Food & beverage case study: plan for ₹1L to ₹1.6L monthly revenue in 4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   The booking named results that swing from month to month first, so the opening month on this smaller store goes there. Split the account into layers: one campaign to test creative, one to scale winners, prospecting that leaves out past buyers, and retargeting for carts. Map the festive and wedding calendar before spending, with seasonal collections ready in advance.

   Why

   A smaller food and beverage store asked us how to grow monthly revenue in 4 months, from ₹1L to ₹6L+ (6x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan aims at the pace of that top tenth, holds budget where return would slip, and does not force the target. At booking, the brand named results that swing from month to month as its main problem, with scaling ad spend close behind. Separate layers stop prospecting and retargeting competing for the same budget. Demand in this category rises and falls with the festive calendar.

   How it works

   Each layer keeps its own budget line. Each peak has its campaign ready before it starts.

2. 2

   Measurement & targets · Month 1 to 4

   What we'd do

   Set the path from ₹1L to ₹6L+ as written monthly targets, and read every review against the month so far. Track ad-platform revenue beside store orders in a shared daily sheet. 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 food and beverage stores of that size hold. A missed month shows up early instead of at the end of the plan. Platform attribution over-counts, so budget decisions sit on the store-side number.

   How it works

   Written targets make each scaling decision explicit. Every budget call starts from the store's orders. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Lead the testing layer with video, catalogue ads and static image, building to about two dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Run every lead product in a campaign of its own, read every week. Commission ads in batches, and read each batch for a set window before ordering the next. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget.

   Why

   Products that do not sell show up inside a week, not after a month of shared budget. The read window keeps creative spending tied to evidence. An everyday product sells best when the algorithm is free to find its buyers.

   How it works

   Losing products are paused within a week and budget moves to the winners. Batches that do not convert are cut; winners get the budget. The video that takes off is scaled; the tests around it are cut. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Scale through Month 2 to Month 3 as far toward ₹6L+ as return allows as the budget rises gently while return holds, 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. Scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   Across Month 2 to Month 3, the modelled budget rises gently, while return on spend holds. Budget is part-stepped in one of these months, taking only what return will carry. Each budget step here is sized so that return stays close to where it was. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. Spend shifts into each season and between regions with the calendar. In the final month, Instagram Reels takes the most spend and Facebook Feed the next most. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 4

   What we'd do

   From Month 4, hold the gains and push toward ₹6L+ only as far as return allows. Hold budget where return peaks instead of pushing past it. Use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   Growth slows from Month 4, still short of ₹6L+. Spend still grows, at a slower pace than during scaling. Most of our engagements saw return fall back from its best month. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   Budget is held while return is at its best and cut back when it slips. WhatsApp runs alongside paid retargeting, not instead of it.

1. Month 1

   First, the set-up: 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 account runs in layers: testing, scaling and retargeting.

   • Projected revenue ₹1L
   • Projected ROAS 1.93x
   • Planned ad spend ₹52,950
2. Month 2

   Scaling begins: the budget decision is taken on the return the last step earned. Return on spend holds while budget steps up.

   • Projected revenue ₹1.4L
   • Projected ROAS 1.88x
   • Planned ad spend ₹72,151
3. Month 3

   A new batch goes live after the last one is read. Only the part of the step that return supports is taken: return on spend holds while budget steps up.

   • Projected revenue ₹1.5L
   • Projected ROAS 1.94x
   • Planned ad spend ₹79,640
4. Month 4

   Steady phase begins: creative refresh and repeat orders take on more of the work. Only the part of the step that return supports is taken: return on spend dips while budget holds. Revenue ends below ₹6L+, the target set at enquiry, because budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹1.6L
   • Projected ROAS 1.86x
   • Planned ad spend ₹86,964

1. 01

   Put most of the budget behind one broad video campaign of the core products, and scale a video that takes off.

2. 02

   Buy creative in batches, give each batch a fixed read window, and refresh tired ads by mixing old and new.

3. 03

   15 UGC videos, including regional-language cuts for the two best-selling states