Delivery zone and radius: the kilometre that eats your EBITDA

Verdict: choosing delivery zone and radius is a unit-economics decision, not a coverage decision. The profitable radius sits where contribution margin per order still covers the delivery cost and the algorithm's time penalty: in practice a dense 2.5 to 3.5 km core worked at high frequency beats an 8 km map worked halfway. The traditional method draws a circle and waits; the MASTERESTAURANT method builds the territory from density data, per-cell average ticket and real travel time, then defends it with local SEO, Google Business Profile and geotargeted paid media.
An operator in the 500 thousand to 1 million USD annual band loses six to nine points of contribution margin not because of food cost, but because it delivers to customers sitting eleven minutes further out than the kitchen can absorb at peak.
The delivery channel is settled, and China alone is projected at USD 539.87 billion in delivery revenue for 2026, according to Statista (2026): what is not settled is how far your rider goes.
Sector net margin runs between 3% and 9% (Statista), while high-performing ghost kitchens hold 10% to 30% (OysterLink, 2025); that gap is not opened by the recipe, it is opened by the geometry of the operation.
Choosing delivery zone and radius: side-by-side comparison
| Traditional method | MASTERESTAURANT method | |
|---|---|---|
| Declared delivery radius | ✕6 to 10 km fixed, drawn by eye on the app map | ✓2.5 to 3.5 km core plus an outer ring gated by minimum ticket and time slot |
| Sustained net margin | ✕3% to 9%, the sector band (Statista) | ✓10% to 30%, the band of high-performing ghost kitchens (OysterLink, 2025) |
| Kitchen opening investment | ✕Dining-room site: capital locked into seats the delivery channel never uses | ✓USD 75,000 to 200,000 ghost-kitchen start-up (OysterLink, 2025), concentrated in production |
| Brand model on the territory | ✕One brand, one map, one channel | ✓Hybrid: most US virtual brands run from an existing kitchen, according to Technomic (Apicbase) (2025). |
| Territory expansion route | ✕Open another site and duplicate rent and payroll | ✓Virtual brand: 32% of restaurant expansion strategies in 2025 (Technomic via Apicbase, 2025) |
| Reference density per cell | ✕No measurement: you deliver wherever an order lands | ✓Replicates China's scale logic, with over 3,200 ghost-kitchen facilities (Coherent Market Insights, 2024) |
| Reading the marketplace algorithm | ✕Rappi's commission gets blamed for the lost margin | ✓Acceptance time, cancellation rate and 5★ reviews are worked as ranking levers |
| Capital available to the sector | ✕Assumes foodtech no longer funds anything | ✓USD 16 billion in global agrifoodtech in 2024 (AgFunder, 2025), with developing markets at USD 3.7 billion, up 63% |
1. What delivery radius is actually profitable for a restaurant?
A profitable radius ends where the contribution margin per order stops covering the cost of serving it, and in most urban kitchens that point lands between 3 and 4 kilometers, not the 8 the app enables by default.
The gap between those two numbers explains much of why sector net margin sits between 3% and 9% (Statista) while well-shaped ghost kitchens hold 10% to 30% (OysterLink, 2025). An order at 7 kilometers does not cost twice what one at 3.5 costs: it costs more, because during peak hours it locks up a courier for twenty minutes, stretches the promised window, drags the rating down and, with it, your position in the marketplace ranking. The cost is COMPOUND, and that compounding shows up on no single line of your income statement.
2. Under USD 500,000 a year: one core, 2.5 kilometers, no exceptions
If you bill less than half a million dollars a year, close the radius at 2.5 kilometers and stop negotiating it over the phone when an order comes in from 6. At that volume you have one kitchen, two or three people on the line and zero slack: every distant order you accept steals capacity from three nearby ones you could have delivered hot. The operating threshold I use with these operators is simple and measurable: if more than 15% of a week's orders exceed 30 minutes door to door, the radius is wrong, not the courier. Keep the scale of the channel in mind before overexposing yourself to it: China alone is projected at USD 539.87 billion in delivery revenue for 2026, according to Statista (2026), and even so the small band wins by concentrating, not by covering map.
3. USD 500,000 to 1 million: where 6 to 9 points vanish unnoticed
An operator in this band loses 6 to 9 points of contribution margin not because of food cost, but because of delivering to customers sitting 11 minutes farther out than the kitchen can absorb at peak. The right move here is splitting the radius into two rings with different pricing: a core from 0 to 3.5 kilometers with the full menu, and an outer ring from 3.5 to 5 with a minimum ticket 35% higher and no dishes that degrade in transit. Diego F. Parra keeps pushing operators at Masterestaurant to check this against the weekly cash, never against the map: measure contribution margin per order in each ring for four weeks and amputate whichever ring fails to cover its own delivery cost. The outer ring almost always adds volume and subtracts profit.
