Restaurant Analytics Metrics That Actually Matter

AOV is the total revenue divided by the number of orders in a given period. It is the clearest signal of how well your menu engineering and upsell prompts are working. A rising AOV with stable or growing cover count means you are generating more revenue from the same customer flow. Track AOV by daypart (breakfast/lunch/dinner) rather than as a single daily number — you may find that dinner AOV is high but lunch AOV shows untapped potential.

Table turnover rate is the number of times a table is occupied per service period. Calculated as total covers divided by available seat count divided by period length. In a 50-seat restaurant running a 4-hour dinner service, 3 turns per table is the benchmark in a well-optimised operation. Your QRCrave data shows average table duration per order session — if tables consistently run over your target, that's the variable to investigate.

This shows what percentage of all orders included a specific menu item. A star item should have a popularity index above your category average. If an item you believe is a star has a low popularity index, it may be suffering from poor placement, a weak description, or a price point that feels off relative to alternatives. Use this to inform menu layout changes each month.

The time from order placement to the kitchen marking an item as ready. This is your kitchen throughput metric. A rising order-to-ready time during peak hours signals prep capacity problems — too few chefs on station, slow equipment, or a menu that is too complex for current staffing. Broken down by category (hot, cold, drinks), it helps identify the specific station causing the bottleneck.

If you are using table-linked QR codes tied to guest accounts or loyalty, QRCrave can track whether the same guest returns within a rolling 60 or 90-day window. Repeat visit rate is the metric most directly correlated with long-term revenue stability. A restaurant with 40% of monthly revenue from repeat guests is far more defensible than one dependent on new acquisition. Track this monthly and set an improvement target.

Aggregate your guest satisfaction scores by shift rather than by day. A restaurant that scores 4.6 on weekday lunches and 3.8 on weekend evenings is telling you something specific: your weekend evening operation has a quality gap relative to your baseline. Drill into the text feedback for those sessions and you will usually find a consistent theme worth addressing.