Food & beverage case study: ₹5L to ₹4.7L monthly revenue in 1 month
Case study
Week by week
Revenue by week
| Week | Phase | Ad spend | Revenue | ROAS | Purchases | Cost per purchase |
|---|---|---|---|---|---|---|
| Start | – | – | ₹5L | – | – | – |
| Week 1 | Learning | ₹42,394 | ₹1,18,385 | 2.79x | 76 | ₹558 |
| Week 2 | Learning | ₹39,856 | ₹1,15,312 | 2.89x | 75 | ₹531 |
| Week 3 | Learning | ₹40,425 | ₹1,16,069 | 2.87x | 74 | ₹546 |
| Week 4 | Learning | ₹43,612 | ₹1,19,585 | 2.74x | 80 | ₹545 |
| Total | ₹1,66,287 | ₹4,69,351 | 2.82x | 305 | ₹545 |
Funnel
Funnel, first view to purchase the last 4 weeks
- Impressions9,66,181
- Link clicks18,8661.95% of impressions
- Landing-page views14,25975.58% of link clicks1.476% of impressions
- Added to cart1,49610.49% of landing-page views0.155% of impressions
- Checkout started87058.16% of added to cart0.09% of impressions
- Purchases30535.06% of checkout started0.032% of impressions
0.032% of impressions became purchases
Mix
Where the budget goes the last 4 weeks
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| ₹95,781 | 57.6% | 175 | 2.81x | ₹547 | |
| ₹68,575 | 41.2% | 126 | 2.84x | ₹544 | |
| Audience Network | ₹1,931 | 1.2% | 4 | 2.87x | ₹483 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Instagram Reels | ₹44,504 | 26.8% | 81 | 2.81x | ₹549 |
| Instagram Feed | ₹37,811 | 22.7% | 71 | 2.88x | ₹533 |
| Facebook Reels | ₹32,802 | 19.7% | 62 | 2.92x | ₹529 |
| Facebook Feed | ₹32,661 | 19.6% | 58 | 2.75x | ₹563 |
| Instagram Stories | ₹13,466 | 8.1% | 23 | 2.61x | ₹585 |
| Facebook Stories | ₹3,112 | 1.9% | 6 | 2.87x | ₹519 |
| Audience Network | ₹1,931 | 1.2% | 4 | 2.87x | ₹483 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹1,49,443 | 89.9% | 274 | 2.82x | ₹545 |
| Retargeting (warm audiences) | ₹8,845 | 5.3% | 17 | 2.93x | ₹520 |
| Lookalike audiences | ₹5,855 | 3.5% | 10 | 2.75x | ₹586 |
| Advantage+ shopping | ₹2,144 | 1.3% | 4 | 2.83x | ₹536 |
Creatives
Creative mix the last 4 weeks
New ads per month
| Creative type | Tier | Ad spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Catalogue (dynamic product ads) | Moderate | ₹20,767 | 40 | 2.96x | ₹519 |
| Static image | Moderate | ₹33,665 | 65 | 2.94x | ₹518 |
| Video | Moderate | ₹93,310 | 169 | 2.79x | ₹552 |
| UGC / creator video | Moderate | ₹12,744 | 22 | 2.69x | ₹579 |
| Carousel | Watchlist | ₹5,801 | 9 | 2.38x | ₹645 |
How we run it
How we run it, why, and how it works
Research & offer Week 1 to 2
What we do
We start with marketing and social presence, which the brand in this scenario named first, before anything else on this mid-sized store. We start with a website audit, a creative brief and a monthly media schedule in the first week. We add cart-value offers that step up at set basket sizes to lift order value.
Why
A mid-sized food and beverage brand grows monthly revenue in 1 month, from ₹5L to ₹20L (4x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the case study follows the pace of that top tenth rather than forcing the number. The main problem was marketing and social presence. Later budget calls need something written to be judged against. Higher order value lowers the share of each order that goes to ads.
How it works
All three are shared with the brand's team before any budget step. Tier levels are set just above the basket sizes buyers already reach.
Measurement & reviews Week 1 to 4
What we do
We keep a shared daily sheet with the ad platform's revenue next to real store orders. We agree a written number for every week on the way from ₹5L to ₹20L, and start each review with the week-to-date figure against it.
Why
It did not report a return on ad spend, so the case study starts from what measured stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. A missed week shows up early instead of at the end of the case study.
How it works
The sheet is read before each budget change. Written monthly numbers make each scaling decision explicit.
Creative testing Week 1 to 4
What we do
We lead the testing layer with video, catalogue ads and UGC and creator video, building to a few dozen new ads a month by the last four weeks, with carousel watched closely since it returns less than the rest. We keep creators producing UGC video on a steady schedule, and cut the winners into regional languages. We put most of the budget behind one broad video campaign of the core products, including a customer testimonial. We run every lead product in a campaign of its own, read every week.
Why
A steady supply keeps the testing layer fed, and regional cuts reach more buyers with the same idea. An everyday product sells best when the algorithm is free to find its buyers. Shared campaigns hide weak products; separate ones expose them fast.
How it works
Winning UGC is cut into regional languages before new ideas are bought. The video that takes off is scaled; the tests around it are cut. Budget follows the products that sell. New ads rise with the budget, most of them video, then catalogue ads.
Scaling Week 4
What we do
We scale through Week 4 toward ₹20L as the budget stays close to the learning level while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We tie every budget increase to return: we step up while it holds, and step back when it drops. We scale into the festive and wedding calendar with seasonal collection campaigns.
Why
In Week 4 the budget stays close to the learning level, while return on spend holds. Return holds through these weeks because each budget step stops where return starts to slip. Demand is seasonal and regional, so spend moves with the calendar.
How it works
There is no fixed ramp; each week's budget follows the return of the last. Spend shifts into each season and between regions with the calendar. In the last four weeks, Instagram Reels takes the most spend and Instagram Feed the next most. Cold audiences take most of the budget; warm audiences return more per rupee.
Milestones
Milestones by week
- Week 1
Learning starts: a small daily budget carries the first ads, and store orders are matched to tracking. Basket-size offers switch on at checkout. The daily sheet now matches platform revenue to store orders.
- Revenue ₹1.2L
- ROAS 2.79x
- Ad spend ₹42,394
- Week 2
First creative read: ads that do not convert are cut. Spend holds, and return holds.
- Revenue ₹1.2L
- ROAS 2.89x
- Ad spend ₹39,856
- Week 3
Offers and store fixes switch on as the first orders confirm.
- Revenue ₹1.2L
- ROAS 2.87x
- Ad spend ₹40,425
- Week 4
Learning phase closes: the buyer found and the winning creative picked. Spend holds, and return dips. ₹20L is not reached in the time, because budget stops rising where return starts to slip. Each order costs about what it did while learning.
- Revenue ₹1.2L
- ROAS 2.74x
- Ad spend ₹43,612
Learnings
Learnings from Food & beverage brands we measured
Put most of the budget behind one broad video campaign of the core products, and scale a video that takes off.
Facebook Reels carries the largest share of spend in this industry's measured accounts.
Moved a third of spend into one broad video campaign at 3.6x
Services: Performance marketing Ads video creation Food & beverage marketing guide Book a call
More Food & beverage case studies
Ready to grow with one team?
Book a call. If we can help you grow, we show you how; if we cannot, we tell you that too.
