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Analytics: Visits

Descriptions of the metrics and charts in the Visits tab in Analytics

Jakob Larsson Stern avatar
Written by Jakob Larsson Stern
Updated over a week ago

The Visits tab in Analytics includes data related to your visits and customers.

Detailed charts

The detailed charts in the Visits tab give you deeper insights into key areas of your business, including traffic over time, new vs returning customers, total customers and parties, and visits distribution.

Traffic

The Traffic chart visualizes a trend over time of the number of waitlisted parties, bookings, served parties, and dropoff.

The Traffic chart visualizes a trend over time of the number of waitlisted parties, bookings, served parties, and dropoff.

The dropdown list at the top right of the chart allows you to select different time breakouts:

  • Date (default): The total for each metric by day across the time range selected.

  • Hour of day: The average for each metric by hour of day across the time range selected.

  • Day of week: The average for each metric by day of week across the time range selected.

You can also access the Traffic chart from the Overview tab.

Customer distribution

Customer distribution is visualized by a pie chart breaking down the number of new vs returning visits. Visits are counted as returning if a visit used the same phone number, email, or external customer id as a previous visit in within the Waitwhile account (across locations).

Image depicting customer distribution.

Customers

The Customer funnel chart shows the breakdown of number of people, number of parties, and the number of unique contacts within the time frame selected.

Image depicting customers analytics.
  • Total people: The summation of party size across all visits created in the time period selected.

  • Total parties: The total number of visits started. Bookings count based on the date of the appointment, not the date of creation. Direct to served and direct to completed visits are also accounted for in this metric.

  • Unique parties: The unique count of customers with created visits in the time period selected. Example: If Guest1 has two separate visits in November, the November report will count them as 1 unique party. This number does not cleanly sum with any other number as Guest 1 could exist in different visit types or days.

Visits distribution

Visit distribution is a heatmap of when visits most typically occur, broken out by weekday and hour of day.

Image depicting Visit distribution.

The dropdown list in the top right corner lets you pick from several different metrics:

  • Waitlisted parties

  • Bookings

  • Served parties

  • Dropoffs

  • Avg wait duration

  • Avg serve duration

  • Avg line length

  • Max line length

For more information about the definition of these different terms, see Metrics guide and glossary.

Note: Depending on your plan type, your access to Analytics will differ.

  • Free plan: No access to Analytics.

  • Starter plan: Access to the Overview tab, ability to view data 90 days back.

  • Business plan: Access to all tabs, ability to view data 365 days back.

  • Enterprise plan: Access to all tabs, ability to view data 3 years back.

Read more about our different plans on our Pricing page.


Have additional questions or need assistance? Reach out to us via chat or at support@waitwhile.com

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