Food & beverage case study: ₹20,000 to ₹28,945 monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We open with set-up work on the smaller food and beverage store, since the brand in this scenario named no single problem. We open with three documents: a website audit, a creative brief and a media schedule by month. 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 ₹20,000 to ₹3L (15x). 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 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. Each extra item in a basket is revenue the ad has already paid for.

   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 set the path from ₹20,000 to ₹3L as written monthly numbers, and read every review against the month so far. We track ad-platform revenue beside store orders in a shared daily sheet. We raise budget in a month only while return holds; where it slips too far, we hold 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. A missed month shows up early instead of at the end of the case study. Ad platforms claim more orders than stores record, so the store number decides budget.

   How it works

   The month's number is on the page at every review. Budget decisions are read off store numbers, not the ad platform alone. A month whose return slips past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we do

   We test with video, catalogue ads and UGC and creator video first, rising to about a dozen new ads a month by the final month, with no format far behind the account's return. We separate the lead products into their own campaigns and review each one weekly. We put most of the budget behind one broad video campaign of the core products, including a customer testimonial. We run static images next to the video ads.

   Why

   Shared campaigns hide weak products; separate ones expose them fast. Broad delivery lets the algorithm find buyers for an everyday product. In every industry we measured, static images were the format most often in the top creative tier.

   How it works

   Budget follows the products that sell. A video that takes off gets the budget; tests that do not convert are cut. Statics are added after a video wins. 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 ₹3L: the budget rises gently while return holds, and Instagram Reels carries the most spend and Facebook Reels the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We scale into the festive and wedding calendar with seasonal collection campaigns.

   Why

   In Month 2 to Month 4 the budget rises gently, while return on spend holds. In three of these months the step is trimmed to the size return can hold. Return holds through these months because each budget step stops where return starts to slip. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   Budget follows return month to month instead of a fixed ramp. Budget moves between regions as the calendar turns. Most of the final month's spend sits on Instagram Reels, then Facebook Reels. 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 ₹3L only as far as return allows. We recover abandoned checkouts and lift repeat orders with WhatsApp messages. We hold a creative bank and swap tired ads out before click-through falls.

   Why

   Growth slows from Month 5, still short of ₹3L. Spend still grows, at a slower pace than during scaling. A message to someone who nearly bought costs less than an ad. In one account we measured, click-through fell before revenue did; refresh is how that is avoided.

   How it works

   Messages run beside retargeting ads. New creatives mix with proven ones rather than replacing them all at once.

1. Month 1

   Learning month: a small daily budget carries the first ads, and store orders are matched to tracking. Store orders and ad-platform revenue are checked side by side. The media schedule and creative brief are signed off.

   • Revenue ₹19,750
   • ROAS 1.87x
   • Ad spend ₹10,583
2. Month 2

   Scaling starts: tired ads are refreshed from the creative bank. The step is sized by what return can bear: as budget holds, return on spend rises.

   • Revenue ₹23,089
   • ROAS 1.98x
   • Ad spend ₹11,635
3. Month 3

   The budget decision is taken on the return the last step earned. The step is sized by what return can bear: as budget steps up, return on spend holds.

   • Revenue ₹25,779
   • ROAS 1.94x
   • Ad spend ₹13,293
4. Month 4

   A seasonal collection campaign takes a larger share of budget. The step is sized by what return can bear: as budget holds, return on spend holds.

   • Revenue ₹27,240
   • ROAS 1.91x
   • Ad spend ₹14,226
5. Month 5

   The case study moves into its steady phase, leaning on refreshed ads and repeat buyers.

   • Revenue ₹28,521
   • ROAS 1.89x
   • Ad spend ₹15,117
6. Month 6

   Statics go live next to the winning video. The step is sized by what return can bear: as budget holds, return on spend holds. ₹3L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹28,945
   • ROAS 1.93x
   • Ad spend ₹14,966

1. 1

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

2. 2

   Refreshed tired ads by mixing old and new creatives; one product ad returned to 24.8x

3. 3

   Run creator, customer-feedback and founder-led video; replace low-quality UGC with founder-led video when sales soften.