Food & beverage case study: plan for ₹50,000–₹1L to ₹94,527 monthly revenue in 4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Aim the first month at marketing and social presence, the problem named at booking, on a smaller base. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Get the store ready for paid traffic first: reviews and trust pointers on product pages, a visible return window, an about page and a reason to pay upfront.

   Why

   A smaller food and beverage store asked us how to grow monthly revenue in 4 months, from ₹50,000–₹1L to ₹5L (6.7x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the plan aims at the fastest tenth's pace, holds budget where return would slip, and shows the gap to the target honestly. The problem named at booking was marketing and social presence. A written brief gives every later budget decision a reference point. Every rupee of ads is capped by how well the store turns visits into orders.

   How it works

   The audit, the brief and the media plan are shared before spend rises. Fixes are listed and handed over early, so later budget lands on a store that converts.

2. 2

   Measurement & targets · Month 1 to 4

   What we'd do

   Track ad-platform revenue beside store orders in a shared daily sheet. Write month-by-month targets with the brand's team that climb from ₹50,000–₹1L to ₹5L, 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

   At the return on ad spend it reported, extra budget would cost more than it brings, so return has to climb first. Ad platforms claim more orders than stores record, so the store number decides budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   Every budget call starts from the store's orders. Each budget step is argued against the written target. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and UGC and creator video first, rising to about two dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. Brief creators for a steady run of UGC video, with regional-language cuts of the winners. Run every lead product in a campaign of its own, read every week.

   Why

   An everyday product sells best when the algorithm is free to find its buyers. A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. Products that do not sell show up inside a week, not after a month of shared budget.

   How it works

   The video that takes off is scaled; the tests around it are cut. Winning UGC is cut into regional languages before new ideas are bought. A product that does not sell is paused inside the week. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Through Month 2 to Month 3, push as far toward ₹5L as return allows: the budget stays close to the learning level while return rises, and Instagram Reels carries the most spend and Facebook Reels the next. Let return decide budget: more while it holds, less when it slips. Cut regional-language versions of the winning video for the best-selling states.

   Why

   Across Month 2 to Month 3, the modelled budget stays close to the learning level, while return on spend rises. Budget is part-stepped in two of these months, taking only what return will carry. Return rises through these months as it climbs from where the account started toward what measured stores of its size hold. Buyers respond to the same idea in their own language.

   How it works

   There is no fixed ramp; each month's budget follows the return of the last. The regional versions run next to the original. In the final month, Instagram Reels takes the most spend and Facebook Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

5. 5

   Steady state · Month 4

   What we'd do

   From Month 4, hold the gains and push toward ₹5L only as far as return allows. Hold a creative bank and swap tired ads out before click-through falls. Recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   Growth slows from Month 4, still short of ₹5L. Budget keeps rising, more slowly than in the scaling months. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

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

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 plan are agreed with the brand's team. Store orders and platform revenue are reconciled in the shared sheet.

   • Projected revenue ₹79,995
   • Projected ROAS 1.86x
   • Planned ad spend ₹43,041
2. Month 2

   Scaling starts: budget is reviewed against return before the next step. Only the part of the step that return supports is taken: return on spend holds while budget holds.

   • Projected revenue ₹86,341
   • Projected ROAS 1.90x
   • Planned ad spend ₹45,488
3. Month 3

   The winning UGC runs in regional-language versions.

   • Projected revenue ₹93,880
   • Projected ROAS 1.99x
   • Planned ad spend ₹47,274
4. Month 4

   The plan moves into its steady phase, leaning on refreshed ads and repeat buyers. Only the part of the step that return supports is taken: return on spend dips while budget holds. Revenue ends below ₹5L, the target set at enquiry, because budget stops rising where return would slip. Cost per purchase ends close to the learning phase.

   • Projected revenue ₹94,527
   • Projected ROAS 1.91x
   • Planned ad spend ₹49,463

1. 01

   Monthly review calls that start with what has not worked

2. 02

   Refreshed tired ads by mixing old and new creatives; one product ad returned to 24.8x

3. 03

   Kept remarketing on add-to-cart and checkout audiences (11.2x)