Booking Analytics
Analyze booking trends, patterns, and status breakdowns.
Overview
Booking analytics help you understand demand patterns and optimize your operations. Access from Dashboard > Reports > Bookings.
Summary Metrics
The top of the report displays key booking indicators for the selected date range:
| Metric | Description |
|---|---|
| Total Bookings | Total number of bookings in the period |
| Confirmed Bookings | Bookings with confirmed status |
| Cancelled Bookings | Bookings that were cancelled |
| Pending Bookings | Bookings awaiting confirmation |
| Conversion Rate | Percentage of initiated bookings that converted to confirmed |
| Cancellation Rate | Percentage of bookings that were cancelled |
| Average Lead Time | Average number of days between when a booking is made and the service date |
| Repeat Customer Rate | Percentage of bookings from returning customers |
Booking Volume
Track total bookings over time with a multi-series line chart that overlays:
- Total bookings per period (blue)
- Confirmed bookings per period (green)
- Cancelled bookings per period (red)
Use the Group by filter to view trends by day, week, or month. This view helps you identify growth patterns, seasonal demand shifts, and the impact of marketing campaigns.
Status Breakdown
A pie chart showing the distribution of bookings across all statuses:
- Each status segment displays the count and percentage of total bookings
- Color-coded for quick visual identification
- Statuses include: confirmed, completed, cancelled, pending, and any custom statuses
Booking Sources
Understand where your bookings originate:
- Breakdown by source (website, manual entry, API, third-party integrations)
- Each source shows booking count, percentage of total, and color coding
- Helps you evaluate which acquisition channels drive the most volume
Popular Time Slots
Identify which times of day are most popular:
- Each time slot shows booking count and percentage of total bookings
- Use this data to optimize scheduling windows, ensure adequate staffing during peak hours, and consider premium pricing for high-demand slots
Booking Lead Time
Analyze how far in advance customers book:
- Bookings are grouped into lead time ranges (e.g., "0-7 days", "8-14 days", "15-30 days", "31+ days")
- Each range shows booking count, percentage, and average revenue per booking
- Short lead times may indicate walk-in demand; long lead times suggest planned events or group bookings
Day-of-Week Analysis
A detailed breakdown of booking patterns by day of the week:
| Data Point | Description |
|---|---|
| Day of week | Monday through Sunday |
| Booking count | Total bookings on that day |
| Revenue | Total revenue generated on that day |
| Average order value | Revenue per booking for that day |
| Peak day flag | Indicates whether this is one of your highest-volume days |
Use this data to adjust pricing (premium on peak days, discounts on slow days), plan staffing schedules, and target marketing for underperforming days.
Filters
The booking analytics report supports the full set of common filters:
- Date range — start and end dates
- Activities — narrow to bookings for specific activities
- Equipment — narrow to bookings that include specific equipment
- Sources — filter by booking source
- Statuses — filter by specific booking statuses
- Min / Max amount — filter by booking dollar amount
- Group by — aggregate time-series data by
day,week, ormonth