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Food & beverage6 monthsCase study

Food & beverage case study: plan for ₹1.3L to ₹1.5L monthly revenue in 6 months

Monthly revenue at enquiry, self-reported₹1.3L
Projected for month 6, modelled₹1.5L
+12%
Planned ad spend₹4.3L
Projected revenue₹8.3L
Projected blended ROAS1.91x
Projected orders921
Projected revenue, month 6₹1.5L
Projected ROAS, month 61.9x
Projected cost / purchase, month 6₹475
Projected avg order value, month 6₹902
Projected conversion, month 61.86%
Horizon6 months
Target, brand's own₹10Cr a month
Plan reaches0% of target

01 · Plan

Month by month

Monthly plan
MonthPhasePlanned ad spendProjected revenueProjected ROASProjected purchasesProjected cost per purchase
At enquiry, self-reported––₹1.3L–––
Month 1Learning₹63,686₹1,21,1641.90x135₹472
Month 2Scaling₹67,147₹1,34,1232.00x150₹448
Month 3Scaling₹72,143₹1,35,9081.88x153₹472
Month 4Scaling₹76,308₹1,44,3511.89x157₹486
Month 5Steady₹77,517₹1,46,2961.89x164₹473
Month 6Steady₹77,007₹1,46,0911.90x162₹475
Total₹4,33,808₹8,27,9331.91x921₹471

02 · Funnel

Projected funnel, first view to purchase · month 6

  1. Impressions7,10,318
  2. Link clicks11,571
    1.63% of impressions
  3. Landing-page views8,689
    75.09% of link clicks1.223% of impressions
  4. Added to cart888
    10.22% of landing-page views0.125% of impressions
  5. Checkout started439
    49.44% of added to cart0.062% of impressions
  6. Purchases162
    36.9% of checkout started0.023% of impressions

0.023% of impressions became purchases

03 · Mix

Where the planned budget goes · month 6

SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram₹45,08158.5%941.89x₹480
Facebook₹30,99840.3%661.91x₹470
Audience Network₹9281.2%21.93x₹464
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram Reels₹21,80928.3%461.89x₹474
Facebook Reels₹15,98620.8%351.96x₹457
Instagram Feed₹15,96420.7%341.94x₹470
Facebook Feed₹13,55317.6%281.85x₹484
Instagram Stories₹7,3089.5%141.76x₹522
Facebook Stories₹1,4591.9%31.93x₹486
Audience Network₹9281.2%21.93x₹464
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Prospecting (cold audiences)₹67,07187.1%1411.89x₹476
Retargeting (warm audiences)₹5,6277.3%121.97x₹469
Lookalike audiences₹2,9873.9%61.84x₹498
Advantage+ shopping₹1,3221.7%31.90x₹441

04 · Creatives

Planned creative mix · month 6

New ads per month

Video17 a month
Static image4 a month
Catalogue (dynamic product ads)5 a month
UGC / creator video4 a month
Carousel2 a month
Moderate1.91xblended ROAS · 4 creative types₹74,741 spend
Watchlist1.60xblended ROAS · 1 creative type₹2,266 spend
Creative typeTierPlanned ad spendProjected purchasesProjected ROASProjected cost per purchase
Static imageModerate₹16,670371.98x₹451
Catalogue (dynamic product ads)Moderate₹9,420211.98x₹449
VideoModerate₹42,958891.88x₹483
UGC / creator videoModerate₹5,693111.81x₹518
CarouselWatchlist₹2,26641.60x₹566

05 · How we'd help

How we'd help, why, and how it works

  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. Mark the festive and wedding dates first and have seasonal collections ready ahead of them. Use cart-value tiers so larger baskets earn a better offer.

    Why

    A smaller food and beverage brand came to us to grow monthly revenue in 6 months, from ₹1.3L to ₹10Cr (769.2x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The problem named at booking was reaching new buyers. Demand in this category rises and falls with the festive calendar. Each extra item in a basket is revenue the ad has already paid for.

    How it works

    Seasonal campaigns are prepared ahead of each peak. Offers are tuned to the order values that already sell.

