Food & beverage case study: ₹50,000 to ₹60,841 monthly revenue in 8 weeks
Case study
Week by week
Revenue by week
| Week | Phase | Ad spend | Revenue | ROAS | Purchases | Cost per purchase |
|---|---|---|---|---|---|---|
| Start | – | – | ₹50,000 | – | – | – |
| Week 1 | Learning | ₹6,236 | ₹12,246 | 1.96x | 11 | ₹567 |
| Week 2 | Learning | ₹5,964 | ₹11,388 | 1.91x | 10 | ₹596 |
| Week 3 | Learning | ₹6,086 | ₹11,418 | 1.88x | 10 | ₹609 |
| Week 4 | Learning | ₹6,148 | ₹12,005 | 1.95x | 11 | ₹559 |
| Week 5 | Scaling | ₹6,775 | ₹13,132 | 1.94x | 12 | ₹565 |
| Week 6 | Scaling | ₹8,237 | ₹15,392 | 1.87x | 14 | ₹588 |
| Week 7 | Scaling | ₹8,501 | ₹15,911 | 1.87x | 14 | ₹607 |
| Week 8 | Scaling | ₹8,346 | ₹16,406 | 1.97x | 15 | ₹556 |
| Total | ₹56,293 | ₹1,07,898 | 1.92x | 97 | ₹580 |
Funnel
Funnel, first view to purchase the last 4 weeks
- Impressions2,23,323
- Link clicks4,0961.83% of impressions
- Landing-page views3,00173.27% of link clicks1.344% of impressions
- Added to cart2648.8% of landing-page views0.118% of impressions
- Checkout started14655.3% of added to cart0.065% of impressions
- Purchases5537.67% of checkout started0.025% of impressions
0.025% of impressions became purchases
Mix
Where the budget goes the last 4 weeks
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| ₹17,277 | 54.2% | 30 | 1.90x | ₹576 | |
| ₹14,582 | 45.8% | 25 | 1.92x | ₹583 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Instagram Reels | ₹8,699 | 27.3% | 15 | 1.90x | ₹580 |
| Facebook Reels | ₹8,042 | 25.2% | 14 | 1.97x | ₹574 |
| Facebook Feed | ₹6,540 | 20.5% | 11 | 1.86x | ₹595 |
| Instagram Feed | ₹6,046 | 19.0% | 11 | 1.95x | ₹550 |
| Instagram Stories | ₹2,532 | 7.9% | 4 | 1.77x | ₹633 |
| Segment | Ad spend | Share of spend | Purchases | ROAS | Cost per purchase |
|---|---|---|---|---|---|
| Prospecting (cold audiences) | ₹29,072 | 91.3% | 50 | 1.91x | ₹581 |
| Retargeting (warm audiences) | ₹1,813 | 5.7% | 3 | 1.99x | ₹604 |
| Lookalike audiences | ₹974 | 3.1% | 2 | 1.86x | ₹487 |
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 | ₹3,971 | 7 | 2.00x | ₹567 |
| Static image | Moderate | ₹6,419 | 12 | 1.99x | ₹535 |
| Video | Moderate | ₹18,369 | 31 | 1.89x | ₹593 |
| UGC / creator video | Moderate | ₹2,162 | 4 | 1.82x | ₹540 |
| Carousel | Watchlist | ₹938 | 1 | 1.61x | ₹938 |
How we run it
How we run it, why, and how it works
Research & offer Week 1 to 2
What we do
Before budget rises, we get the smaller food and beverage store ready to convert paid traffic. We open with three documents: a website audit, a creative brief and a media schedule by month. We set basket-size offers that reward a second and third item in the cart.
Why
A smaller food and beverage brand grows monthly revenue in 8 weeks, from ₹50,000 to ₹4.5L (9x). 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 brand in this scenario named no single problem, so the case study starts from the numbers. Without a brief, each creative and budget decision starts from scratch. Higher order value lowers the share of each order that goes to ads.
How it works
The audit, the brief and the media schedule are shared before spend rises. Offers are tuned to the order values that already sell.
