Booking analytics
Use Bookings -> Performance to understand demand, capacity, fill, and attendance for bookable events.
This article explains how to read the Bookings -> Performance KPI view for bookable events, and which question each metric helps you answer.
What this view is good for
Use Booking KPI Analytics when you need to answer questions such as:
- Which slots are filling fastest?
- Which slots are sold out and which still have room?
- Which event is creating the most confirmed demand?
- Which ticket type is selling out first?
- Where are cancellations concentrated?
- Are check-ins following the same pattern as bookings?
Where to open it
Open Bookings, then select Performance. The table can be grouped by Slot, Daily, Weekly, or Monthly.
Use Analytics for visit-to-booking conversion
If you want to estimate conversion from activity-page visits to bookings, pair this table with campaign Analytics. Use Analytics for the visit volume, then compare that with Confirmed bookings in Bookings -> Performance for the same event and time period.
Choose the right grouping
| Group by | Best for | Example |
|---|---|---|
Slot | Operational fill, sell-out, and staffing decisions | "Saturday 11:00 pottery workshop is 90% full." |
Daily | Overall demand by day | "Saturday brings twice as many confirmed bookings as Friday." |
Weekly | Recurring patterns across a longer run | "Week 3 had more cancellations than Week 2." |
Monthly | Executive reporting and campaign summaries | "November generated the most confirmed event demand." |
What each metric tells you
| Column | What it answers | How to read it |
|---|---|---|
Event Title | Which event is this row about? | Use it when one campaign contains several events. |
Slot / Date | Which period is being measured? | Slot shows the scheduled session. Other groupings roll the same data up by day, week, or month. |
Total Tickets | How much capacity was available? | Shown in Slot view only. +oo means the slot has unlimited capacity. |
Confirmed | How many tickets were successfully booked? | Use this as your main demand number. |
Cancelled | How many confirmed tickets were later cancelled? | High numbers can point to weak reminders, poor timing, or participant uncertainty. |
Check-ins | How many tickets were actually checked in? | Best read after the event starts or finishes. |
Booking Rate | How full was the slot? | Shown in Slot view only. If capacity is fixed, 100% usually means the slot is sold out. If capacity is unlimited, OmniLab shows - instead of a percentage. |
Check-in Rate | How much confirmed demand turned into arrivals? | Use it to compare bookings with real attendance. |
Use filters to narrow the answer
- The
Eventfilter appears when the campaign contains more than one event. - After you choose a single event, the
Ticket Typefilter lets you compare adult/child, VIP/general admission, or any other ticket mix inside that event. Download CSVexports the view exactly as filtered and grouped, which is useful when operations, venue staff, and reporting teams all need the same cut of data.
Example: reading a busy weekend
A Saturday slot shows:
Total Tickets:20Confirmed:18Cancelled:3Check-ins:15Booking Rate:90%Check-in Rate:83.33%
This tells you the slot sold well, but not every confirmed booking turned into an arrival. If the same pattern repeats across similar slots, review reminder timing, arrival instructions, or slot choice before the next event.
Related
Check-in rates & no-shows
Turn attendance data into a practical no-show read for each slot, day, week, or month.
Exports for events
Export the current event view or jump to the canonical platform export guide.
Exports & reports
See every current export surface across Analytics, Participants, Bookings, and more.