  2. Measurement & targets · Month 1 to 6

    What we'd do

    Track ad-platform revenue beside store orders in a shared daily sheet. Set the path from ₹1.3L to ₹10Cr as written monthly targets, and read every review against the month so far. Set a written rule: no budget step in a month where return would fall too far to pay for 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. Ad platforms claim more orders than stores record, so the store number decides budget. A missed month shows up early instead of at the end of the plan.

    How it works

    Every budget call starts from the store's orders. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

  3. Creative testing · Month 1

    What we'd do

    Lead the testing layer with video, catalogue ads and static image, building to a few dozen new ads a month by the final month, with carousel watched closely since it returns less than the rest. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. Commission ads in batches, and read each batch for a set window before ordering the next. Make trust the subject of the video: creator reels, customer feedback and founder-led clips.

    Why

    An everyday product sells best when the algorithm is free to find its buyers. Buying more before a batch is read means paying for guesses. Video built on trust was the format that held return in most measured accounts.

    How it works

    A video that takes off gets the budget; tests that do not convert are cut. Losing batches stop; winning ads take their budget. UGC that underperforms is replaced by founder-led video, not given more budget. More spend buys more new ads, led by video ahead of catalogue ads.

  4. Scaling · Month 2 to 4

    What we'd do

    Scale through Month 2 to Month 4 toward ₹10Cr as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Reels the next. Scale into the festive and wedding calendar with seasonal collection campaigns. Cut regional-language versions of the winning video for the best-selling states.

    Why

    Across Month 2 to Month 4, the modelled budget rises gently, while return on spend holds. Three of these months stop their budget step where return would slip too far. Each budget step here is sized so that return stays close to where it was. Seasonal demand moves by region, so the spend does too.

    How it works

    Spend shifts into each season and between regions with the calendar. The regional versions run next to the original. In the final month, Instagram Reels takes the most spend and Facebook Reels the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

  5. Steady state · Month 5 to 6

    What we'd do

    From Month 5, protect the revenue already built and move toward ₹10Cr where return permits. Recover abandoned checkouts and lift repeat orders with WhatsApp messages. Refresh tired ads by mixing old and new creatives, and keep a creative bank.

    Why

    From Month 5 growth slows while revenue is still under ₹10Cr. Budget stays about level over these months. 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. The bank means a tired ad is replaced the week it tires.

06 · Milestones

Projected milestones by month

  1. Month 1

    First, the set-up: the first ads run on a small daily budget while tracking is checked against store orders. The cart-value tiers are live. Seasonal collections are prepared for the next peak.

    • Projected revenue ₹1.2L
    • Projected ROAS 1.90x
    • Planned ad spend ₹63,686
  2. Month 2

    Scaling starts: tired ads are refreshed from the creative bank. Budget rises to the point where return would start to give way: with budget holds, return on spend rises.

    • Projected revenue ₹1.3L
    • Projected ROAS 2.00x
    • Planned ad spend ₹67,147
  3. Month 3

    The winner now also runs in regional languages.

    • Projected revenue ₹1.4L
    • Projected ROAS 1.88x
    • Planned ad spend ₹72,143
  4. Month 4

    The creative batch is read and the winners keep the budget.

    • Projected revenue ₹1.4L
    • Projected ROAS 1.89x
    • Planned ad spend ₹76,308
  5. Month 5

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

    • Projected revenue ₹1.5L
    • Projected ROAS 1.89x
    • Planned ad spend ₹77,517
  6. Month 6

    Past buyers get a WhatsApp nudge for their next order. Budget rises to the point where return would start to give way: with budget holds, return on spend holds. The plan finishes short of ₹10Cr: budget stops rising where return would slip. Each order costs about what it did while learning.

    • Projected revenue ₹1.5L
    • Projected ROAS 1.90x
    • Planned ad spend ₹77,007

07 · Learnings

Learnings from Food & beverage brands we measured

  1. Targeted by region for regional festivals, and pan-India for Dasara and Diwali

  2. 15 UGC videos, including regional-language cuts for the two best-selling states

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

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