Understanding Customer Analytics
Aggregate guest behavior and a sortable, searchable list of customers with arrivals, no-shows, and reliability rates.
Video tutorial coming soon
Overview
Open Analytics, then Customers. The shared 7d, 30d, or 90d period applies. Summary cards show total customers with a breakdown of registered accounts versus walk-in or unregistered synthetic profiles, new customers in the period, average show-up rate, and average on-time rate. Below, a search field filters the table by name or email. The table lists each customer with tier, arrivals (seated bookings), no-shows, show-up rate, on-time rate, and last booking date; registered versus walk-in appears under the name. Rows that link to a saved customer open the Customers area with that guest selected when you click. If there is no data yet, the empty state explains that information appears as bookings are completed. Standard plan hides Analytics; Owner and Admin only.
Step-by-Step Instructions
Open Customer Analytics
In Analytics, choose Customers.
Set the period
Pick 7d, 30d, or 90d so summary rates align with other analytics pages.
Read the summary cards
Check total customers and the registered versus walk-in split, new customers in the period, and average show-up and on-time performance.
Search the list
Use the search box to find a guest by name or email when the list is long.
Review row metrics
Compare tier, arrivals, no-shows, show-up rate, on-time rate, and last booking to spot reliability issues or VIPs.
Tips & Best Practices
Act on persistent low show-up
Guests with repeated no-shows may need policy or tier updates in the Customers area.
Combine with Bookings analytics
Venue-wide cancellation and no-show rates provide context for individual show-up columns.