Analyze Booking Trends
How to use the Analytics Report to understand booking patterns, conversion rates, lead times, and peak demand periods.
The Analytics Report focuses on booking behavior rather than dollars. It answers questions like "What percentage of bookings get cancelled?", "How far in advance do customers book?", and "Which day of the week is busiest?"
Before you begin
- You need access to the Resytech Dashboard with reporting permissions.
- The report counts all bookings created in the selected date range, regardless of when the service date falls.
Steps
- In the sidebar, expand Reports and click Analytics.
- Set your Start Date and End Date. The default is the last 30 days.
- Choose a Group By option (Daily, Weekly, or Monthly) to control the trend chart granularity.
- Click Apply Filters.
Understanding the metrics
Top-level cards
| Metric | What it means |
|---|---|
| Total Bookings | Count of all bookings created in the date range, across all statuses. |
| Confirmed | Bookings with a Confirmed status. |
| Pending | Bookings awaiting confirmation or payment. |
| Conversion Rate | Percentage of bookings that reached Confirmed status out of all bookings created. A low rate may indicate friction in your booking or payment flow. |
| Cancellation Rate | Percentage of bookings that were cancelled. Compare this to your cancellation policy to see if it is effective. |
Behavioral metrics
| Metric | What it means |
|---|---|
| Average Lead Time | Average number of days between when a booking is created and when the service is scheduled. A short lead time (under 3 days) suggests walk-in or last-minute demand. A long lead time (over 14 days) suggests advance planners. |
| Repeat Customer Rate | Percentage of bookings made by customers who have booked before. A high rate means strong loyalty; a low rate means you are mostly acquiring new customers. |
| Active Booking Rate | Percentage of total bookings that are either Confirmed or Pending (not cancelled or drafted). |
Charts
- Bookings Trend -- A multi-line chart showing Total, Confirmed, and Cancelled bookings over time. The gap between Total and Confirmed lines represents non-confirmed bookings. Watch for the Cancelled line trending upward.
- Booking Status Distribution -- A pie chart showing the proportion of each status. Healthy businesses typically see Confirmed dominating.
- Booking Source Distribution -- A pie chart showing where bookings originate (online, dashboard, POS, etc.).
Tables
- Day of Week Analysis -- Shows booking count, revenue, average order value, and whether each day is a peak day. Peak days are flagged automatically. Use this to plan staffing and pricing.
- Popular Time Slots -- Ranks time slots by booking frequency. A progress bar shows relative popularity. Use this to decide where to add or remove capacity.
Interpreting the data
High cancellation rate (above 15%) Check whether cancellations cluster around specific activities using the Activity Performance Report, or review the Operations Report for cancellation lead time distribution. Weather-dependent businesses naturally see higher cancellation rates.
Short average lead time (under 2 days) Your customers are booking last-minute. Consider same-day pricing strategies or push advance booking with early-bird discounts managed through Promotions.
Low repeat customer rate (under 10%) Most of your revenue comes from first-time customers. Review the Customer Analytics Report for churn rate and consider loyalty programs.
One day dominates the week If Saturday has 3x the bookings of any other day, you may be leaving money on the table on weekdays. Consider weekday discounts or targeted marketing.
Filter options
The Analytics Report supports the same filters as the Revenue Report: date range, activity IDs, equipment IDs, sources, statuses, and amount range. See Run a Revenue Report for the full filter reference.
Tips
- Use Weekly grouping for month-long ranges. Daily granularity over 30+ days creates noisy charts. Weekly smooths the data while preserving trends.
- Cross-reference lead time with source. If dashboard bookings have short lead times and online bookings have long lead times, your walk-in customers are being entered through the dashboard (expected behavior).
- Track conversion rate after checkout changes. Any time you modify your checkout configuration, re-run this report to see if conversion improved.