Food & beverage case study: ₹10,000–₹12,000 to ₹15,277 monthly revenue in 2 months

New ads per month

1. 1

   Research & offer · Week 1 to 2

   What we do

   We give the first week to creative and content, the brand’s main problem, on a smaller base. We set basket-size offers that reward a second and third item in the cart. Before budget rises, we close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

   Why

   In this case study, a smaller food and beverage brand grows monthly revenue in 2 months, from ₹10,000–₹12,000 to ₹2L (18.2x). That is faster than nine in ten of our measured accounts grew over the same time, so the case study below is on what that fastest tenth reached and shows where it lands against the number this scenario calls for. The main problem was creative and content, followed by turning visits into orders. A larger basket spreads the cost of each order over more revenue. Conversion rate caps what any ad budget can return.

   How it works

   Offers are tuned to the order values that already sell. The fix list goes to the brand's team in the opening weeks, ahead of any budget step.

2. 2

   Measurement & reviews · Week 1 to 9

   What we do

   We agree a written number for every week on the way from ₹10,000–₹12,000 to ₹2L, and start each review with the week-to-date figure against it. We track ad-platform revenue beside store orders in a shared daily sheet. We raise budget in a week only while return holds; where it starts to slip too far, we hold it.

   Why

   No starting return on ad spend was given; the starting return is what measured food and beverage stores of that size hold. A shortfall is caught in the week it happens, not at the end. Ad platforms claim more orders than stores record, so the store number decides budget.

   How it works

   Each budget step is argued against the written number. Budget decisions are read off store numbers, not the ad platform alone. Where return starts to slip too far, the week keeps last week's budget.

3. 3

   Creative testing · Week 1 to 4

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to a handful of new ads a month by the last four weeks, with every format close to the account's return. We make trust the subject of the video: creator reels, customer feedback and founder-led clips. We buy creative in batches and give each batch a fixed read window before buying more. We put most of the budget behind one broad video campaign of the core products, including a customer testimonial.

   Why

   In most accounts we measured, video that carried trust held its return. A fixed window stops spend chasing a creative before it has been read. An everyday product sells best when the algorithm is free to find its buyers.

   How it works

   UGC that underperforms is replaced by founder-led video, not given more budget. Batches that do not convert are cut; winners get the budget. 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 · Week 5 to 9

   What we do

   We scale through Week 5 to Week 9 toward ₹2L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Feed the next. We cut regional-language versions of the winning video for the best-selling states. We tie every budget increase to return: we step up while it holds, and step back when it drops.

   Why

   In Week 5 to Week 9 the budget rises gently, while return on spend holds. Four of these weeks stop their budget step where return starts to slip too far. One of these weeks hold the budget where it is until return improves. Return holds through these weeks because each budget step stops where return starts to slip. The same winning idea reaches more buyers in their own language.

   How it works

   Regional cuts run beside the original winner. Budget follows return week to week instead of a fixed ramp. Instagram Reels carries the largest share of spend in the last four weeks, with Facebook Feed next. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Week 1

   Learning starts: tracking is checked against store orders and the first ads go live on a small daily budget. The daily sheet now matches platform revenue to store orders. The store fix list is live, with reviews on product pages and a prepaid offer.

   • Revenue ₹2,541
   • ROAS 1.92x
   • Ad spend ₹1,321
2. Week 2

   The first read of the ads is in, and the ones that do not convert stop. Return holds as the budget holds.

   • Revenue ₹2,582
   • ROAS 1.94x
   • Ad spend ₹1,332
3. Week 3

   Store fixes and offers go live while orders confirm.

   • Revenue ₹2,553
   • ROAS 1.95x
   • Ad spend ₹1,312
4. Week 4

   By the end of learning, the buyer is known and one ad has won.

   • Revenue ₹2,508
   • ROAS 1.92x
   • Ad spend ₹1,305
5. Week 5

   Scaling begins: regional-language versions of the winner go live. Budget is raised only as far as return allows: return holds as the budget steps up.

   • Revenue ₹3,551
   • ROAS 1.98x
   • Ad spend ₹1,795
6. Week 6

   Customer-feedback and creator videos are refreshed. Budget is raised only as far as return allows: return dips as the budget holds.

   • Revenue ₹3,672
   • ROAS 1.89x
   • Ad spend ₹1,946
7. Week 7

   The creative batch is read and the winners keep the budget. Return is still below the level where more budget pays, so return rises as the budget holds.

   • Revenue ₹3,821
   • ROAS 1.99x
   • Ad spend ₹1,917
8. Week 8

   Each budget move is read against the return it bought. Budget is raised only as far as return allows: return dips as the budget holds.

   • Revenue ₹3,749
   • ROAS 1.88x
   • Ad spend ₹1,995
9. Week 9

   Regional-language versions of the winner go live. Budget is raised only as far as return allows: return holds as the budget holds. Revenue ends below ₹2L, the number this scenario calls for, because budget stops rising where return starts to slip. Cost per purchase ends lower than in the learning phase.

   • Revenue ₹4,035
   • ROAS 1.89x
   • Ad spend ₹2,135

1. 1

   Cut regional-language versions of the winning creative for the best-selling states.

2. 2

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

3. 3

   Buy creative in batches, give each batch a fixed read window, and refresh tired ads by mixing old and new.