Food & beverage case study: plan for ₹5L–₹6L to ₹9.9L monthly revenue in 1–2 years

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   The booking named a clear strategy first, so the opening month on this mid-sized store goes there. Open with three documents: a website audit, a creative brief and a media plan by month. Build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting. Set basket-size offers that reward a second and third item in the cart.

   Why

   The enquiry came from a mid-sized food and beverage brand that wants to grow monthly revenue in 1–2 years, from ₹5L–₹6L to ₹20L–₹30L (4.5x). The timeframe runs past the point our measured engagements cover, so the later months extend the pace they showed up to month eight. The problem named at booking was a clear strategy. A written brief gives every later budget decision a reference point. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   The audit, the brief and the media plan are shared before spend rises. Warm layers run beside prospecting, not instead of it. The tiers follow real order values, not round numbers.

2. 2

   Measurement & targets · Month 1 to 24

   What we'd do

   Log store orders every day beside what the ad platform claims. Write month-by-month targets with the brand's team that climb from ₹5L–₹6L to ₹20L–₹30L, 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

   No return on ad spend was given at booking; the starting return is what measured stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. A missed month shows up early instead of at the end of the plan.

   How it works

   Budget decisions are read off store numbers, not the ad platform alone. Written targets make each scaling decision explicit. 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 static image 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. The learning month runs on a small daily budget, stepping up only once orders confirm. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. Buy creative in batches and give each batch a fixed read window before buying more.

   Why

   The first rupees are for finding the buyer, not for volume. Broad delivery lets the algorithm find buyers for an everyday product. The read window keeps creative spending tied to evidence.

   How it works

   Spend steps up only after orders confirm at the low budget. A video that takes off gets the budget; tests that do not convert are cut. Only ads that convert inside the window keep running. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 18

   What we'd do

   Through Month 2 to Month 18, push toward ₹20L–₹30L: the budget climbs in steps and return falls, and Instagram Reels carries the most spend and Facebook Reels the next. Front-load about a third of each month's budget into the first week. Tie every budget increase to return: step up while it holds, step back when it drops. Put seasonal collection campaigns in front of each festive and wedding peak.

   Why

   In Month 2 to Month 18 the modelled budget climbs in steps, and return on spend falls as it does. Several of these months stop their budget step where return would slip too far. Spend stays flat for three of these months, waiting on return rather than on the calendar. 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

   The monthly budget curve is weighted to the opening days. Budget follows return month to month instead of a fixed ramp. Budget moves between regions as the calendar turns. Instagram Reels carries the largest share of spend in the final month, with Facebook Reels next. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 19 to 24

   What we'd do

   From Month 19, hold the gains and push toward ₹20L–₹30L only as far as return allows. Keep a bank of ready creatives and rotate them in as ads tire. Recover abandoned checkouts and lift repeat orders with WhatsApp messages. Build lookalikes from repeat buyers and retarget past buyers with new arrivals.

   Why

   From Month 19 growth slows while revenue is still under ₹20L–₹30L. Budget stays about level over these 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

   Refreshes are gradual: a few new ads at a time. WhatsApp runs alongside paid retargeting, not instead of it. Past buyers see new arrivals before anyone else.

1. Month 1

   The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. The audit, brief and media plan are agreed with the brand's team. The layered account is in place, with retargeting beside prospecting.

   • Projected revenue ₹5.8L
   • Projected ROAS 2.86x
   • Planned ad spend ₹2L
2. Month 2

   Scaling begins: past buyers get the new arrivals ahead of prospecting. Spend holds, and return holds.

   • Projected revenue ₹5.9L
   • Projected ROAS 2.85x
   • Planned ad spend ₹2.1L
3. Month 3

   Past buyers get a WhatsApp nudge for their next order.

   • Projected revenue ₹6L
   • Projected ROAS 2.67x
   • Planned ad spend ₹2.3L
4. Month 4

   The creative bank supplies this period's refresh.

   • Projected revenue ₹6.2L
   • Projected ROAS 2.81x
   • Planned ad spend ₹2.2L
5. Month 5

   The budget decision is taken on the return the last step earned.

   • Projected revenue ₹6.3L
   • Projected ROAS 2.82x
   • Planned ad spend ₹2.2L
6. Month 6

   The creative batch is read and the winners keep the budget.

