Food & beverage case study: ₹40,000 to ₹59,319 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 smaller store goes there. We open with three documents: a website audit, a creative brief and a media schedule by month. We set basket-size offers that reward a second and third item in the cart.

   Why

   In this case study, a smaller food and beverage brand grows monthly revenue in 6 months, from ₹40,000 to ₹5L (12.5x). 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 main problem was marketing and social presence, followed by a clear strategy. Without a brief, each creative and budget decision starts from scratch. Each extra item in a basket is revenue the ad has already paid for.

   How it works

   The brief is agreed first; spend follows it. Offers are tuned to the order values that already sell.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We write month-by-month revenue numbers with the brand's team that climb from ₹40,000 to ₹5L, and open every review with the month-to-date number against them. We track ad-platform revenue beside store orders in a shared daily sheet. We set a written rule: no budget step in a month where return falls too far to pay for it.

   Why

   With no return on ad spend reported, the case study begins at the level measured food and beverage stores of that size hold. A shortfall is caught in the month it happens, not at the end. Ad platforms claim more orders than stores record, so the store number decides budget.

   How it works

   The month's number is on the page at every review. Budget decisions are read off store numbers, not the ad platform alone. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to about a 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 run every lead product in a campaign of its own, read every week. We brief creators for a steady run of UGC video, with regional-language cuts of the winners.

   Why

   Broad delivery lets the algorithm find buyers for an everyday product. Products that do not sell show up inside a week, not after a month of shared budget. 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. Losing products are paused within a week and budget moves to the winners. 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

   Through Month 2 to Month 4, we push toward ₹5L: the budget rises gently and return dips, and Instagram Reels carries the most spend and Instagram Feed the next. We raise budget only while return on spend holds, and cut it when return drops. We front-load about a third of each month's budget into the first week.

   Why

   In Month 2 to Month 4 the budget rises gently, and return on spend dips. In three of these months budget goes up only as far as return allows, so revenue grows more slowly than the agreed number needs. In measured accounts, scaling spend raised cost per order and lowered return on spend, so each step waits for return to hold. Early-month demand is stronger for repeat consumables.

   How it works

   Budget follows return month to month instead of a fixed ramp. The monthly budget curve is weighted to the opening days. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 5 to 6

   What we do

   From Month 5, we protect the revenue already built and move toward ₹5L where return permits. We use WhatsApp for abandoned checkouts and for past buyers' next order. 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 ₹5L. Spend holds roughly steady from here. A message to someone who nearly bought costs less than an ad. In one account we measured, click-through fell before revenue did; refresh is how that is avoided.

   How it works

   Messages run beside retargeting ads. The bank means a tired ad is replaced the week it tires.

1. Month 1

   The learning phase opens: a small daily budget carries the first ads, and store orders are matched to tracking. Store orders and ad-platform revenue are checked side by side. Cart-value offers go live at checkout.

   • Revenue ₹37,334
   • ROAS 1.98x
   • Ad spend ₹18,867
2. Month 2

   The scaling phase opens: tired ads are refreshed from the creative bank. Budget goes up only as far as return can carry it: spend steps up, and return holds.

   • Revenue ₹48,044
   • ROAS 1.92x
   • Ad spend ₹25,006
3. Month 3

   Regional-language cuts of the winning UGC go live.

   • Revenue ₹53,352
   • ROAS 1.90x
   • Ad spend ₹28,044
4. Month 4

   Budget is reviewed against return before the next step. Budget goes up only as far as return can carry it: spend holds, and return holds.

   • Revenue ₹55,916
   • ROAS 1.87x
   • Ad spend ₹29,944
5. Month 5

   From here the work shifts to keeping ads fresh and bringing buyers back.

   • Revenue ₹57,884
   • ROAS 1.94x
   • Ad spend ₹29,875
6. Month 6

   Past buyers get a WhatsApp nudge for their next order. Budget goes up only as far as return can carry it: spend holds, and return holds. ₹5L is not reached in the time, because budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹59,319
   • ROAS 1.92x
   • Ad spend ₹30,946

1. 1

   We front-load about a third of each month's budget into the first week.

2. 2

   Facebook Reels carries the largest share of spend in this industry's measured accounts.

3. 3

   Cut regional-language versions of the winning creative for the best-selling states.