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Food & beverage6 monthsCase study

Food & beverage case study: plan for ₹30L to ₹52.7L monthly revenue in 6 months

Monthly revenue at enquiry, self-reported₹30L
Projected for month 6, modelled₹52.7L
+76%
Planned ad spend₹53.5L
Projected revenue₹2.59Cr
Projected blended ROAS4.84x
Projected orders13,517
Projected revenue, month 6₹52.7L
Projected ROAS, month 64.92x
Projected cost / purchase, month 6₹381
Projected avg order value, month 6₹1,871
Projected conversion, month 62.28%
Horizon6 months
Target, brand's own₹1Cr a month
Plan reaches53% of target

01 · Plan

Month by month

Monthly plan
MonthPhasePlanned ad spendProjected revenueProjected ROASProjected purchasesProjected cost per purchase
At enquiry, self-reported––₹30L–––
Month 1Learning₹6,57,798₹31,90,7984.85x1,643₹400
Month 2Scaling₹6,51,892₹33,87,5715.20x1,741₹374
Month 3Scaling₹7,79,063₹39,40,0375.06x2,070₹376
Month 4Scaling₹10,36,731₹50,07,2544.83x2,614₹397
Month 5Steady₹11,54,510₹50,88,3694.41x2,631₹439
Month 6Steady₹10,72,795₹52,73,5174.92x2,818₹381
Total₹53,52,789₹2,58,87,5464.84x13,517₹396

02 · Funnel

Projected funnel, first view to purchase · month 6

  1. Impressions84,86,523
  2. Link clicks1,66,499
    1.96% of impressions
  3. Landing-page views1,23,705
    74.3% of link clicks1.458% of impressions
  4. Added to cart19,364
    15.65% of landing-page views0.228% of impressions
  5. Checkout started9,841
    50.82% of added to cart0.116% of impressions
  6. Purchases2,818
    28.64% of checkout started0.033% of impressions

0.033% of impressions became purchases

03 · Mix

Where the planned budget goes · month 6

SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram₹6,30,74658.8%1,6494.89x₹383
Facebook₹4,29,65540.1%1,1364.95x₹378
Audience Network₹12,3941.2%334.99x₹376
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram Reels₹3,27,53530.5%8574.90x₹382
Instagram Feed₹2,18,45720.4%5865.02x₹373
Facebook Reels₹2,05,31919.1%5585.09x₹368
Facebook Feed₹2,05,29519.1%5274.80x₹390
Instagram Stories₹84,7547.9%2064.55x₹411
Facebook Stories₹19,0411.8%514.99x₹373
Audience Network₹12,3941.2%334.99x₹376
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Prospecting (cold audiences)₹9,75,46990.9%2,5594.91x₹381
Retargeting (warm audiences)₹53,8885.0%1475.11x₹367
Lookalike audiences₹29,0312.7%744.78x₹392
Advantage+ shopping₹14,4071.3%384.93x₹379

04 · Creatives

Planned creative mix · month 6

New ads per month

Video46 a month
Static image9 a month
Catalogue (dynamic product ads)14 a month
UGC / creator video10 a month
Carousel5 a month
Moderate4.94xblended ROAS · 4 creative types₹10.4L spend
Watchlist4.14xblended ROAS · 1 creative type₹35,266 spend
Creative typeTierPlanned ad spendProjected purchasesProjected ROASProjected cost per purchase
Catalogue (dynamic product ads)Moderate₹1,36,8863765.14x₹364
Static imageModerate₹2,26,2056195.12x₹365
VideoModerate₹6,05,7701,5734.86x₹385
UGC / creator videoModerate₹68,6681724.68x₹399
CarouselWatchlist₹35,266784.14x₹452

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 repeat orders first, so the opening month on this established store goes there. Set up WhatsApp messages for abandoned checkouts and repeat orders from the start. Before budget rises, close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

    Why

    The enquiry came from an established food and beverage brand that wants to grow monthly revenue in 6 months, from ₹30L to ₹1Cr (3.3x). 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 repeat orders. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout. Conversion rate caps what any ad budget can return.

