Section 7 of 12

Analytics

Charts that show you how your bookings are trending over time.

The Analytics section, accessible from Dashboard → Analytics, shows you how your restaurant's bookings are trending. The charts give you different angles on the same question: are you growing, and where are your guests coming from?

Bookings over time#

A line chart showing the number of confirmed bookings over time. Shorter ranges (up to 90 days) plot a point per day. Ranges longer than 90 days group data by month so the chart stays readable. Use this to spot growth trends, seasonal patterns, and the impact of promotions.

Insight rows

Below the chart you'll find three insight rows:

  • Total for period — absolute count of bookings.
  • vs. previous period — percentage change compared to the same length of time immediately before.
  • vs. year ago — year-on-year percentage change for the same date range.

No-shows & cancellations#

A line chart showing no-shows and cancellations over the selected period, using the same daily/monthly grouping as the bookings chart. Track this alongside bookings over time to understand your effective fulfilment rate. Insight rows for comparison against the previous period and year ago are shown below this chart too.

A rising no-show rate alongside growing bookings may indicate you need to add a cancellation policy or arrival notes reminding guests to cancel early if they can't make it.

Booking source#

A pie chart showing where your bookings originate:

  • Online — Bookings placed by guests via your public booking page.
  • Manual — Bookings you created from the dashboard (phone-in, walk-in).
  • POS — Bookings created via the external API or a connected POS system.

New vs. returning#

A doughnut chart comparing first-time guests (no prior booking under the same email) versus returning guests. A healthy mix suggests your restaurant is both attracting new diners and retaining regulars.

Guest identification is based on email address. A guest who books with different email addresses each time will appear as a new guest each time.

Bookings by time of day#

A bar chart showing the distribution of booking start times across the selected period. Use this to identify peak slots, understand where demand concentrates, and decide whether to add or remove time slots.

Practical use

If the 19:00 slot is consistently full while the 20:30 slot sits empty, consider shifting capacity or adding an 18:30 slot to capture earlier diners.

Date-range controls#

The date-range selector at the top of the Analytics page applies to all charts simultaneously.

7 days
Last 7 days, useful for weekly performance reviews.
30 days
Last 30 days, the default view. Good for month-on-month comparisons.
1 year
Last 365 days, showing full seasonal trends.
Custom
Pick any start and end date using the date inputs. Useful for reviewing a specific promotion period or event. Maximum range is 365 days.