4. Above USD 1 million: a second kitchen before a wider radius
Past a million dollars a year, the answer to demand falling outside your radius is not stretching the radius: it is opening a second production point. Initial investment in a ghost kitchen runs USD 75,000 to 200,000 (OysterLink, 2025), a figure you recover faster than the cost of sustaining a year of long deliveries with a deteriorated rating. The trigger I recommend has two variables: 40 weekly orders rejected or delivered outside window in one zone for eight consecutive weeks, plus density enough for 6 orders per peak hour inside that polygon. Without both conditions together, the second kitchen is a real estate bet dressed up as expansion. With them, it is arithmetic.
5. Above USD 5 million: the high-end operator and the format problem
Above 5 million a different profile shows up: the large-format themed restaurant or the brand signed by a media chef, where the promise of the experience does not travel well on a motorbike. That operator should restrict the delivery radius to 2 kilometers and build a separate delivery menu, because the reputational damage of a signature dish arriving lukewarm costs more than the orders left on the table. The profitable route for monetizing distant demand is the virtual brand: today 32% of restaurant expansion strategies run through virtual brands, according to Technomic (2025), operating a hybrid model on existing kitchens. You cover more map under another name, not under the expensive one.
6. Groups and chains above USD 10 million: the radius becomes a network problem
Once a group crosses ten million dollars a year, leaving the radius to each local manager is the most expensive silent leak in the portfolio. That decision moves up to the board table and gets made with overlapping polygons: no location should share more than 20% of its service area with another under the same brand, and the radius gets recalculated each quarter against real order density, never against a franchisee's ambition. Delivery Hero billed €12.8 billion in its delivery segment in 2024, up 22% year over year (Delivery Hero, Q4 and FY 2024), and DoorDash moved USD 21.3 billion of marketplace GOV in the fourth quarter alone (DoorDash, 2024): those platforms optimize their network, not yours. Someone on your side has to do it.
7. Wide coverage is emotional insurance; density is an asset
Widening the radius soothes the anxiety of a slow week and wrecks the economics of the next one. According to Alex Canter, founder of Nextbite and operator of Canter's Deli, the advantage of virtual brands lies in squeezing idle capacity out of a kitchen that already exists, and that logic breaks the moment a courier carries twenty minutes of that capacity into a neighborhood where you have three customers. Run the whole scenario: double the radius, you quadruple the area, order density per square kilometer drops to a quarter, average delivery time rises, ratings fall, the algorithm surfaces you less, and you end up with the same revenue spread over twice the logistics cost. It is a trap you keep paying for months.
8. What to measure Monday morning
Open the platform report, filter by distance and calculate contribution margin per order across three bands: 0 to 3 kilometers, 3 to 5, and beyond 5. You need each band's average ticket, the commission actually charged, the shipping cost you subsidize and the food cost of the top seller in each zone. Operators under 500,000 almost always find the beyond-5-kilometer band working below variable cost, while the 500,000 to 1 million band finds it barely at breakeven, which is worse because it does not hurt. China's market projects USD 539.87 billion in delivery revenue for 2026 (Statista, 2026); your problem is not the size of the channel, it is how far your van goes with money on top.
9. What separates a profitable radius from a decorative one?
The traditional radius is defined by what the platform allows; the MR radius is defined by the point where contribution margin per order crosses the cost of serving it.
Two different numbers, and they almost never match. An order at 7 km does not cost twice an order at 3.5 km: it costs more, because at peak it locks the rider, stretches the delivery window, pushes the rating down and, with it, ranking visibility inside the app. The real cost compounds. Broad coverage is psychological insurance against weak demand; density is a financial asset.
10. What separates a profitable radius from a decorative one — in practice
According to Alex Canter, founder of Nextbite and operator of Canter's Deli, the edge of virtual brands lies in squeezing idle capacity out of a kitchen that already exists, not in covering more map with the same kitchen. Territory is defended with a local digital engine: a complete Google Business Profile, recent 5★ reviews and paid media geotargeted to the serviceable polygon. An ad shown 9 km from the kitchen buys traffic the operation cannot monetise. In dark kitchen vs brick and mortar, the physical site pays for seats and the digital one pays for distance. Confusing those two economies is the error I keep finding in the expansion plans that reach my desk.
Decision scorecard: where each method wins
What the traditional operator does
- Sets the widest radius the app allows, on the belief that further reach means more sales.
- Measures success in order count rather than contribution margin per order.
- Discovers the cost of the kilometre six months in, when EBITDA still refuses to show up.
- Treats the Google Business Profile listing as paperwork instead of the local acquisition asset it is.
- Competes on price against kitchens carrying 40% less fixed cost per order.
What the MR decision architecture does
- Splits the territory into cells and measures average ticket, density and real travel time in each one.
- Sets the radius where contribution margin per order is still positive after delivery cost.
- Uses a gated outer ring with minimum ticket and time window instead of opening or closing the whole map.
- Anchors acquisition in local SEO, recent 5★ reviews and geotargeted media over the exact polygon the kitchen can serve.
- Treats every virtual brand as a unit with its own unit economics and its own operational due diligence.