    How it works

    WhatsApp runs alongside paid retargeting, not instead of it. Fixes are listed and handed over early, so later budget lands on a store that converts.

  2. Measurement & targets · Month 1 to 6

    What we'd do

    Track ad-platform revenue beside store revenue and net sales after returns, cancellations and tax. Set the path from ₹30L to ₹1Cr as written monthly targets, and read every review against the month so far.

    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. Returns, cancellations and tax cut logged revenue, so targets are set on net sales. A missed month shows up early instead of at the end of the plan.

    How it works

    Budget decisions are read off net sales, not the ad platform alone. Written targets make each scaling decision explicit.

  3. Creative testing · Month 1

    What we'd do

    Test with video, catalogue ads and UGC and creator video first, rising to several dozen new ads a month by the final month, keeping carousel on a short leash because its return trails the account. Run one broad video campaign of the core products, with a customer testimonial, and give it most of the budget. The learning month runs on a small daily budget, stepping up only once orders confirm. Lead with video that carries trust: creators, customer feedback and founder-led pieces.

    Why

    Broad delivery lets the algorithm find buyers for an everyday product. The first rupees are for finding the buyer, not for volume. In most accounts we measured, video that carried trust held its return.

    How it works

    The video that takes off is scaled; the tests around it are cut. Spend steps up only after orders confirm at the low budget. Low-quality UGC is pulled and founder-led video takes its place. New ads rise with the budget, most of them video, then catalogue ads.

  4. Scaling · Month 2 to 4

    What we'd do

    Through Month 2 to Month 4, push as far toward ₹1Cr as return allows: the budget rises gently while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. Front-load about a third of each month's budget into the first week. Put seasonal collection campaigns in front of each festive and wedding peak.

    Why

    In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. Return holds through these months because each budget step stops where return would slip. Early-month demand is stronger for repeat consumables.

    How it works

    The monthly budget curve is weighted to the opening days. Spend shifts into each season and between regions with the calendar. Most of the final month's spend sits on Instagram Reels, then Instagram Feed. 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 ₹1Cr where return permits. Recover abandoned checkouts and lift repeat orders with WhatsApp messages. Build lookalikes from repeat buyers and retarget past buyers with new arrivals.

    Why

    Growth slows from Month 5, still short of ₹1Cr. Spend holds roughly steady from here. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout. An order from a returning buyer costs the least.

    How it works

    Messages run beside retargeting ads. Past buyers see new arrivals before anyone else.

06 · Milestones

Projected milestones by month

  1. Month 1

    First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. WhatsApp checkout recovery is switched on. Net sales are reconciled against logged revenue.

    • Projected revenue ₹31.9L
    • Projected ROAS 4.85x
    • Planned ad spend ₹6.6L
  2. Month 2

    The scaling phase opens: repeat-order messages go to past buyers. With budget holds, return on spend rises.

    • Projected revenue ₹33.9L
    • Projected ROAS 5.20x
    • Planned ad spend ₹6.5L
  3. Month 3

    Past buyers get the new arrivals ahead of prospecting. With budget steps up, return on spend holds.

    • Projected revenue ₹39.4L
    • Projected ROAS 5.06x
    • Planned ad spend ₹7.8L
  4. Month 4

    The seasonal collection campaign leads this period's spend mix.

    • Projected revenue ₹50.1L
    • Projected ROAS 4.83x
    • Planned ad spend ₹10.4L
  5. Month 5

    From here the work shifts to keeping ads fresh and bringing buyers back.

    • Projected revenue ₹50.9L
    • Projected ROAS 4.41x
    • Planned ad spend ₹11.5L
  6. Month 6

    Customer-feedback and creator videos are refreshed. With budget holds, return on spend rises. Revenue ends below ₹1Cr, the target set at enquiry, because the plan follows what the fastest tenth of our measured accounts reached. Cost per purchase ends close to the learning phase.

    • Projected revenue ₹52.7L
    • Projected ROAS 4.92x
    • Planned ad spend ₹10.7L

07 · Learnings

Learnings from Food & beverage brands we measured

  1. 15 UGC videos, including regional-language cuts for the two best-selling states

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

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

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