Meetings and events can generate up to half of total revenue at hotel properties, and the share is often higher at dedicated event venues. Despite this, most operators still judge a room’s performance by how full the diary looks, rather than how well the space is working for them.
A booked room and a well-utilised room are not the same thing. A room held for three hours on a Tuesday, when it could have run two back-to-back sessions, reads as occupied on a booking sheet. So does a 200-seat ballroom confirmed for a group of 40. Neither is performing well, and neither problem shows up unless someone is measuring the right thing.
The metrics worth tracking
Utilisation rate — the percentage of available hours a space is actively in use. Most event spaces should land between 60 and 75%. Below 50% is worth investigating; pricing, marketing, configuration, and booking policy are the usual suspects.
Attendee density — actual attendee numbers against a room’s optimal capacity. A 20-seat boardroom regularly used by groups of four points to a configuration problem, not a demand problem.
Revenue per available square metre (RevPASM) — total event revenue divided by floor area, and the clearest way to compare rooms of different sizes. A 150 square metre room generating $12,000 a month sits at $80 per square metre, a figure that’s most useful set against another room, or against itself over time.
Booking pace and lead time — how far in advance a space fills, and how that shifts by day, season, or event type. This is the data forecasting depends on.
No-show and cancellation rate — a booked-but-unused room still carries setup, staffing, and catering costs. Breaking this down by event type or client segment shows where the risk sits and what deposit policy should look like.
Why the data is usually a mess
Ask most venue managers about utilisation and you’ll get a good instinct, not a good number. Booking data lives in one system, revenue sits in another or a spreadsheet, and attendance figures, where anyone bothers to capture them, live somewhere else again. Pulling that into a single view of how one room performed over one period tends to be a manual job that happens once a quarter, if that.
In the gap, pricing and configuration decisions get made on feel. Feel is often right, but it’s slow to catch a room that was performing well eighteen months ago and has been declining since, and it doesn’t separate a room that’s busy from one that’s profitable. Fixing this starts with getting booking and revenue data into the same place, attributed to individual rooms, in a form that can be queried without a half-day of spreadsheet work.
What low utilisation is usually telling you
The room may be the wrong size for the demand it attracts. A space consistently running at 20 to 30% of seating capacity is pulling in the wrong kind of event for its layout: modular furniture, partitioning, or a shift in who you’re marketing the space to can help.
Pricing may not reflect the demand curve. A room that fills on Thursdays and sits empty on Mondays has a pricing problem as much as a demand one. Dynamic pricing by day of week, season, or lead time is standard in room revenue management and overdue for wider use in event space, where flat delegate day rates still dominate.
The booking window may be misaligned. A room that only fills two or three days out might need pricing built for late demand, or better visibility in the channels where late bookings happen. One booking out months in advance and turning business away is a different problem entirely.
The space isn’t reaching the right buyers. A well-configured boardroom sitting empty midweek may just need to get in front of the corporate planners already looking for it, through a venue marketplace, a direct sales push, or better search visibility.
What consistent tracking gives you
Forecasting gets more reliable: a room running at 70% in October and 35% in January lets staffing and pricing be planned around that pattern rather than reacting to it. Investment decisions get clearer too, since refurbishing a space or converting an underperformer is an easier call when you can compare current performance across every room in the building. And it surfaces the spaces overperforming: higher RevPASM than their size would suggest, strong repeat bookings from a particular segment, usually worth understanding and building on.
Once utilisation data is in place, pricing is often the next lever worth pulling.
iVvy’s guide to dynamic pricing for venues covers how to apply it across peak and off-peak periods without adding to your team’s workload.
