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Money & sales

Sales per available capacity-hour

How much each available person-hour of room earned: net sales in your open window ÷ (confirmed capacity × scheduled hours). Size-independent, so a 90-cap room and a 400-cap room can be read side by side.

Group · MoneySingle venue · Performance › Sales
Every source on this page was found and then independently re-verified by a separate check that fetched it. 4 verified references below — each links straight to the original so you can confirm it yourself.

What it is

Sales per available capacity-hour is the money a venue earned for every hour that every place in the room was available to be sold. It is your net sales during the scheduled service window, divided by your confirmed operating capacity multiplied by the hours you were open.

The point of the denominator is fairness across size and length of night. Two venues can ring the same total and be nothing alike: one held 90 people for four hours, the other 400 for ten. Dividing by available capacity-hours turns both into the same unit — earnings per available person-hour — so you can compare a small room and a large one, or a short night and a long one, on equal terms.

How to use it at your venue

Operators tend to read this the way its academic parent was designed to be read: not as a scoreboard, but as a diagnostic for when and where a room is under-earning against the hours it is actually staffed and open.[2] The most grounded use is comparing a venue against itself across nights and dayparts — a Friday against its recent Fridays, an early window against a late one — and asking which hours dilute the average.

The revenue-management literature points at two levers when a window earns thinly: pricing (cover, minimum spend, deal timing) and duration / pacing (how long a group holds a spot, how the door is paced against real capacity).[2] Because the metric separates "were we full" from "did we earn well while open," a low value points you at the hours to look at rather than at the night as a whole.

How to read it

Higher means denser earning per available person-hour — not automatically "better." Format, programming and price point legitimately differ between rooms, so a wine bar and a nightclub will sit at different levels for honest reasons. Read the trend within one venue, and read gaps between your own venues as questions, not verdicts.

What it doesn't mean

⚠ What it can't tell you

It does not say a value is good or bad, why two venues differ, or what to change. And it says nothing about how full the room actually was — that needs calibrated occupancy, which is a separate, gated capability. A higher number is not a healthier business; it is a denser one.

How it's calculated

Computed once on RollCall's servers when a night finalises complete, then frozen — screens display the stored figure and nothing recalculates it. If a night's figures are later corrected, its value is withdrawn rather than shown in two versions. Values are never added into a group total.

The exact method
sales_per_capacity_hour = net_sales_in_window ÷ (confirmed_capacity × scheduled_hours)

The numerator is net sales — item prices after discounts, before tax, tips excluded — restricted to orders whose timestamp falls inside the scheduled open→close window; orders before open or after close are excluded and counted separately. Channel rule: orders the POS classified as takeaway, delivery, drive-through or shipping are left out; orders it did not classify stay in, under RollCall's standing bar-tab rule, so the figure is the room plus any unidentified trade — the channel share is named alongside it. The denominator is team-confirmed operating capacity × the scheduled hours of the window. A night only produces a value if it carries the window-alignment proof and a team-confirmed capacity basis; unconfirmed capacity, missing hours, or a night computed before this proof existed are named exclusions, never silently absorbed.

The research behind it

Two venues doing the same total sales aren't equally efficient if one only had capacity open for 4 hours and the other for 10 — the real question is how much a venue earns for every hour of every seat/spot it makes available, not just whether the room looked full. This is the same logic hotels use for RevPAR, adapted for restaurants and bars by Cornell's Sheryl Kimes in the late 1990s specifically because seats (unlike hotel rooms) get resold multiple times in a single night.

  1. Restaurant Revenue Management ✓ verified
    Sheryl E. Kimes, Richard B. Chase, Sunmee Choi, Philip Y. Lee, Elizabeth N. Ngonzi · Cornell Hotel and Restaurant Administration Quarterly · 1998 (Vol. 39, No. 3, pp. 22-31)
    Read the source ↗
  2. Implementing Restaurant Revenue Management: A Five-Step Approach ✓ verified
    Sheryl E. Kimes · Cornell Hotel and Restaurant Administration Quarterly · 1999 (Vol. 40, No. 3, pp. 16-21)
    Read the source ↗
  3. New Performance Indicators for Restaurant Revenue Management: ProPASH and ProPASM ✓ verified
    Cindy Yoonjoung Heo · International Journal of Hospitality Management · 2017 (Vol. 61, pp. 1-3)
    Read the source ↗
  4. RevPASH ✓ verified
    HSMAI Academy (Hospitality Sales & Marketing Association International) · HSMAI Academy Glossary (web glossary entry, non-primary source) · undated (page metadata shows last-modified Dec 30, 2025)
    Read the source ↗

Confidence & caveats

The arithmetic is exact on proven inputs, so there is no estimate or band here — but "exact" is not "judged." The figure carries no quality verdict, no target, and no group total. "Team-confirmed capacity" means a member of your team confirmed the number; it is not an external or legal-capacity certification.