Check-In Analytics

This article provides comprehensive analytics regarding the event's check-in activities.

Admin Panel Settings: Onsite Check-In → Check-In Analytics

The time of check-in and check-out is according to the time zone of the event.

Registration

The registration Pie Chart illustrates registration details both before and during the event days. Organizers can filter registration data based on user categories.

For "Event start," we refer to the date and time specified in the "Date (from)" field under admin/general/edit. The chart should only display the date.

Even if the visitor registration is turned off in module management, the registration-related chart remains accessible.

Total Check-In/Out

This bar graph shows the details of the users who have checked in/out from the event. Each bar is segmented to display both the number of check-ins and check-outs. When hovering over a bar, a tooltip appears, providing details on the count of check-ins and check-outs for that specific bar, along with the total number of check-ins and check-outs.

The data for this graph can be filtered using the filter option available

1. Displayed by: The check-in/out details can be viewed on a daily basis or hourly basis.

   1. Daily Basis: The bar graph shows only those days where the check-in/out activity has happened, in case of no activity that particular date is not displayed in the graph

   2. Hourly Basis: It displays the data starting from the initial check-in action to the final one for the specified day. When filtering data on an hourly basis, organizers can also select the date. The bars are plotted at one-hour intervals. For example, if the first check-in occurs at 8 am and the last one at 5 pm, the graph will include all hours from 8 am to 5 pm.

Use Case

• If we select different filters, such as buyers from the Users filter, the time range will remain consistent from 7 am to 5 pm, irrespective of the initial and final check-in times for buyers.

• If there is a first check-in at 7:30 am and the last at 19:30, the time range shown on chart will be from 7 am till 19.

• Hours with no check-ins, are still depict them on the graph. The tooltip at those times will indicate their emptiness by displaying zero values.

2. Activity: Organizers can filter the data based on the activity, allowing them to opt to display only Check-Ins, Check-Outs, or both actions on the graph.

3. Zones: Here in organiser can filter the data of Check-In/Out activity based on the zone created, helping the organiser to know which zone had how many check-ins. Multiple Zones can be selected at the same time

4. Users: The Check-In/Out data can also be filtered based on the user categories and roles

Registration v/s Check-In

The pie chart presents the total registration count, indicating how many registered users have checked in at least once and how many have not checked in at all. The data in this pie chart can be filtered based on user categories and roles.

Heat Map

This graph highlights which zones were more loaded at some intervals. This allows the organizer to react to situations when some zone is overloaded during the event.

There are 10 colour gradations ranging from lighter to darker. They represent a gradation from the maximum value with a 10% step from 0% to 100% (0-10%, 10-20%, ..., 90-100%). The maximum value on the graph for the chosen filters and view is considered as 100%, making it the darkest shade. All other bars are coloured based on the range in which they fall.

When hovering over any of the blocks, the organiser will see information about the total number of check-ins, check-outs, and the total (these metric changes based on the filters selected), along with the date and time stamp, and the name of the zone to which the block belongs.

For example: The Organizer choose to view data based on some filters. Suppose the maximum value (total) on the graph for this condition is 400. So this would be 100% and the darkest one. The other value is 300 - so 300/400*100%=75%. It lies in the range from 70 to 80% so it would be the 8th darkest color and so on. If filters are applied, a zone with a 100% value is determined based on the highest total number that we have in this filter

This graph has the same filters as Check-In/Out graph

Total check-ins/outs by Zone (top zones)

This section displays information about the top 5 zones where the highest number of check-ins were recorded.

Check-in zones are ranked solely based on the number of check-ins. The number of check-outs serves only an informational purpose.