Week 5 to Week 9 the budget rises gently, while return on spend holds. Four of these weeks stop their budget step where return starts to slip too far. Return holds through these weeks because each budget step stops where return starts to slip. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   WhatsApp recovery runs alongside paid retargeting, not instead of it. Each window is read on purchases and cost per purchase before the next move. Most of the last four weeks's spend sits on Instagram Reels, then Instagram Feed. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Week 1

   First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. The store fix list is live, with reviews on product pages and a prepaid offer. Store orders and ad-platform revenue are checked side by side.

   • Revenue ₹9,539
   • ROAS 1.87x
   • Ad spend ₹5,106
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. With budget holds, return on spend holds.

   • Revenue ₹8,966
   • ROAS 1.88x
   • Ad spend ₹4,781
3. Week 3

   Offers and store fixes switch on as the first orders confirm.

   • Revenue ₹9,247
   • ROAS 1.90x
   • Ad spend ₹4,868
4. Week 4

   The learning phase ends with a buyer identified and a winning ad chosen.

   • Revenue ₹9,088
   • ROAS 1.86x
   • Ad spend ₹4,873
5. Week 5

   Scaling begins: catalogue sets are kept in regions that convert and cut elsewhere. With budget holds, return on spend rises.

   • Revenue ₹10,169
   • ROAS 1.94x
   • Ad spend ₹5,252
6. Week 6

   Budget moves in short windows at campaign level. Only the part of the step that return supports is taken: with budget steps up, return on spend holds.

   • Revenue ₹11,297
   • ROAS 1.89x
   • Ad spend ₹5,983
7. Week 7

   New creator and customer-feedback videos join the account. Only the part of the step that return supports is taken: with budget holds, return on spend holds.

   • Revenue ₹11,939
   • ROAS 1.89x
   • Ad spend ₹6,333
8. Week 8

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

   • Revenue ₹12,147
   • ROAS 1.88x
   • Ad spend ₹6,451
9. Week 9

   Abandoned checkouts get WhatsApp follow-ups. Only the part of the step that return supports is taken: with budget holds, return on spend holds. Revenue ends below ₹1.5L, the number this scenario calls for, because budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹12,359
   • ROAS 1.91x
   • Ad spend ₹6,457

1. 1

   After a fall: pick hero categories, fix the pixel, and bring in festive creator content.

2. 2

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

3. 3

   We recover abandoned checkouts and lift repeat orders with WhatsApp messages.