   • Projected revenue ₹6.4L
   • Projected ROAS 2.88x
   • Planned ad spend ₹2.2L
7. Month 7

   A seasonal collection campaign takes a larger share of budget. Spend steps up, and return falls.

   • Projected revenue ₹7.3L
   • Projected ROAS 2.52x
   • Planned ad spend ₹2.9L
8. Month 8

   Past buyers get the new arrivals ahead of prospecting. Spend holds, and return holds.

   • Projected revenue ₹7.7L
   • Projected ROAS 2.52x
   • Planned ad spend ₹3.1L
9. Month 9

   Repeat-order messages go to past buyers.

   • Projected revenue ₹8.2L
   • Projected ROAS 2.51x
   • Planned ad spend ₹3.3L
10. Month 10

    Tired ads are refreshed from the creative bank. Spend steps up, and return holds.

    • Projected revenue ₹8.9L
    • Projected ROAS 2.42x
    • Planned ad spend ₹3.7L
11. Month 11

    The budget decision is taken on the return the last step earned. The budget step stops where return would slip: spend steps up, and return dips.

    • Projected revenue ₹9.3L
    • Projected ROAS 2.24x
    • Planned ad spend ₹4.1L
12. Month 12

    This batch's read is done: winners stay, the rest are cut. The budget step stops where return would slip: spend holds, and return holds.

    • Projected revenue ₹9.8L
    • Projected ROAS 2.26x
    • Planned ad spend ₹4.4L
13. Month 13

    The seasonal collection campaign leads this period's spend mix.

    • Projected revenue ₹9.9L
    • Projected ROAS 2.19x
    • Planned ad spend ₹4.5L
14. Month 14

    New arrivals go to past buyers first. With return short of where a budget step pays, spend holds, and return holds.

    • Projected revenue ₹10.2L
    • Projected ROAS 2.26x
    • Planned ad spend ₹4.5L
15. Month 15

    Past buyers get a WhatsApp nudge for their next order. The budget step stops where return would slip: spend holds, and return dips.

    • Projected revenue ₹9.9L
    • Projected ROAS 2.16x
    • Planned ad spend ₹4.6L
16. Month 16

    The creative bank supplies this period's refresh. With return short of where a budget step pays, spend holds, and return holds.

    • Projected revenue ₹10L
    • Projected ROAS 2.24x
    • Planned ad spend ₹4.5L
17. Month 17

    Budget is reviewed against return before the next step. The budget step stops where return would slip: spend holds, and return dips.

    • Projected revenue ₹9.8L
    • Projected ROAS 2.15x
    • Planned ad spend ₹4.6L
18. Month 18

    This batch's read is done: winners stay, the rest are cut. With return short of where a budget step pays, spend holds, and return holds.

    • Projected revenue ₹10L
    • Projected ROAS 2.23x
    • Planned ad spend ₹4.5L
19. Month 19

    Steady phase begins: creative refresh and repeat orders take on more of the work.

    • Projected revenue ₹10.1L
    • Projected ROAS 2.25x
    • Planned ad spend ₹4.5L
20. Month 20

    The seasonal collection campaign leads this period's spend mix. The budget step stops where return would slip: spend holds, and return holds.

    • Projected revenue ₹9.9L
    • Projected ROAS 2.21x
    • Planned ad spend ₹4.5L
21. Month 21

    Past buyers get the new arrivals ahead of prospecting. With return short of where a budget step pays, spend holds, and return holds.

    • Projected revenue ₹10.1L
    • Projected ROAS 2.27x
    • Planned ad spend ₹4.5L
22. Month 22

    Repeat-order messages go to past buyers.

    • Projected revenue ₹10.1L
    • Projected ROAS 2.29x
    • Planned ad spend ₹4.4L
23. Month 23

    Tired ads are refreshed from the creative bank. The budget step stops where return would slip: spend holds, and return holds.

    • Projected revenue ₹9.9L
    • Projected ROAS 2.21x
    • Planned ad spend ₹4.5L
24. Month 24

    Budget is reviewed against return before the next step. The budget step stops where return would slip: spend holds, and return holds. The plan finishes short of ₹20L–₹30L: budget stops rising where return would slip. Each order costs more by the end than it did while learning.

    • Projected revenue ₹9.9L
    • Projected ROAS 2.21x
    • Planned ad spend ₹4.5L

1. 01

   Track ad-platform revenue beside store revenue (and net sales) daily or weekly, and set targets on the lower number.

2. 02

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

3. 03

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