Using the Detailed Tab in Analytics

How to leverage the Detailed view to dig into the details of your business performance.

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

This article will give you an overview of the new Details analytics tab in Waitwhile 3.0 Analytics and help you in the right direction for detailed content on the respective sections. We'll cover:

Let's dive right in!

Using the Overview section

The Overview section is the first thing you'll see when entering the Analytics page. It gives you a snapshot of your most important metrics.

These include the number of Bookings, Waitlisted parties, and Served parties for the chosen time period. You can also see the Average wait times, Drop-off rate, and Messages sent. For more in-depth explanation of these metrics, please see our Using the Analytics Overview article.

Understanding the charts

There are a number of different charts at your disposal in the new Analytics. Some of them may differ depending on how your business is set up and if you use the Waitlist, Bookings, or both.

Here's a quick breakdown of all the charts.

  • Traffic: A trend over time of the number of waitlisted parties, bookings, served parties, and drop-off.

  • Visit distribution: A heatmap of when visits most typically occur, broken out by weekday and hour of day.

  • Line length: A trend over time of the average length of the waitlist and the longest length of the waitlist.

  • Drop-off: A pie chart showing the breakdown of the number of dropped off visits.

  • Customer distribution: A pie chart breaking down the number of new vs returning visits.

  • Customer: A funnel chart showing the breakdown of number of people, number of parties, and the number of unique contacts within the time frame selected.

  • Visits: A bar chart summarizing visits by different breakdowns.

  • Registration details: A bar chart summarizing where customer signups happened and whether your staff or the customer themselves added them.

  • Average durations: A chart summarizing the average durations for various steps in the customer flow.

  • Wait & serve durations: A chart showing the frequency of waitlisted and served visits by different duration increments.

  • Drop-off by waitlist position: A chart showing the frequency and rate of no-shows based on how long the line was when they first entered it.

  • Customer path: A customer flow chart showing the path of visits through the steps in Waitwhile.

We unpack all these graphs in greater detail in this article - Understanding the Analytics Charts.

Leveraging the Report tables

Towards the bottom of the Analytics page, you'll find a number of reports in table format.

  • User table: A table outlining the actions taken by Waitwhile users, Guests, or the Waitwhile system.

  • Resource table(s): Tables outlining the actions associated to each resource, with separate tables for each resource category.

  • Service table(s): Tables outlining the actions associated to each service, with separate tables for each service category.

  • Custom fields table(s): Tables showing actions associated to different custom fields.

Read more about how to use the Report tables here.

Comparing performance across locations

Now you can also very easily get a better understanding of what performance looks like across different locations, and compare them side-by-side in the Visits by location chart.

For more information on location comparison, check out this article.

Visualizing and customizing information

You can very easily select what information you'd like to see on the Analytics page, and how you'd like to see it.

  • The Display settings allow you to set what information you want displayed for each visit

  • The Filter enables you to choose which specific visits you want to see.

  • The Date range picker lets you set the time frame for all graphs and tables.

In this article, we dig deeper into how you can use these tools to truly customize your Waitwhile Analytics experience.

Exporting data from the Analytics page

You can dig even deeper into your analytics data by exporting it as a CSV which can then be imported to Excel or Google Sheets. NOTE: You must be on a Business or Enterprise Plan to export detailed guest data to CSV.

Read about how to export data from the Analytics page here.

Coming soon: Report builder

Keep an eye open for updates on our brand new Report builder. We'll share all updates at

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