Food & beverage case study: plan for Under ₹1L to ₹1.3L monthly revenue in 1 year

New ads per month

1. 1

   Research & offer · Month 1

   What we'd do

   Aim the first month at a clear strategy, the problem named at booking, on a smaller base. Start with a website audit, a creative brief and a monthly media plan in the first week. Layer the account: a creative-testing campaign, a scaling campaign, cold audiences that exclude past buyers, and cart retargeting. Set basket-size offers that reward a second and third item in the cart.

   Why

   The enquiry came from a smaller food and beverage brand that wants to grow monthly revenue in 1 year, from Under ₹1L to ₹40L–₹50L (45x). 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. The problem named at booking was a clear strategy. A written brief gives every later budget decision a reference point. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   All three are shared with the brand's team before any budget step. Warm layers run beside prospecting, not instead of it. The tiers follow real order values, not round numbers.

2. 2

   Measurement & targets · Month 1 to 12

   What we'd do

   Track ad-platform revenue beside store orders in a shared daily sheet. Agree a written target for every month on the way from Under ₹1L to ₹40L–₹50L, 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

   No return on ad spend was given at booking; the starting return is what measured food and beverage stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. Written targets expose a slow month while there is still time to act.

   How it works

   The sheet is read before each budget change. The target for the month is on the page at every review. 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 about two dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Give each lead product its own campaign and read it weekly. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. Run static images next to the video ads.

   Why

   A product nobody buys is visible within a week when it has its own campaign. Broad delivery lets the algorithm find buyers for an everyday product. Across measured accounts in all industries, static images reached the top creative tier most often.

   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 join once a winning video is found. More spend buys more new ads, led by video ahead of catalogue ads.

4. 4

   Scaling · Month 2 to 9

   What we'd do

   Through Month 2 to Month 9, push toward ₹40L–₹50L: the budget rises gently and return dips, and Instagram Reels carries the most spend and Facebook 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. Make regional-language versions of the winning video for the states that buy most.

   Why

   In Month 2 to Month 9 the modelled budget rises gently, and return on spend dips. In several of these months budget goes up only as far as return allows, so revenue grows more slowly than the target needs. In one of these months budget holds, because return is below the level where more budget pays. Spend scaled in our measured accounts pushed cost per order up and return down, so no step is taken on hope. 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. Regional cuts run beside the original winner. Most of the final month's spend sits on Instagram Reels, then Facebook Feed. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

5. 5

   Steady state · Month 10 to 12

   What we'd do

   From Month 10, hold the gains and push toward ₹40L–₹50L 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 10, still short of ₹40L–₹50L. Spend holds roughly steady from here. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   The bank means a tired ad is replaced the week it tires. Messages run beside retargeting ads.

1. Month 1

   The learning phase opens: a small daily budget carries the first ads, and store orders are matched to tracking. Store orders and platform revenue are reconciled in the shared sheet. Cart-value offers go live at checkout.

   • Projected revenue ₹96,256
   • Projected ROAS 2.12x
   • Planned ad spend ₹45,365
2. Month 2

   The scaling phase opens: regional-language versions of the winner go live. Return on spend holds while budget steps up.

   • Projected revenue ₹1.1L
   • Projected ROAS 2.08x
   • Planned ad spend ₹54,647
3. Month 3

   Products that do not sell are paused and budget moves to the winners. Budget is raised only as far as return allows: return on spend dips while budget steps up.

   • Projected revenue ₹1.2L
   • Projected ROAS 1.90x
   • Planned ad spend ₹65,030
4. Month 4

   Tired ads are refreshed from the creative bank. Budget is raised only as far as return allows: return on spend holds while budget holds.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.90x
   • Planned ad spend ₹67,900
5. Month 5

   Past buyers get a WhatsApp nudge for their next order.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.86x
   • Planned ad spend ₹71,416
6. Month 6

   Statics go live next to the winning video.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.87x
   • Planned ad spend ₹71,022
7. Month 7

   The budget decision is taken on the return the last step earned.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.95x
   • Planned ad spend ₹68,314
8. Month 8

   Regional-language versions of the winner go live.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.90x
   • Planned ad spend ₹70,135
9. Month 9

   Products that do not sell are paused and budget moves to the winners. More budget would not pay at this return, so return on spend holds while budget holds.

   • Projected revenue ₹1.3L
   • Projected ROAS 1.95x
   • Planned ad spend ₹68,439
10. Month 10

    The plan moves into its steady phase, leaning on refreshed ads and repeat buyers. Budget is raised only as far as return allows: return on spend holds while budget holds.

    • Projected revenue ₹1.3L
    • Projected ROAS 1.94x
    • Planned ad spend ₹68,072
11. Month 11

    The creative bank supplies this period's refresh.

    • Projected revenue ₹1.3L
    • Projected ROAS 1.87x
    • Planned ad spend ₹70,023
12. Month 12

    Past buyers get a WhatsApp nudge for their next order. Budget is raised only as far as return allows: return on spend holds while budget holds. ₹40L–₹50L is not reached in the time, because budget stops rising where return would slip. Cost per purchase ends higher than in the learning phase.

    • Projected revenue ₹1.3L
    • Projected ROAS 1.90x
    • Planned ad spend ₹69,282

1. 01

   Layer the account: creative testing, a scaling campaign, new audiences that exclude past buyers, and catalogue or cart retargeting.

2. 02

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

3. 03

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