Food & beverage case study: plan for ₹2L to ₹3.4L monthly revenue in 12 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 smaller store. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Add cart-value offers that step up at set basket sizes to lift order value. 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

   The enquiry came from a smaller food and beverage brand that wants to grow monthly revenue in 12 months, from ₹2L to ₹5L (2.5x). At least one in four of our measured accounts grew that fast over the same time. At booking, the brand named marketing and social presence as its main problem. 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

   All three are shared with the brand's team before any budget step. Tier levels are set just above the basket sizes buyers already reach. The fix list goes to the brand's team in the opening weeks, ahead of any budget step.

2. 2

   Measurement & targets · Month 1 to 12

   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 ₹2L to ₹5L, and open every review with the month-to-date number against them. Set a written rule: no budget step in a month where return would fall too far to pay for it.

   Why

   With no return on ad spend reported, the plan begins at the level measured food and beverage stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. A shortfall is caught in the month it happens, not at the end.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. The target for the month is on the page at every review. 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 a few dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Put most of the budget behind one broad video campaign of the core products, including a customer testimonial. Keep creators producing UGC video on a steady schedule, and cut the winners into regional languages. Give each lead product its own campaign and read it weekly.

   Why

   Broad delivery lets the algorithm find buyers for an everyday product. Regular UGC keeps testing going, and a regional cut stretches a winning idea further. Products that do not sell show up inside a week, not after a month of shared budget.

   How it works

   A video that takes off gets the budget; tests that do not convert are cut. Winning UGC is cut into regional languages before new ideas are bought. Losing products are paused within a week and budget moves to the winners. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 9

   What we'd do

   Scale through Month 2 to Month 9 toward ₹5L as the budget rises gently while return rises, with Instagram Reels taking the largest share of spend and Facebook Reels the next. Tie every budget increase to return: step up while it holds, step back when it drops. Cut regional-language versions of the winning video for the best-selling states. Front-load about a third of each month's budget into the first week.

   Why

   Across Month 2 to Month 9, the modelled budget rises gently, while return on spend rises. In three of these months budget goes up only as far as return allows, so revenue grows more slowly than the target needs. Return improves over these months, moving from the starting level toward the level of measured stores of that size. Buyers respond to the same idea in their own language.

   How it works

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

5. 5

   Steady state · Month 10 to 12

   What we'd do

   From Month 10, protect the revenue already built and move toward ₹5L where return permits. Keep a bank of ready creatives and rotate them in as ads tire. Recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   Growth slows from Month 10, still short of ₹5L. Budget stays about level over these months. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early. A message to someone who nearly bought costs less than an ad.

   How it works

   The bank means a tired ad is replaced the week it tires. 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. Cart-value offers go live at checkout. The audit, brief and media plan are agreed with the brand's team.

   • Projected revenue ₹2L
   • Projected ROAS 1.93x
   • Planned ad spend ₹1.1L
2. Month 2

   Scaling starts: past buyers get a WhatsApp nudge for their next order. Return holds as the budget holds.

   • Projected revenue ₹2.1L
   • Projected ROAS 1.91x
   • Planned ad spend ₹1.1L
3. Month 3

   Tired ads are refreshed from the creative bank.

   • Projected revenue ₹2.1L
   • Projected ROAS 1.95x
   • Planned ad spend ₹1.1L
4. Month 4

   Regional-language cuts of the winning UGC go live. Return holds as the budget steps up.

   • Projected revenue ₹2.3L
   • Projected ROAS 1.95x
   • Planned ad spend ₹1.2L
5. Month 5

   Products that do not sell are paused and budget moves to the winners.

   • Projected revenue ₹2.7L
   • Projected ROAS 2.00x
   • Planned ad spend ₹1.4L
6. Month 6

   The winner now also runs in regional languages. Return holds as the budget holds.

   • Projected revenue ₹2.8L
   • Projected ROAS 1.96x
   • Planned ad spend ₹1.4L
7. Month 7

   Budget is reviewed against return before the next step. Budget is raised only as far as return allows: return holds as the budget steps up.

   • Projected revenue ₹3.2L
   • Projected ROAS 1.89x
   • Planned ad spend ₹1.7L
8. Month 8

   Past buyers get a WhatsApp nudge for their next order. Budget is raised only as far as return allows: return holds as the budget holds.

   • Projected revenue ₹3.4L
   • Projected ROAS 1.86x
   • Planned ad spend ₹1.8L
9. Month 9

   Tired ads are refreshed from the creative bank.

   • Projected revenue ₹3.4L
   • Projected ROAS 2.01x
   • Planned ad spend ₹1.7L
10. Month 10

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

    • Projected revenue ₹3.4L
    • Projected ROAS 1.86x
    • Planned ad spend ₹1.8L
11. Month 11

    The winning UGC runs in regional-language versions.

    • Projected revenue ₹3.4L
    • Projected ROAS 1.88x
    • Planned ad spend ₹1.8L
12. Month 12

    The weekly product read pauses the products that are not selling. Budget is raised only as far as return allows: return holds as the budget holds. Revenue ends below ₹5L, the target set at enquiry, because budget stops rising where return would slip. Each order costs about what it did while learning.

    • Projected revenue ₹3.4L
    • Projected ROAS 1.92x
    • Planned ad spend ₹1.8L

1. 01

   Front-loaded 30–35% of each month's budget into the first eight days

2. 02

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

3. 03

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