Food & beverage case study: Under ₹5L to ₹9.6L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   The first problem in this scenario is marketing and social presence, so the opening month on this mid-sized store goes there. We put the website audit, the creative brief and the monthly media schedule in place before spend moves. We fix the store before scaling: trust pointers, reviews, a clear return window, an about page and a prepaid incentive.

   Why

   A mid-sized food and beverage brand grows monthly revenue in 6 months, from Under ₹5L to ₹30L (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, holds budget where return starts to slip, and does not force the number. The main problem was marketing and social presence. Without a brief, each creative and budget decision starts from scratch. Every rupee of ads is capped by how well the store turns visits into orders.

   How it works

   The brief is agreed first; spend follows it. Site fixes are handed over in the first weeks, before budget rises.

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 agree a written number for every month on the way from Under ₹5L to ₹30L, and start each review with the month-to-date figure against it. We raise budget in a month only while return holds; where it slips too far, we hold it.

   Why

   No starting return on ad spend was given; the starting return is what measured stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written monthly numbers 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 number. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, catalogue ads and UGC and creator video first, rising to a few dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. We run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. We give each lead product its own campaign and read it weekly. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages.

   Why

   An everyday product sells best when the algorithm is free to find its buyers. A product nobody buys is visible within a week when it has its own campaign. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.

   How it works

   A video that takes off gets the budget; tests that do not convert are cut. A product that does not sell is paused inside the week. Regional cuts of a winner come before new ideas. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we do

   We scale through Month 2 to Month 4 as far toward ₹30L as return allows as the budget climbs in steps and return falls, with Instagram Reels taking the largest share of spend and Facebook Reels the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We cut regional-language versions of the winning video for the best-selling states.

   Why

   Across Month 2 to Month 4, the budget climbs in steps, and return on spend falls as it does. In one of these months 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. The same winning idea reaches more buyers in their own language.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. Regional cuts run beside the original winner. Most of the final month's spend sits on Instagram Reels, then Facebook Reels. 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 ₹30L where return permits. We recover abandoned checkouts and lift repeat orders with WhatsApp messages. We refresh tired ads by mixing old and new creatives, and keep a creative bank.

   Why

   From Month 5 growth slows while revenue is still under ₹30L. Spend still grows, at a slower pace than during scaling. 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

   Messages run beside retargeting ads. New creatives mix with proven ones rather than replacing them all at once.

1. Month 1

   The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. The daily sheet now matches platform revenue to store orders. The media schedule and creative brief are signed off.

   • Revenue ₹4.9L
   • ROAS 2.43x
   • Ad spend ₹2L
2. Month 2

   The scaling phase opens: the creative bank supplies this period's refresh. Return falls as the budget steps up.

   • Revenue ₹5.9L
   • ROAS 2.12x
   • Ad spend ₹2.8L
3. Month 3

   Each budget move is read against the return it bought.

   • Revenue ₹7.7L
   • ROAS 2.07x
   • Ad spend ₹3.7L
4. Month 4

   The winning UGC runs in regional-language versions. The step is sized by what return can bear: return dips as the budget steps up.

   • Revenue ₹9.5L
   • ROAS 1.98x
   • Ad spend ₹4.8L
5. Month 5

   From here the work shifts to keeping ads fresh and bringing buyers back. The step is sized by what return can bear: return holds as the budget holds.

   • Revenue ₹9.3L
   • ROAS 1.91x
   • Ad spend ₹4.9L
6. Month 6

   The winner now also runs in regional languages. The step is sized by what return can bear: return holds as the budget holds. The case study finishes short of ₹30L: budget stops rising where return starts to slip. Each order costs more by the end than it did while learning.

   • Revenue ₹9.6L
   • ROAS 1.87x
   • Ad spend ₹5.2L

1. 1

   Tested UGC for one product and a UGC lookalike audience, then cut both

2. 2

   Moved a third of spend into one broad video campaign at 3.6x

3. 3

   Monthly review calls that start with what has not worked