The 5 restaurant metrics that actually predict performance — and how to track them

Every restaurant owner knows their monthly revenue. Very few know their RevPASH. The difference between these two levels of measurement is the difference between knowing what happened and knowing what will happen next.

1. RevPASH — Revenue Per Available Seat Hour

RevPASH = Total revenue ÷ (number of seats × hours open). A 60-seat restaurant open from 12pm to 11pm (11 hours) has 660 available seat hours per day. If it generates ₹66,000 in revenue that day, its RevPASH is ₹100. This normalises for seat count and hours — you can finally compare Monday against Friday, or your 60-seat venue against a competitor's 120-seat venue.

2. AOV trend, not AOV point

Your average order value this week is less useful than your AOV trend over 8 weeks. A ₹620 AOV today, down from ₹680 six weeks ago, is a warning signal. It means guests are either ordering fewer items, choosing lower-priced items, or a popular high-margin item has dropped off. The trend tells you to investigate; the point does not.

3. Beverage attach rate

Beverage attach rate = orders with at least one beverage ÷ total orders. Indian restaurant benchmarks: 35–45% at casual dining, 55–70% at premium dining, 80%+ at venues with strong cocktail programs. If your attach rate is below benchmark, the lever is usually the ordering flow (beverages buried in the menu) or staff behaviour (not suggesting a drink at table).

4. Order error rate

Order error rate = orders with any modification, remake, or complaint ÷ total orders. Track this from two sources: KOT reprints or MODIFY tickets (in-kitchen errors) and guest complaints or refunds (service errors). Best-in-class restaurants run below 1.5%. Above 4%, you have a training, menu design, or modifier-flow problem that is costing real margin.

5. Guest repeat rate

Guest repeat rate = guests with 2+ visits in 90 days ÷ total unique guests in 90 days. This is your most lagging indicator (slow to move) but your most predictive (high repeat rate is the strongest predictor of revenue growth). Track it monthly. Any venue above 30% repeat rate in a 90-day window is building a durable business.

Building the dashboard

You do not need a business intelligence tool. You need five cells in a spreadsheet, updated weekly from your POS export. RevPASH, AOV trend (8-week rolling), beverage attach rate, order error rate, and repeat guest rate. Print it. Put it in the manager meeting. Discuss only these five numbers. Everything else is noise until these five are healthy.