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

New ads per month

1. 1

   Research & offer · Month 1

   What we do

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

   Why

   In this case study, a smaller food and beverage brand grows 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 case study follows the pace of that top tenth rather than forcing the number. The brand in this scenario named no single problem, so the case study 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 & reviews · Month 1 to 6

   What we do

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

   Why

   It did not report a return on ad spend, so the case study 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 case study.

   How it works

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

3. 3

   Creative testing · Month 1

   What we do

   We 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. We 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. We 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 do

   Through Month 2 to Month 4, we push toward ₹2L: the budget climbs in steps and return dips, and Instagram Reels carries the most spend and Facebook Reels the next. We front-load about a third of each month's budget into the first week. We let return decide budget: more while it holds, less when it slips.

   Why

   Across Month 2 to Month 4, the 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 brand's number 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 do

   From Month 5, we hold the gains and push toward ₹2L only as far as return allows. We keep a bank of ready creatives and rotate them in as ads tire. We 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 schedule are shared. The cart-value tiers are live.

   • Revenue ₹9,712
   • ROAS 2.03x
   • Ad spend ₹4,786
2. Month 2

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

   • Revenue ₹14,905
   • ROAS 1.96x
   • 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.

   • Revenue ₹18,372
   • ROAS 1.88x
   • 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.

   • Revenue ₹19,807
   • ROAS 1.88x
   • Ad spend ₹10,563
5. Month 5

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

   • Revenue ₹21,419
   • ROAS 1.90x
   • 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 case study finishes short of ₹2L: budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹21,528
   • ROAS 1.89x
   • Ad spend ₹11,366

1. 1

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

2. 2

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

3. 3

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