By Elliot Hool, VP of Marketing at Sauce - 6.8.2026
A busy night of delivery orders can give the impression that everything is working just fine. Tickets come in steadily, the kitchen stays full and sales reports look strong, but later, the numbers tell a different story. Margins tighten and repeat orders start to fall off, often without a clear signal in top-line reporting.
What sits underneath that volume tells a different story. Commissions, discounts, packaging and labor all add up quickly, and a strong sales day can still leave less profit behind than expected. Without clear measurement, it becomes difficult to see which parts of delivery support the business and which quietly chip away at it.
To help you keep your operations consistent, here are Four KPIs that show the truth behind delivery performance.
Direct-order share
Direct-order share tracks how much delivery volume comes through channels a restaurant controls, such as its own site or app, compared with third-party marketplaces.
Marketplace apps still play a role in discovery with many restaurants relying on them to reach new customers. The issue shows up later, when repeat guests continue ordering through those same channels. Each order carries a higher cost, even though the relationship already exists.
A rising direct-order share usually signals stronger customer retention and better control over margins. A flat or declining share often points to growing dependence on marketplaces, where restaurants give up both revenue and customer data.
Small adjustments can move this metric over time. Clear prompts to order direct or a simple follow-up after a purchase often can change behavior without reducing demand.
Repeat-order rate
Tracking how many delivery customers reorder within a set window, such as 30 or 60 days, gives a better view of customer experience than top-line sales. High repeat rates often reflect consistent food quality and a smooth and reliable ordering process.
Low repeat rates tend to point to friction somewhere in the experience. Late deliveries or missing items can push customers to try another option next time. Restaurants with a steady base of returning customers can plan staffing and inventory with more confidence. When most orders come from first-time buyers, demand becomes harder to maintain without continued spend.
Promo dependency
If you need help filling slow periods or introducing new menu items, try offering promotions, but be careful. Many can fall into a discount trap where demand is only being driven because of cheap prices and not because of quality product or experience.
Promo dependency measures how often an order requires an incentive to convert. A high dependency rate means customers expect a deal before placing an order. Removing those incentives can lead to sudden drops in volume. Discount-heavy strategies also compress margins, because while order counts may rise, profit per order can often fall once promotions stack with commissions and fees.
Operators who monitor promo dependency can test demand without incentives and refine how and when offers are used. Targeted promotions tied to specific times or customer groups often perform better than broad discounts across every order.
Profit per delivery order
Profit per delivery order brings all costs into one view. Food, labor, packaging, payment processing and commissions all factor into the final number.
Many restaurants track average ticket size but stop short of calculating contribution at the order level, making it difficult to see which orders actually support the business.
Order-level data often reveals patterns that aren’t obvious at a glance. Certain menu items may carry higher packaging costs or lead to more refunds. Some delivery zones may take longer to serve, reducing efficiency, and marketplace orders may generate less profit than direct ones, even when the ticket size looks similar.
Introducing small improvements like adjusting the price, refining the menu for delivery or tightening delivery areas can improve contribution without reducing demand.
What operators see when they track all four
Each KPI tells part of the story, and together, they show how delivery performs over time. One restaurant may post strong sales while leaning heavily on promotions and one-time customers. Another may grow more slowly while increasing repeat orders and improving profit per order.
Delivery continues to play a larger role in restaurant revenue, but it demands closer attention than it did in the past. Clear measurements can help catch issues like a drop in repeat orders or spike in promo dependencies that can show up before larger financial problems surface.
Operators who monitor direct-order share, repeat behavior, promo usage and order-level profit gain a clearer picture of performance and can provide better decisions on pricing and customer engagement. Over time, that visibility separates delivery programs that simply generate volume from those that hold up as a reliable part of the business.
Elliot Hool is the VP of Marketing at Sauce, where he works to revolutionize the restaurant delivery business, one food order at a time. He’s a hands on and passionate marketing leader with proven results successfully packaging, launching and scaling startups on the international stage. Sauce is a first-party restaurant AI, delivery, ordering and retention platform that enables successful independent restaurants and chains to own their online presence, online orders and delivery commission-free. Sauce provides a cost-effective, end-to-end AI & delivery solution that maximizes restaurant profitability and customer loyalty. Sauce operates throughout the U.S. from New York and Florida, as well as other major markets, and is helping restaurants take back control of their brand, data, and revenue.
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