Scheduling Analytics
Review booking performance and appointment activity.
Scheduling analytics help you understand appointment volume and booking activity.
Use analytics after you have confirmed appointment data is current. Calendar sync, booking-page visibility, payment requirements, and event-type availability can all affect the numbers.
Filter the Date Range
Open Scheduling > Analytics and set the start and end dates before reading the numbers. Date filters apply to appointment start time, so a booking only appears in the range that contains the appointment time.
Use a short range when checking a recent campaign or booking page change. Use a longer range when reviewing seasonality, team capacity, or event type demand.
When comparing two periods, use the same date range length and the same timezone. Otherwise a campaign or availability change can look better or worse than it really is.
Summary Metrics
The analytics page shows these summary cards:
- Appointments is the total appointment count in the selected range.
- Upcoming counts scheduled appointments that have not happened yet.
- Completed counts appointments marked completed.
- Conversion Rate compares completed appointments against total appointments in the selected range.
Cancelled and no-show appointments are included in the underlying analytics data, but the visible summary focuses on total, upcoming, completed, and conversion rate.
Do not compare conversion rate until appointment status cleanup is current. Appointments that were completed but not marked correctly can make the rate look lower than actual performance.
Top Event Types
Use Top Event Types to see which meeting types are getting booked most often. This helps you decide which booking pages to promote, which event types need better availability, and where your team may need more capacity.
If a top event type has many bookings but low completion, review reminders, location instructions, payment requirements, and cancellation behavior.
If an event type has few bookings, check whether the booking page is public, shared in the right place, connected to enough availability, and not blocked by payment or question requirements.
If an event type has many bookings but poor quality, review intake questions, confirmation copy, reminders, and the source page where the booking link is promoted. Volume alone does not mean the event type is working well.
What to Review Before Acting
Use scheduling analytics to review booking trends, event type performance, appointment volume, and whether availability settings are producing the expected number of bookings.
Check the date range and filters before making decisions. Low booking volume may come from a hidden booking page, limited availability, disconnected calendars, or payment requirements.
Before changing availability, open a few appointment records behind the numbers. Analytics explain the pattern, but individual appointments often show the cause: wrong owner, cancelled status, missing invite, payment issue, or reschedule.
Common Follow-Ups
- If upcoming appointments are low, review booking page visibility and shared links.
- If completed appointments are low, review reminders and no-show patterns.
- If one event type dominates, confirm the assigned team has enough available time.
- If analytics look empty, confirm appointments exist in the selected date range.
- If conversion drops, review reminder delivery, meeting location, cancellation policy, and whether customers understand what happens after booking.
Analytics Review Routine
For weekly scheduling review:
- set the date range before reading cards
- compare event types with the same period length
- open a few appointments behind unusual numbers
- check cancelled and no-show patterns
- review availability when demand is high
- update booking pages or reminders based on the findings