Electronics case study: ₹1L to ₹2.4L monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We start with creative and content, which the brand in this scenario named first, before anything else on this smaller store. We start with a website audit, a creative brief and a monthly media schedule in the first week. We build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting.

   Why

   In this case study, a smaller electronics brand grows monthly revenue in 3 months, from ₹1L to ₹50L (50x). 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 creative and content, with a clear strategy close behind. Later budget calls need something written to be judged against. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   All three are shared with the brand's team before any budget step. Each layer keeps its own budget line.

2. 2

   Measurement & reviews · Month 1 to 3

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We reconcile the return on spend the brand in this scenario reports with store revenue before the first budget change. We agree a written number for every month on the way from ₹1L to ₹50L, and start each review with the month-to-date figure against it.

   Why

   The return on ad spend it reported sits above what measured electronics stores of that size hold; the case study starts from it and allows for some of it to give way as spend rises. Ad platforms claim more orders than stores record, so the store number decides budget. A missed month shows up early instead of at the end of the case study.

   How it works

   Every budget call starts from the store's orders. Both returns are reviewed together each week. Each budget step is argued against the written number.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, static image and catalogue ads, building 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 buy creative in batches and give each batch a fixed read window before buying more. We run creator, customer-feedback and founder-led video. We brief creators for a steady run of UGC video, with regional-language cuts of the winners.

   Why

   Buying more before a batch is read means paying for guesses. Trust-carrying video held return in most measured accounts. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.

   How it works

   Batches that do not convert are cut; winners get the budget. UGC that underperforms is replaced by founder-led video, not given more budget. Winning UGC is cut into regional languages before new ideas are bought. The number of new ads grows with spend; video makes up the largest part and static image the next.

4. 4

   Scaling · Month 2 to 3

   What we do

   We scale through Month 2 to Month 3 toward ₹50L as the budget climbs steeply and return falls, with Instagram Reels taking the largest share of spend and Facebook Feed the next. As spend rises, we mix new creatives in with the proven ones before the old ones tire. We raise budget only while return on spend holds, and cut it when return drops.

   Why

   Across Month 2 to Month 3, the budget climbs steeply, and return on spend falls as it does. Budget is part-stepped in two of these months, taking only what return can carry. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. Frequency climbs with spend, and tired ads lose click-through first.

   How it works

   New creatives join proven ones rather than replacing them all at once. There is no fixed ramp; each month's budget follows the return of the last. 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.

1. Month 1

   Learning month: the first ads run on a small daily budget while tracking is checked against store orders. The media schedule and creative brief are signed off. Reported and store-side returns are reconciled.

   • Revenue ₹1L
   • ROAS 5.11x
   • Ad spend ₹19,945
2. Month 2

   Scaling begins: new creatives join the proven ones. Only the part of the step that return supports is taken: with budget more than doubles, return on spend falls.

   • Revenue ₹2L
   • ROAS 2.91x
   • Ad spend ₹70,380
3. Month 3

   Customer-feedback and creator videos are refreshed. Only the part of the step that return supports is taken: with budget steps up sharply, return on spend falls. ₹50L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends higher than in the learning phase.

   • Revenue ₹2.4L
   • ROAS 2.18x
   • Ad spend ₹1.1L

1. 1

   Scaling built on video creative, bundle offers and a cost-control campaign

2. 2

   Reconciled ad-platform and Shopify figures every month after cancellations

3. 3

   Website fixes: shop-by-phone-brand menu, reviews and trust pointers on product pages