Food & beverage case study: plan for ₹4L–₹5L to ₹11.4L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Start with a clear strategy, which the booking named first, before anything else on this smaller store. Open with three documents: a website audit, a creative brief and a media plan by month. Build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting.

   Why

   A smaller food and beverage brand came to us to grow monthly revenue in 6 months, from ₹4L–₹5L to ₹20L–₹25L (5x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan below is modelled on what that fastest tenth reached and shows where it lands against the target. At booking, the brand named a clear strategy as its main problem. Later budget calls need something written to be judged against. Layers keep each budget line readable, so a weak campaign cannot hide inside a strong one.

   How it works

   The audit, the brief and the media plan are shared before spend rises. Warm layers run beside prospecting, not instead of it.

2. 2

   Measurement & targets · Month 1 to 6

   What we'd do

   Agree a written target for every month on the way from ₹4L–₹5L to ₹20L–₹25L, and start each review with the month-to-date figure against it. Keep a shared daily sheet with the ad platform's revenue next to real store orders. Raise budget in a month only while return holds; where it would slip too far, hold it.

   Why

   With no return on ad spend reported, the plan begins at the level measured food and beverage stores of that size hold. A shortfall is caught in the month it happens, not at the end. Ad platforms claim more orders than stores record, so the store number decides budget.

   How it works

   Written targets make each scaling decision explicit. Budget decisions are read off store numbers, not the ad platform alone. A month whose return would slip past that point keeps its budget instead.

3. 3

   Creative testing · Month 1

   What we'd do

   Test with video, catalogue ads and UGC and creator video first, rising to a few 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. Lead with video that carries trust: creators, customer feedback and founder-led pieces. The learning month runs on a small daily budget, stepping up only once orders confirm.

   Why

   Broad delivery lets the algorithm find buyers for an everyday product. In most accounts we measured, video that carried trust held its return. Early spend buys learning, not scale.

   How it works

   The video that takes off is scaled; the tests around it are cut. Weak UGC is swapped for founder-led video rather than scaled. Spend steps up only after orders confirm at the low budget. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we'd do

   Through Month 2 to Month 4, push as far toward ₹20L–₹25L as return allows: the budget climbs in steps and return falls, and Instagram Reels carries the most spend and Instagram Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. Front-load about a third of each month's budget into the first week.

   Why

   Across Month 2 to Month 4, the modelled budget climbs in steps, and return on spend falls as it does. 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

   There is no fixed ramp; each month's budget follows the return of the last. The monthly budget curve is weighted to the opening days. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Cold audiences take most of the budget; warm audiences 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 ₹20L–₹25L 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 ₹20L–₹25L. Spend still grows, at a slower pace than during scaling. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early. A message to someone who nearly bought costs less than an ad.

   How it works

   Refreshes are gradual: a few new ads at a time. Messages run beside retargeting ads.

1. Month 1

   First, the set-up: tracking is checked against store orders and the first ads go live on a small daily budget. The media plan and creative brief are signed off. Store orders and ad-platform revenue are checked side by side.

   • Projected revenue ₹4.4L
   • Projected ROAS 3.10x
   • Planned ad spend ₹1.4L
2. Month 2

   Scaling starts: repeat-order messages go to past buyers. Return holds as the budget steps up.

   • Projected revenue ₹4.9L
   • Projected ROAS 3.07x
   • Planned ad spend ₹1.6L
3. Month 3

   Tired ads are refreshed from the creative bank.

   • Projected revenue ₹6.5L
   • Projected ROAS 2.79x
   • Planned ad spend ₹2.3L
4. Month 4

   New creator and customer-feedback videos join the account.

   • Projected revenue ₹8.8L
   • Projected ROAS 2.53x
   • Planned ad spend ₹3.5L
5. Month 5

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

   • Projected revenue ₹11.3L
   • Projected ROAS 2.38x
   • Planned ad spend ₹4.7L
6. Month 6

   Each budget move is read against the return it bought. Budget rises to the point where return would start to give way: return holds as the budget holds. Revenue ends below ₹20L–₹25L, the target set at enquiry, because the plan follows what the fastest tenth of our measured accounts reached. Cost per purchase ends higher than in the learning phase.

   • Projected revenue ₹11.4L
   • Projected ROAS 2.32x
   • Planned ad spend ₹4.9L

1. 01

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

2. 02

   Put 95% of the Meta budget behind videos of the core products, including a customer testimonial

3. 03

   Tracked Meta and Shopify side by side, day by day, in a shared sheet