Measurement & reviews Week 1 to 8
What we do
We agree a written number for every week on the way from ₹50,000 to ₹4.5L, and start each review with the week-to-date figure against it. We keep a shared daily sheet with the ad platform's revenue next to real store orders. We raise budget in a week only while return holds; where it starts to slip too far, we hold it.
Why
It did not report a return on ad spend, so the case study starts from what measured food and beverage stores of that size hold. The brand in this scenario also wants a return on ad spend of 3x, and the case study finishes below it. Return falls as budget grows, so holding that return means a smaller budget and less revenue. A missed week shows up early instead of at the end of the case study. Ad platforms claim more orders than stores record, so the store number decides budget.
How it works
Each budget step is argued against the written number. Every budget call starts from the store's orders. Where return starts to slip too far, the week keeps last week's budget.
Creative testing Week 1 to 4
What we do
We test with video, catalogue ads and UGC and creator video first, rising to about a dozen new ads a month by the last four weeks, with carousel watched closely since it returns less than the rest. We put most of the budget behind one broad video campaign of the core products, including a customer testimonial. We give each lead product its own campaign and read it weekly. We make trust the subject of the video: creator reels, customer feedback and founder-led clips.
Why
Broad delivery lets the algorithm find buyers for an everyday product. A product nobody buys is visible within a week when it has its own campaign. Trust-carrying video held return in most measured accounts.
How it works
The video that takes off is scaled; the tests around it are cut. Losing products are paused within a week and budget moves to the winners. 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.
Scaling Week 5 to 8
What we do
We scale through Week 5 to Week 8 toward ₹4.5L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Facebook Reels the next. We cut regional-language versions of the winning video for the best-selling states. We tie every budget increase to return: we step up while it holds, and step back when it drops.
Why
In Week 5 to Week 8 the budget rises gently, while return on spend holds. In four of these weeks budget goes up only as far as return allows, so revenue grows more slowly than the final number needs. Each budget step here is sized so that return stays close to where it was. Buyers respond to the same idea in their own language.
How it works
Regional cuts run beside the original winner. There is no fixed ramp; each week's budget follows the return of the last. Instagram Reels carries the largest share of spend in the last four weeks, with Facebook Reels next. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.
Milestones
Milestones by week
- Week 1
Learning starts: tracking is checked against store orders and the first ads go live on a small daily budget. The daily sheet now matches platform revenue to store orders. Cart-value offers go live at checkout.
- Revenue ₹12,246
- ROAS 1.96x
- Ad spend ₹6,236
- Week 2
The first read of the ads is in, and the ones that do not convert stop. Return on spend holds while budget holds.
- Revenue ₹11,388
- ROAS 1.91x
- Ad spend ₹5,964
- Week 3
Offers and store fixes switch on as the first orders confirm.
- Revenue ₹11,418
- ROAS 1.88x
- Ad spend ₹6,086
- Week 4
Learning phase closes: the buyer found and the winning creative picked.
- Revenue ₹12,005
- ROAS 1.95x
- Ad spend ₹6,148
- Week 5
Scaling begins: each budget move is read against the return it bought. Budget rises to the point where return starts to give way: return on spend holds while budget steps up.
- Revenue ₹13,132
- ROAS 1.94x
- Ad spend ₹6,775
- Week 6
Budget shifts to the products that sold this period.
- Revenue ₹15,392
- ROAS 1.87x
- Ad spend ₹8,237
- Week 7
Regional-language versions of the winner go live. Budget rises to the point where return starts to give way: return on spend holds while budget holds.
- Revenue ₹15,911
- ROAS 1.87x
- Ad spend ₹8,501
- Week 8
New creator and customer-feedback videos join the account. Budget rises to the point where return starts to give way: return on spend rises while budget rises. ₹4.5L is not reached in the time, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase. The final return on spend is below the 3x this scenario calls for.
- Revenue ₹16,406
- ROAS 1.97x
- Ad spend ₹8,346
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.
Cut regional-language versions of the winning creative for the best-selling states.
Facebook Reels carries the largest share of spend in this industry's measured accounts.
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