Electronics case study: ₹6L–₹8L to ₹11.2L monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   We focus the first week on creative and content, the brand’s main problem, on a mid-sized base. We start with a website audit, a creative brief and a monthly media schedule in the first week. We set basket-size offers that reward a second and third item in the cart.

   Why

   A mid-sized electronics brand grows monthly revenue in 2 months, from ₹6L–₹8L to ₹20L–₹30L (3.6x). 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 rather than forcing the number. The main problem was creative and content, followed by a clear strategy. Without a brief, each creative and budget decision starts from scratch. Higher order value lowers the share of each order that goes to ads.

   How it works

   All three are shared with the brand's team before any budget step. Offers are tuned to the order values that already sell.

2. 2

   Measurement & reviews · Week 1 to 9

   What we do

   We agree a written number for every week on the way from ₹6L–₹8L to ₹20L–₹30L, and start each review with the week-to-date figure against it. We log store orders every day beside what the ad platform claims. We set a written rule: no budget step in a week 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 electronics stores of that size hold. A missed week shows up early instead of at the end of the case study. The ad platform's own count runs high, so the store's count is the one that moves budget.

   How it works

   The week's number is on the page at every review. Every budget call starts from the store's orders. A week whose return starts to slip past that point keeps its budget instead.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We test with video, static image and catalogue ads first, rising to a few dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. We commission ads in batches, and read each batch for a set window before ordering the next. We run creator, customer-feedback and founder-led video. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages.

   Why

   A fixed window stops spend chasing a creative before it has been read. In most accounts we measured, video that carried trust held its return. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.

   How it works

   Only ads that convert inside the window keep running. UGC that underperforms is replaced by founder-led video, not given more budget. Regional cuts of a winner come before new ideas. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Week 5 to 9

   What we do

   Through Week 5 to Week 9, we push as far toward ₹20L–₹30L as return allows: the budget climbs in steps and return falls, and Facebook Feed carries the most spend and Instagram Reels the next. As spend rises, we mix new creatives in with the proven ones before the old ones tire. We test cost caps, bid caps and CBO against ABO side by side before each budget step.

   Why

   In Week 5 to Week 9 the budget climbs in steps, and return on spend falls as it does. In one of these weeks the step is trimmed to the size return can hold. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. More spend means the same people see an ad more often, and click-through fades.

   How it works

   Proven ads stay while new ones are added. Controls run as parallel versions and the one that holds cost is kept. In the last four weeks, Facebook Feed takes the most spend and Instagram Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

1. Week 1

   Learning starts: 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. Store orders and ad-platform revenue are checked side by side.

   • Revenue ₹1.5L
   • ROAS 3.14x
   • Ad spend ₹48,823
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. Return holds as the budget holds.

   • Revenue ₹1.5L
   • ROAS 3.18x
   • Ad spend ₹47,017
3. Week 3

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

   • Revenue ₹1.5L
   • ROAS 3.28x
   • Ad spend ₹45,855
4. Week 4

   The learning phase ends with a buyer identified and a winning ad chosen. Return dips as the budget steps up.

   • Revenue ₹1.6L
   • ROAS 3.00x
   • Ad spend ₹52,679
5. Week 5

   Scaling begins: cost caps and bid caps are tested against open bidding. Return holds as the budget holds.

   • Revenue ₹1.6L
   • ROAS 3.09x
   • Ad spend ₹53,010
6. Week 6

   This batch's read is done: winners stay, the rest are cut. Return dips as the budget steps up.

   • Revenue ₹2.1L
   • ROAS 2.72x
   • Ad spend ₹78,839
7. Week 7

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

   • Revenue ₹2.7L
   • ROAS 2.48x
   • Ad spend ₹1.1L
8. Week 8

   Fresh ads are mixed in beside the proven set.

   • Revenue ₹3.2L
   • ROAS 2.32x
   • Ad spend ₹1.4L
9. Week 9

   The winning UGC runs in regional-language versions. The budget step stops where return starts to slip: return dips as the budget holds. ₹20L–₹30L is not reached in the time, because the case study follows what the fastest tenth of our measured accounts reached. Each order costs more by the end than it did while learning.

   • Revenue ₹3.1L
   • ROAS 2.21x
   • Ad spend ₹1.4L

1. 1

   Six interest clusters, from tech and gaming to fashion, plus a broad audience, with video and catalogue ads

2. 2

   Net sales ran below logged store revenue after returns, cancellations and tax.

3. 3

   Kept a creatives bank and 4–8 social posts a month