Food Delivery Unit Economics
Consumer Financial Model (Free Excel Download)
Plan delivery-platform growth through orders, take rates, courier costs, customer payback, density, and contribution margin for market expansion decisions.
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About this model
A food delivery aggregator financial model projects the unit economics of a regional marketplace connecting consumers, restaurants, and couriers. Revenue comes from restaurant commissions (20–25% of order value for platform couriers, 15% for restaurant own-drivers), consumer delivery fees ($2.50 + 10% of order value typical), advertising revenue (restaurants bid for top placement: 2% of GOV at maturity), and subscription programs ($9.99/month at 15% penetration). The key is not to confuse Gross Order Value (GOV - total food sold on the platform) with Revenue (the platform's take cut): GOV might be $10 million annually while Revenue is only $1.5–2.5 million depending on take rate.
Variable costs are dominated by courier payouts ($7.50 per order at opening, declining as order density increases and batching improves), payment processing (2.2% of GOV), and insurance. Operating expenses include sales & marketing (aggressive discounts to acquire users, plus brand advertising), R&D (app dev and algorithms), and G&A. The model shows that the contribution margin (revenue minus courier payouts and processing) is thin (5–15% of revenue) because delivery logistics are inherently expensive. Profitability requires advertising revenue growth (high-margin, near 100% GM) and reduced consumer discounts as network effects kick in.
Cash conversion is favorable due to negative working capital: the platform collects from consumers immediately but remits to restaurants weekly, generating float. This template is suitable for VC and PE investors evaluating food delivery companies and marketplace executives stress-testing unit economics against competitive pricing.
What every model includes
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
What's inside the Food Delivery Unit Economics
- Order volume by restaurant type and order size distribution
- Commission take rate and delivery fees vs. cost of delivery per order
- Driver pay, insurance, vehicle, and fuel costs by zone
- Customer acquisition cost by channel: paid, organic, and restaurant promotion
- Unit economics: contribution margin per order and per customer
- Cost of delivery: driver pay, insurance, vehicle, fuel
- Customer retention and order frequency by cohort
Food Delivery Model: How Order Economics and Platform Margins Interact
This food delivery model is a 60-month operating and financial framework for a three-sided marketplace connecting consumers, restaurants, and couriers. It links cohort retention, order frequency, average order value, take rates, courier payouts, promotions, and acquisition costs, so you can trace how per-order contribution turns into platform profitability and how sensitive that path is to density and scale.
Operating Drivers That Determine the Top Line
The model builds revenue from a cohort retention triangle: each month's new active customers are tracked across twelve monthly retention rates, and the surviving balances sum to total monthly active customers.
- Those active customers order at a base frequency, which is uplifted for subscribers, and orders multiply by average order value to give gross order value.
- Restaurant commission, consumer delivery and service fees, advertising, and subscription fees each apply to a different base, so growth depends on more than order volume alone.
- This structure lets you isolate whether top-line expansion comes from acquiring more customers, retaining them longer, raising frequency, or increasing basket size.
From Gross Order Value to Net Revenue and Contribution
Revenue is not gross order value. The platform only keeps its commission and fee streams, so the implied take rate is a critical output.
- Promotions are treated as contra-revenue rather than marketing spend, which lowers net revenue and keeps consumer discounts visible in the unit economics.
- On the cost side, courier payout is modelled per order, not as a percentage of order value, with a batching factor that improves as order density increases, a surge multiplier applied to a share of orders, driver incentives, and a mix of contractor and employee arrangements. Payment processing applies to gross order value, while insurance and hosting scale with revenue.
Per-Order Margins, Customer Payback, and Cohort Value
The unit economics sheet computes contribution in three layers: CM1 after cost of revenue, CM2 after promotions, and CM3 after sales and marketing. Customer acquisition cost is based only on acquisition spend, excluding brand and promotions.
- Lifetime value uses CM2 per active customer per month, multiplied by the retention-weighted expected lifetime from the cohort curve. The resulting LTV-to-CAC ratio and CAC payback months show whether acquisition spend is recovered within a reasonable window.
- Because retention and order frequency both feed lifetime value, small changes in either can materially shift payback, which is why the model keeps them as explicit drivers.
Practical Use for Evaluating the Model
This template is for assessing whether a regional food delivery aggregator can reach positive contribution and eventually profitability under its own assumptions.
- It includes a 60-month horizon, income statement, balance sheet, cash flow, working capital, and validation checks that flag implausible take rates, gross margins, cash shortfalls, or negative contribution persisting beyond a few years.
- The public download is a values-only preview, so it shows the structure and relationships rather than live formulas.
- Use it to test how order density, retention, commission rates, and courier supply assumptions interact, not as a forecast of any specific company.
Formatted to IB standards
Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with clear input, output, and cross-sheet reference styling - brand-ready, institutional-grade, and fully auditable.
Created by ex-finance professionals
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Frequently asked
What is a food delivery unit economics model?+
A model that forecasts order volume, commission revenue, delivery costs, and customer payback to understand contribution margin per order and per customer.
What is a typical commission take rate for food delivery?+
Platform commissions range 15-30% depending on market, restaurant tier, and competition. New users and premium restaurants may receive discounted rates.
How much does delivery cost?+
Delivery cost varies by geography and density: $2-5 per order in dense urban areas, and $5-10 or more in suburban or sparse delivery zones.
What is repeat order rate?+
The percentage of customers who place a second order. Retention improves with high usage frequency, referral programs, and strong customer service.
Who uses food delivery financial models?+
Delivery platform operators, logistics investors, restaurant networks, and growth product managers use them to plan expansion and optimize unit economics.
Have more financial modelling questions? Contact us
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