The numbers behind the decision
“We delivered up to 8 km because switching off orders scared us. When we cut the core to 3.2 km and left a ring with a minimum ticket, orders fell 14% in two weeks and contribution margin per order rose enough to close the quarter at 11% operating margin, inside the 10% to 30% band OysterLink reports for high-performing kitchens. We bill 720 thousand USD a year from one kitchen and two virtual brands; the big map was costing us around 4,000 USD a month in orders that arrived late and got rated three stars.”
Composite case for illustration: the names and figures in it do not describe a real business and are not industry data.
Strategic roadmap in three phases
Deliverable: a 1 km² cell map with orders, average ticket and real delivery time for the last 90 days, crossed against delivery cost per cell. Cells get ranked by contribution margin per order, never by volume. Success metric: identify the 20% of cells producing at least 60% of margin and document the kilometre mark where margin per order drops below 18%. This is the operational due diligence of the territory, and no later decision is taken without it.
Deliverable: core radius fixed between 2.5 and 3.5 km according to measured density, plus an outer ring enabled only with a minimum ticket and in low-saturation windows. Geotargeted media budget is reassigned to the serviceable polygon and the Google Business Profile listing is cleaned up with hours, product photography and review responses. Success metric: contribution margin per order up five points and average delivery time under 32 minutes in the core, with ratings held at 4.7★ or better.
Deliverable: a second virtual brand on the same kitchen, aimed at a daypart or an occasion the first one does not cover, inside the hybrid model that most US virtual brands already use. Success metric: raise off-peak kitchen utilisation by at least 25 points and add 12% to 20% of incremental revenue without opening a single new square metre or moving the validated radius.
And with AI?
Optimize channels, pricing and unit economics of your dark kitchen. Diego F. Parra is an expert in AI applied to restaurants.
Choosing delivery zone and radius: free tools to start today
Ecosystem tools that hold the decision together
Margin cartography and the radius cut run on instruments, not intuition: the per-cell financial model, the weekly cash dashboard and channel-level menu engineering live inside the Masterestaurant ecosystem and are used in that order.
Questions an owner asks before signing
What is the right delivery radius for a dark kitchen from scratch?
What is the right delivery radius for a dark kitchen from scratch?
Start with a 2.5 to 3.5 km core and widen it only once contribution margin per order is validated. The right radius is not a universal number: it is the point where delivery cost and the time penalty stop eating margin. With sector margins between 3% and 9% (Statista), one badly calculated kilometre erases the whole quarter.
Should I close the dining room and live off Rappi delivery orders?
Should I close the dining room and live off Rappi delivery orders?
No, unless your dining-room unit economics are already broken. The dining room delivers average ticket, table turnover and beverage margins delivery cannot replicate; the ghost kitchen is an extra layer of utilisation, not a replacement.
What does it cost NOT to fix the delivery zone this year?
What does it cost NOT to fix the delivery zone this year?
It costs the gap between the sector's 3-9% net margin (Statista) and the 10-30% high-performing kitchens sustain (OysterLink, 2025). On a 1 million USD operation that gap is between 70 thousand and 200 thousand USD of EBITDA left on the street, spread across distant orders that arrive late and drag the rating down.
How do I increase sales on Rappi without widening the radius?
How do I increase sales on Rappi without widening the radius?
By working the three levers the algorithm actually rewards: acceptance time, cancellation rate and recent reviews. A tight radius delivers faster, holds ratings at 4.7★ or above and lifts visibility inside the area you can genuinely serve. Then add a second virtual brand on the same kitchen, the route already used by 32% of sector expansion strategies (Technomic via Apicbase, 2025).
2026 data on choosing delivery zone and radius
Verifiable industry benchmarks from official, non-commercial sources (government, industry associations, market research) - not competitors.
| Metric | Value | Source |
|---|---|---|
| Customers who'd order more to-go variety with packaging that preserves quality | 90% (2025) | National Restaurant Association — Increased sales come in the right packages 2025 |
| DoorDash share of the US food delivery market | ~67% (2024) | Nation's Restaurant News — Why the restaurant delivery wars have a clear winner 2024 |
| Maximum initial investment to launch a ghost kitchen | $75,000 to $200,000 USD (initial investment range) (2025) | OysterLink — Ghost Kitchens Explained: Data, Costs and Industry Impact [2025] |
| share of food lost globally between harvest and the retail stage | over 13 percent (2024 figure; FAO's SDG Indicators Data Portal gives 13.3 percent for 2023) | FAO (Food and Agriculture Organization of the United Nations): Tackling food loss and waste from the farm to the table and beyond 2024 |
| global agrifoodtech investment in 2024, a 4% year-over-year decline | $16 billion in 2024, a 4% drop from 2023 | AgFunder — NEW REPORT: Global agrifoodtech breaks funding freefall with $16bn in 2024 |
| U.S. startup agrifoodtech investment in 2024, up 14% | $6.6 billion in 2024, up 14% from the prior year's $5.8 billion | AgFunder News (AgFunder) — US agrifoodtech funding up 14% driven by investment in AI-related startups 2025 |
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The Masterestaurant method for choosing delivery zone and radius
Applied in +8.400 restaurants across 43 countries.
