Food & beverage case study: plan for ₹40,000 to ₹65,248 monthly revenue in 3 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   The booking named reaching new buyers first, so the opening month on this smaller store goes there. Set basket-size offers that reward a second and third item in the cart. Map the festive and wedding calendar before spending, with seasonal collections ready in advance.

   Why

   A smaller food and beverage store asked us how to grow monthly revenue in 3 months, from ₹40,000 to ₹2L (5x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan aims at that fastest tenth's pace, holds budget where return would slip, and shows where it lands against the target. At booking, the brand named reaching new buyers as its main problem, with marketing and social presence close behind. A larger basket spreads the cost of each order over more revenue. Demand in this category rises and falls with the festive calendar.

   How it works

   Tier levels are set just above the basket sizes buyers already reach. Each peak has its campaign ready before it starts.

2. 2

   Measurement & targets · Month 1 to 3

   What we'd do

   Log store orders every day beside what the ad platform claims. Agree a written target for every month on the way from ₹40,000 to ₹2L, and start each review with the month-to-date figure against it. Raise budget in a month only while return holds; where it would slip too far, hold 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. The ad platform's own count runs high, so the store's count is the one that moves budget. A shortfall is caught in the month it happens, not at the end.

   How it works

   Every budget call starts from the store's orders. Written targets make each scaling decision explicit. Where return would slip too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we'd do

   Lead the testing layer with video, catalogue ads and UGC and creator video, building to about a dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. Put most of the budget behind one broad video campaign of the core products, including a customer testimonial. The learning month runs with a deliberately small daily budget until orders prove the buyer. Keep creators producing UGC video on a steady schedule, and cut the winners into regional languages.

   Why

   An everyday product sells best when the algorithm is free to find its buyers. The first rupees are for finding the buyer, not for volume. Regular UGC keeps testing going, and a regional cut stretches a winning idea further.

   How it works

   A video that takes off gets the budget; tests that do not convert are cut. Only confirmed orders at the low budget unlock the next step. Winning UGC is cut into regional languages before new ideas are bought. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 3

   What we'd do

   Scale through Month 2 to Month 3 as far toward ₹2L as return allows as the budget rises gently and return dips, with Instagram Reels taking the largest share of spend and Facebook Reels the next. Cut regional-language versions of the winning video for the best-selling states. Put seasonal collection campaigns in front of each festive and wedding peak.

   Why

   Across Month 2 to Month 3, the modelled budget rises gently, and return on spend dips. In one of these months the step is trimmed to the size return can hold. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. Buyers respond to the same idea in their own language.

   How it works

   The regional versions run next to the original. Budget moves between regions as the calendar turns. Most of the final month's spend sits on Instagram Reels, then Facebook Reels. Cold audiences take most of the budget; warm audiences return more per rupee.

1. Month 1

   Learning month: tracking is checked against store orders and the first ads go live on a small daily budget. Seasonal collections are prepared for the next peak. The daily sheet now matches platform revenue to store orders.

   • Projected revenue ₹39,062
   • Projected ROAS 1.95x
   • Planned ad spend ₹20,011
2. Month 2

   Scaling starts: the seasonal collection campaign leads this period's spend mix. Budget steps up sharply and return on spend dips.

   • Projected revenue ₹57,117
   • Projected ROAS 1.87x
   • Planned ad spend ₹30,572
3. Month 3

   The winner now also runs in regional languages. Budget rises to the point where return would start to give way: budget steps up and return on spend 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 ₹65,248
   • Projected ROAS 1.87x
   • Planned ad spend ₹34,892

1. 01

   Cost per order stayed well above what a low-price consumable can carry.

2. 02

   Plan around the festive and wedding calendar: seasonal catalogue or collection campaigns, regional targeting for regional festivals, and pausing regions during regional observances.

3. 03

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