# Booking Analytics (/docs/reporting/bookings-analytics)



Overview [#overview]

Booking analytics help you understand demand patterns and optimize your operations. Access from **Dashboard > Reports > Bookings**.

Summary Metrics [#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 [#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 [#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 [#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 [#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 [#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 [#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 [#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`, or `month`

Related How-To Guides [#related-how-to-guides]

* [Analyze booking trends](/how-to/reporting/analyze-booking-trends)
* [View customer analytics](/how-to/reporting/view-customer-analytics)
* [Review operations metrics](/how-to/reporting/review-operations-metrics)
* [Use year-over-year reports](/how-to/reporting/use-year-over-year-reports)