Every delivery platform gives you a dashboard. Most operators open it, look at their total orders and revenue, and close it. The metrics that actually tell you what is happening with your business — and what to fix — are sitting right there, largely unread.
This post is a plain-language guide to every metric that matters, what it means, and what action it should drive.
Menu Conversion Rate
What it is: the percentage of customers who view your storefront and place an order.
Formula: Orders ÷ Storefront Views × 100.
What it tells you: how compelling your storefront experience is — hero image, menu architecture, pricing, photography, and overall first impression.
Benchmarks
- Below 5%: something is fundamentally broken. Check hero image first, then menu structure.
- 5–10%: below average. Systematic improvement needed.
- 10–20%: average to good.
- 20–30%: strong. Most things are working.
- 30%+: best in class.
What to do if it is low: run a storefront audit. Start with the hero image, then menu architecture, item descriptions, photography, and add-ons.
Acceptance Rate
What it is: the percentage of incoming orders you accept versus cancel or reject.
What it tells you: operational reliability. A low acceptance rate signals that orders are being turned away because of out-of-stock items, tech issues, a busy kitchen, or a tablet that is not being monitored.
Target
95%+ at all times.
What to do if it is low: identify the rejection reason, fix tablet coverage, clean up out-of-stock items, and tighten staffing during high-volume windows.
Prep Time and Avoidable Wait Time
What it is: how accurately your kitchen hits quoted prep times and how often couriers wait because the order is not ready.
What it tells you: whether the kitchen is predictable. Platforms care about consistency because late orders create bad customer experiences and lower ratings.
Red flag
If you quote 15 minutes but frequently need 30, you are not just creating courier frustration — you are creating downstream customer dissatisfaction that can hurt ratings and rank.
What to do if it is high: adjust quoted prep times, simplify complex items during rush periods, and track which categories create the most delays.
Rating, Review Volume, and Review Velocity
What it is: your average customer rating, the number of total reviews, and the pace at which new reviews come in.
What it tells you: trust, quality control, and platform activity. A 4.8 rating with 40 old reviews is not the same as a 4.7 rating with 300 reviews and fresh activity every week.
Targets
- Rating: 4.5+ minimum, 4.7+ ideal.
- Review velocity: at least 5 new reviews per week for an active storefront.
- Negative review response time: within 24–48 hours.
What to do if it is weak: categorize 1–2 star reviews, fix the top recurring issue, and build a review request system through in-bag cards, pickup prompts, and follow-up where possible.
AOV, Payout, and Blended Cost Per Order
Average order value: total sales ÷ total orders. This tells you whether menu structure, bundles, add-ons, and pricing are encouraging customers to build bigger carts.
Payout ratio: payout ÷ gross sales. This tells you how much of your platform revenue you are actually keeping after commissions, fees, and promotional costs.
Blended cost per order: total marketing and promo costs ÷ total orders. This tells you whether growth is profitable or merely expensive.
Healthy direction
You want AOV rising, payout ratio staying stable or improving, and cost per order staying low enough that your promotional growth does not erase contribution margin.
What to do if cost per order is high: break performance down by campaign. Pause campaigns above $10 CPO, protect campaigns below $5 CPO, and move budget toward the strongest performers.
The Weekly Reporting Rhythm
These metrics are only useful if you review them consistently. A Monday morning 20-minute review of the prior week’s numbers — across all platforms — is the habit that separates operators who improve continuously from those who react to problems only after they have compounded.
Build a simple tracking sheet: one row per platform per week, with columns for conversion rate, orders, sales, AOV, payout ratio, promo redemptions, ad spend, cost per order, rating, review count, and key actions for the next week.
Why this works
After 4–6 weeks, patterns become obvious. After 12 weeks, you have a real performance baseline that makes every optimization decision easier and more confident.
More Resources
Keep exploring practical ways to improve delivery platform performance, margin, and visibility.