Food & beverage case study: plan for ₹10,000 to ₹21,528 monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Before budget rises, get the smaller food and beverage store ready to convert paid traffic. Start with a website audit, a creative brief and a monthly media plan in the first week. Set basket-size offers that reward a second and third item in the cart.

   Why

   A smaller food and beverage brand came to us to grow monthly revenue in 6 months, from ₹10,000 to ₹2L (20x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The booking gave no single problem, so the plan starts from the numbers. A written brief gives every later budget decision a reference point. Higher order value lowers the share of each order that goes to ads.

   How it works

   The brief is agreed first; spend follows it. The tiers follow real order values, not round numbers.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Keep a shared daily sheet with the ad platform's revenue next to real store orders. Agree a written target for every month on the way from ₹10,000 to ₹2L, and start each review with the month-to-date figure against it. Set a written rule: no budget step in a month where return would fall too far to pay for it.

   Why

   It did not report a return on ad spend, so the plan starts from what measured food and beverage stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. A missed month shows up early instead of at the end of the plan.

   How it works

   Every budget call starts from the store's orders. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with every format close to the account's return. Run every lead product in a campaign of its own, read every week. The learning month runs at a low daily budget and moves up only when orders come through. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. Broad delivery lets the algorithm find buyers for an everyday product.

   How it works

   Losing products are paused within a week and budget moves to the winners. The low budget stays until orders confirm the buyer. A video that takes off gets the budget; tests that do not convert are cut. 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 4

   What we'd do

   Through Month 2 to Month 4, push toward ₹2L: the budget climbs in steps and return dips, 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. Let return decide budget: more while it holds, less when it slips.

   Why

   Across Month 2 to Month 4, the modelled budget climbs in steps, and return on spend dips. In two of these months budget goes up only as far as return allows, so revenue grows more slowly than the target needs. Our measured accounts saw cost per order rise and return fall as spend scaled; that is why each step here waits on return. Early-month demand is stronger for repeat consumables.

   How it works

   The monthly budget curve is weighted to the opening days. Each month's budget is set by the return the last one earned. 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 5 to 6

   What we'd do

   From Month 5, hold the gains and push toward ₹2L only as far as return allows. Keep a bank of ready creatives and rotate them in as ads tire. Use WhatsApp for abandoned checkouts and for past buyers' next order.

   Why

   Growth slows from Month 5, still short of ₹2L. Spend still grows, at a slower pace than during scaling. 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

   The learning phase opens: a small daily budget carries the first ads, and store orders are matched to tracking. The website audit, creative brief and media plan are shared. The cart-value tiers are live.

   • Projected revenue ₹9,712
   • Projected ROAS 2.03x
   • Planned ad spend ₹4,786
2. Month 2

   Scaling starts: tired ads are refreshed from the creative bank. Spend steps up sharply, and return holds.

   • Projected revenue ₹14,905
   • Projected ROAS 1.96x
   • Planned ad spend ₹7,590
3. Month 3

   Budget is reviewed against return before the next step. Budget is raised only as far as return allows: spend steps up, and return dips.

   • Projected revenue ₹18,372
   • Projected ROAS 1.88x
   • Planned ad spend ₹9,767
4. Month 4

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

   • Projected revenue ₹19,807
   • Projected ROAS 1.88x
   • Planned ad spend ₹10,563
5. Month 5

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

   • Projected revenue ₹21,419
   • Projected ROAS 1.90x
   • Planned ad spend ₹11,297
6. Month 6

   Budget shifts to the products that sold this period. Budget is raised only as far as return allows: spend holds, and return holds. The plan finishes short of ₹2L: budget stops rising where return would slip. Each order costs about what it did while learning.

   • Projected revenue ₹21,528
   • Projected ROAS 1.89x
   • Planned ad spend ₹11,366

1. 01

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

2. 02

   Moved a third of spend into one broad video campaign at 3.6x

3. 03

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