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What are the different event analytics that is provided in the Hubilo dashboard?
What are the different event analytics that is provided in the Hubilo dashboard?

Types of data analytics available on the dashboard.

Ayush Bhardwaj avatar
Written by Ayush Bhardwaj
Updated over a week ago

Hubilo provides various event analytics which are as follows:

1. People Analytics:

The Hubilo Dashboard offers organizers a centralized location to access attendance numbers and data for various event formats. The dashboard provides unique counts of people registered, with virtual registration as the default option, and tracks attendance for each group session and day of the event which will help them to track the success of their events more effectively.

2. Feed Analytics:

In this analytics, we provide various charts regarding day-wise total no. of posts by people on the activity feed, type of posts, number of posts, likes, comments, and reported posts.

3. Networking Analytics:

Here you will get basic statistics of the industry of your attendees, their interests, what they are looking for, and what all they have to offer. Also the statistics on one-to-one meetings, lounge meetings, profile views, and actions are taken in each meeting.

4. Speakers Analytics: Here you will be able to get data on your speaker's ratings, categories, profile views, speaker wise analytics.

5. Session Analytics:

Review total number of sessions your event had, total tracks, total views, replays, average rating, unique views, session join and leave time, average watch time, most watched sessions etc.

Average watch time is shown at the attendee, session, and event level (both live and on-demand sessions). In addition, for both hybrid and in-person events, the session check-in data will be readily accessible under the corresponding session's analytics tab.

Click here to learn more about session analytics.

How do Join and Leave time work?

  • When the user clicks the join session button it captures Join time.

  • Leave time will be captured whenever the user leaves the session detailed page, if they have closed the tab, closed the browser or refresh the browser, the system shut down, in pip mode select the cross button, and log out.

  • Leave time captures when navigating to a different tab.

How does Watch time work?

  • Watch time is the duration for which the user watches the streaming of the session

  • Eg. If the session is from 5-6 pm and if the user has watched the session from 5 pm - 5.55 pm then the session watch time will be 55min for that user.

Session Pause :

If the user stayed till the session ended but did not click play, then join/leave will show the entire duration but the watch time will be way less. As the Watch time will not be counted in case if the session has been paused. It will only comprise of the time the session is played.

Note :

Join/Leave time and Watch time are independent of each other which means Watch time is not the difference of Leave time and Join time.

Eg. If the session is scheduled from 5-6 pm and the user comes to the session detailed page at 4.55 pm and stays there till 5.45 pm. So his Join time will be 4.55 pm and his Leave time will be 5.45 pm. However, the Watch time will be 45 min

(i.e from 5 pm - 5.45 pm). This is the actual time the user has watched the streaming.

To download all session analytics in one zip folder > Click on the download icon

Choose your preferred sorting option > enter the email id on which export data will be sent > click on send

System mail will be sent on the email id with a Zip Folder containing all session analytics reports.

In Session wise analytics reports you will also find

  • Join time and leave time of attendees for live sessions as well as for on-demand sessions.

  • Cumulative watch time of each attendee for the live sessions and on-demand sessions.

Limitations of Join and Leave time :
A) Mobile App

  • Session Join time and Leave time are not getting captured in the case of PIP mode.

B) Web

  • Session Watch Time is not calculated for Speaker/Private Link Speaker/Host in case of HBS studio/External URL/Zoom Webinar.

  • Leave time will be captured for Speaker/Private Link Speaker/Host in case of HBS studio only if the session is left by clicking on the Leave button and will not be captured in case of Internet disconnection/tab close/browser close/Page Refresh.

  • Only Join time will be captured for Session Types: Other(External URL)/Zoom Webinar

  • If the same user joins LIVE and ON-Demand sessions then the join and leave time of the on-demand session will be captured in LIVE Report as well and Session watch time in Live and Unique report will be the same.

  • In case if an attendee leaves the session after session end time + 30 minutes, leave time will not be captured for that attendee.


1) We are not computing the Average watch time in the case of the mobile apps.

2) In case if an attendee has watched both the live and on-demand session, the cumulative watch time will be shown for the live and on-demand session for that attendee.

6. Virtual Booth Analytics:

Here you get exact data on the number of virtual booths, team members, premium booths, total connections, total rating, etc. Plus you get data regarding the number of product views, video views, CTA clicks, files downloaded, and virtual booth category.

7. Room Analytics:

Here we provide you with the complete data of rooms which include the total number of rooms, the total number of sessions, room bifurcation as per room nature( Single session/Multiple), total spectators, and room summary.

8. Multi-event Analytics

Multi-event analytics provide real-time statistical data for all events, empowering organizers to make better decisions.

The Event-wise table displays the number of check-ins per event, while the detailed Excel report includes check-in numbers for each event. Note that check-in numbers will only be available post-event completion.

In the analytics dashboard, total check-ins for all events are displayed as "Checked-in people", with a breakdown of total check-ins in sessions and total leads scanned in booths. Overall, multi-event analytics provide key insights.

To access this feature, simply click on the "Analytics" button at the top

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