Analytics & Reports
Understanding your booking metrics
The Analytics page gives you insights into booking trends, capacity utilisation, and customer behaviour.
Location: Sidebar > Analytics
Date Range Selection
Choose the period you want to analyse:
Quick Presets
- 7 days — Last week snapshot
- 14 days — Two-week trend
- 30 days — Monthly overview
- 90 days — Quarterly view
Report Periods
- This Month / Last Month
- This Quarter / Last Quarter
- This Year / Last Year
Resource Filter
Filter all metrics to a specific resource, or view all resources combined.
KPI Cards
Six key performance indicators shown at the top:
Total Bookings
The number of confirmed bookings in the period. Includes customer bookings and staff blocks.
Total Participants
The sum of all party sizes — how many individual people were booked. A booking for a family of 4 counts as 4 participants.
Occupancy Rate
Formula: Consumed capacity / Total available capacity
How full your timeslots are on average. An occupancy rate of 75% means three-quarters of your available slots are being used.
- Below 50% — Room to grow. Consider marketing or reducing capacity to create urgency.
- 50–80% — Healthy utilisation.
- Above 80% — Great demand. Consider adding capacity or raising prices.
Check-in Rate
Formula: Checked-in bookings / Total confirmed bookings
What percentage of booked customers actually showed up. Low check-in rates might indicate:
- No-show problems (consider stronger cancellation policies)
- Customers booking “just in case” (consider booking limits)
- Staff not consistently checking people in
Cancellation Rate
Formula: Cancelled bookings / Total bookings (including cancelled)
How many bookings were cancelled. Some cancellation is normal, but high rates might suggest:
- Customers booking too far in advance
- Pricing issues
- Weather sensitivity (outdoor venues)
Hold Conversion Rate
Formula: Holds that became confirmed bookings / Total holds created
How many customers who started the booking process actually completed it. Low conversion might indicate:
- Checkout flow issues
- Price shock at the payment step
- Technical problems with the widget
Charts
Bookings Over Time
Area chart showing daily booking and participant counts. Use this to spot:
- Day-of-week patterns (weekends vs. weekdays)
- Growth trends
- Seasonal changes
Capacity Utilisation
Area chart comparing available capacity vs. consumed capacity over time. The gap between the lines shows unused capacity.
Member vs. Public
Percentage breakdown of member pool vs. public pool bookings. Helps you understand:
- Whether member capacity allocation is right-sized
- Trends in membership adoption
- If pool release is working effectively
By Day of Week
Bar chart showing booking distribution across weekdays. Identifies:
- Your busiest days
- Under-utilised days (opportunity for promotions)
- Staffing alignment
Peak Hours
Bar chart showing occupancy percentage by hour of day. Identifies:
- Your peak hours (consider premium pricing)
- Off-peak hours (consider discounts)
- Staffing needs throughout the day
Tables
By Resource
Breakdown per resource showing:
- Booking count
- Rider count
- Total capacity (sum of all timeslot capacity)
- Consumed capacity
- Occupancy rate %
Daily Breakdown by Resource
Detailed matrix showing daily stats per resource. Useful for granular analysis and spotting day-level issues.
CSV Export
Export your data for further analysis. Available exports:
| Export | Contents |
|---|---|
| Summary | KPI overview for the period |
| Daily | Day-by-day metrics |
| By Resource | Resource-level breakdown |
| Detailed | Individual booking records |
| Full Report | All of the above combined |
Exports are CSV format, compatible with Excel, Google Sheets, and other spreadsheet tools.
Tips
- Check weekly: Review the 7-day view at least once a week to spot trends
- Compare periods: Use “This Month vs Last Month” to track growth
- Watch occupancy: If consistently above 80%, consider expanding capacity
- Monitor conversion: A drop in hold conversion rate often indicates a technical issue
- Export monthly: Keep CSV exports for year-over-year comparisons
- Filter by resource: If you have multiple resources, analyse each one separately — they may have very different patterns
What’s Next?
- Managing Bookings — Dive into individual bookings
- Settings Reference — Adjust policies based on your analytics insights