Electronics case study: ₹8L to ₹61L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We open with set-up work on the mid-sized electronics store, since the brand in this scenario named no single problem. We open with three documents: a website audit, a creative brief and a media schedule by month. We ask for a product-level stock count so spend follows what can ship.

   Why

   In this case study, a mid-sized electronics brand grows monthly revenue in 6 months, from ₹8L to ₹1.5Cr (18.8x). 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 brand in this scenario named no single problem, so the case study starts from the numbers. A written brief gives every later budget decision a reference point. Scaling ads on a product that sells out wastes the peak.

   How it works

   The brief is agreed first; spend follows it. Spend is set against stock by product.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We track ad-platform revenue beside store orders in a shared daily sheet. We write month-by-month revenue numbers with the brand's team that climb from ₹8L to ₹1.5Cr, and open every review with the month-to-date number against them. We raise budget in a month only while return holds; where it slips too far, we hold 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. Platform attribution over-counts, so budget decisions sit on the store-side number. 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. The month's number is on the page at every review. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, static image and catalogue ads, building to several dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. We separate the lead products into their own campaigns and review each one weekly. The learning month runs at a low daily budget and moves up only when orders come through. We test several interest clusters against a broad audience, with video and catalogue ads.

   Why

   Products that do not sell show up inside a week, not after a month of shared budget. Early spend buys learning, not scale. Buyers split by use case, so clusters show which one buys before budget is committed.

   How it works

   Budget follows the products that sell. The low budget stays until orders confirm the buyer. Clusters are read against broad before the scaling budget is set. New ads rise with the budget, most of them video, then static image.

4. 4

   Scaling · Month 2 to 4

   What we do

   We scale through Month 2 to Month 4 toward ₹1.5Cr as the budget climbs steeply and return falls, with Instagram Reels taking the largest share of spend and Facebook Feed the next. We run cost caps, bid caps, CBO and ABO as parallel versions before budget steps up. We set spend against stock with a product-level stock count, and scale with bundle offers and a cost-control campaign.

   Why

   Across Month 2 to Month 4, the budget climbs steeply, and return on spend falls as it does. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. Parallel controls reveal which setup keeps cost per purchase down as spend grows.

   How it works

   The version that keeps cost per purchase lowest stays. Spend is set against stock by product. 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 5 to 6

   What we do

   From Month 5, we protect the revenue already built and move toward ₹1.5Cr where return permits. We use WhatsApp for abandoned checkouts and for past buyers' next order. We keep a bank of ready creatives and rotate them in as ads tire.

   Why

   Growth slows from Month 5, still short of ₹1.5Cr. Budget keeps rising, more slowly than in the scaling months. A message to someone who nearly bought costs less than an ad. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional.

   How it works

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

1. Month 1

   Learning month: a small daily budget carries the first ads, and store orders are matched to tracking. The audit, brief and media schedule are agreed with the brand's team. Store orders and platform revenue are reconciled in the shared sheet.

   • Revenue ₹8L
   • ROAS 3.78x
   • Ad spend ₹2.1L
2. Month 2

   Scaling starts: bundle offers run with a cost-control campaign. Spend steps up, and return holds.

   • Revenue ₹10.9L
   • ROAS 3.63x
   • Ad spend ₹3L
3. Month 3

   Tired ads are refreshed from the creative bank. Spend steps up sharply, and return dips.

   • Revenue ₹19.9L
   • ROAS 3.43x
   • Ad spend ₹5.8L
4. Month 4

   Cost caps and bid caps are tested against open bidding. Spend more than doubles, and return falls.

   • Revenue ₹46.8L
   • ROAS 2.84x
   • Ad spend ₹16.5L
5. Month 5

   Steady phase begins: creative refresh and repeat orders take on more of the work. Budget goes up only as far as return can carry it: spend steps up, and return holds.

   • Revenue ₹60.5L
   • ROAS 2.84x
   • Ad spend ₹21.3L
6. Month 6

   Products that do not sell are paused and budget moves to the winners. Budget goes up only as far as return can carry it: spend holds, and return holds. The case study finishes short of ₹1.5Cr: budget stops rising where return starts to slip. Each order costs more by the end than it did while learning.

   • Revenue ₹61L
   • ROAS 2.68x
   • Ad spend ₹22.7L

1. 1

   Run several interest clusters plus a broad audience with video and catalogue ads, then a bundle offer and a cost-control campaign to scale.

2. 2

   Ask for a product-level festive stock count so spend follows stock.

3. 3

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