Other case study: plan for ₹6L to ₹12.6L monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Start with marketing and social presence, which the booking named first, before anything else on this mid-sized store. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Fix the store before scaling: trust pointers, reviews, a clear return window, an about page and a prepaid incentive.

   Why

   A mid-sized brand came to us to grow monthly revenue in 3 months, from ₹6L to ₹1Cr (16.7x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The problem named at booking was marketing and social presence. A written brief gives every later budget decision a reference point. Conversion rate caps what any ad budget can return.

   How it works

   The audit, the brief and the media plan are shared before spend rises. Site fixes are handed over in the first weeks, before budget rises.

2. 2

   Measurement & targets · Month 1 to 3

   What we'd do

   Log store orders every day beside what the ad platform claims. Write month-by-month targets with the brand's team that climb from ₹6L to ₹1Cr, and open every review with the month-to-date number against them. Raise budget in a month only while return holds; where it would slip too far, hold it.

   Why

   No return on ad spend was given at booking; the starting return is what measured stores of that size hold. The ad platform's own count runs high, so the store's count is the one that moves budget. Written targets expose a slow month while there is still time to act.

   How it works

   The sheet is read before each budget change. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we'd do

   Lead the testing layer with video, carousel and catalogue ads, building to a few dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Brief creators for a steady run of UGC video, with regional-language cuts of the winners. Lead with video that carries trust: creators, customer feedback and founder-led pieces. The learning month runs at a low daily budget and moves up only when orders come through.

   Why

   A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Video built on trust was the format that held return in most measured accounts. Early spend buys learning, not scale.

   How it works

   Winning UGC is cut into regional languages before new ideas are bought. Low-quality UGC is pulled and founder-led video takes its place. Only confirmed orders at the low budget unlock the next step. More spend buys more new ads, led by video ahead of carousel.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Scale through Month 2 to Month 3 toward ₹1Cr as the budget climbs in steps and return falls, with Instagram Reels taking the largest share of spend and Facebook Feed the next. Raise budget only while return on spend holds, and cut it when return drops. Once purchases are steady, add lookalikes of past buyers next to broad prospecting.

   Why

   In Month 2 to Month 3 the modelled budget climbs in steps, and return on spend falls as it does. Budget is part-stepped in two of these months, taking only what return will carry. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. Past buyers are the clearest signal of who buys next.

   How it works

   Each month's budget is set by the return the last one earned. Lookalike and broad audiences run the same ads, so they can be compared. 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.

1. Month 1

   First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. The audit, brief and media plan are agreed with the brand's team. Store fixes go live: reviews, trust pointers and the prepaid offer.

   • Projected revenue ₹5.7L
   • Projected ROAS 4.23x
   • Planned ad spend ₹1.4L
2. Month 2

   The scaling phase opens: budget is reviewed against return before the next step. Budget rises to the point where return would start to give way: budget more than doubles and return on spend falls.

   • Projected revenue ₹12.7L
   • Projected ROAS 2.91x
   • Planned ad spend ₹4.3L
3. Month 3

   Lookalikes of past buyers are added beside broad prospecting. Budget rises to the point where return would start to give way: budget holds and return on spend holds. ₹1Cr is not reached in the time, because budget stops rising where return would slip. Each order costs more by the end than it did while learning.

   • Projected revenue ₹12.6L
   • Projected ROAS 2.87x
   • Planned ad spend ₹4.4L

1. 01

   Test Static image alongside the main format: it reached the top creative tier most often in this industry's measured accounts.

2. 02

   Ran dated creative versions (V1 to V3) in separate campaigns

3. 03

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