How to Customize the Event Dashboard

Modified on 11 February

The Event Dashboard can be customized to show the graphs and information you want to see. This example shows “Quick Cards” at the top showing Registrations, Tickets, Transactions, and Donations. These can all be customized similarly to the Race and Nonprofit Dashboards so they show the data you want to see.

You can customize your graphs, cards, and charts from the Dashboard tab. Select Customize on the right side of your screen:

Now you can rearrange, edit, add, or delete charts.

To add, click Add Charts.
To delete, click the trash can button.
To rearrange the order of the charts, click and drag them into your preferred order with the arrows on the left side.
To edit, select the Edit icon.

You can change the data shown in the chart with the first dropdown. You can also give it a custom title.

Choose what dates you want to use in displaying chart data and select the size, type of graph, and data interval (day, week, or month):

Now you have a fully customized dashboard for your ticket event.

At the top of your event dashboard page, you can also view Tickets Sold charts and an attendee Heatmap.

Tickets Sold

The Tickets Sold charts display the number of tickets sold for tickets with and without caps.

With simple tickets, this chart displays each ticket level and shows which ticket levels have caps:

Cross Ticket Caps will not show on these charts.

When advanced tickets are setup (Tickets >> Advanced Tickets), it will display the different ticket groups and which ticket groups have caps. Caps will only display on the main dashboard page if they are set at the group level.

You can click into each group to view the tickets sold at each ticket level and which tickets have caps within that group:

Multi Ticket Caps and Cross Ticket Group Caps will not display on these charts.

Heatmap

The Tickets Heatmap displays the where your attendees are coming from. It is based on number of tickets per zip code:

You can adjust the date range and click Update to view the heatmap with data from different timeframes.