ℹ️ This article covers Candu’s out-of-the-box analytics. To set up custom insights, see our Segment Integration source documentation.
Candu tracks visitor and event data for all content and every segment of users. This information can be found in the Analytics tab of any selected piece of content.
By default, Analytics are tracked once the content has been Embedded within your application and it is live to your users. If you set the time frame to a date before the content was published, the reports will simply display 0 visitors or events.
Visitor analytics show how many users have seen your content and if they are new or have returned multiple times.
Total Views: The total number of times that users in the selected Segment viewed the content during the selected time period. If a user visited your content five times during the time period, that will be counted five times. Compare this with Unique Views to determine how many visits your content has received and how frequently visitors have returned.
Unique Visitors: This is the distinct number of users from the selected Segment that have visited your content during the selected time period. If a user has visited your content five times during the time period, that will be counted only once. This allows you to determine how many individual users have seen your content.
If your content is visible to multiple Segments, you can also analyze which groups are more active or which locations of your app are more popular. You can use the 'Filter by Segment' dropdown at the top to slice the data by user segment.
Visitors Over Time:
Visitors Over Time provides a day-by-day view of visits to your content. Here you can see trends in user behavior and find anomalies, e.g., if a user visited your app multiple times in one day and spiked your “Total Views” number.
The yellow bar represents visits to the app by unique visitors each day. If a user visited your content three times across three separate days, then that user is represented in yellow each day. If that user visited three times within a single day, then that user would only be represented once in the yellow bar. All other visits are counted in “Total Views.”
The purple bar represents total views per day. This includes visitors who have previously visited the content at least once on the same day or on any previous day in the selected time frame.
The Events section tracks individual user actions within your content. Actions include things like:
Clicking a button or card
Dismissing a card
Checking off a checklist item
Completing a checklist
You can select the events that you want to appear by using the filters at the top of the Events section. Use this feature to compare similar events in your content and track high value events that you want to drive the most engagement with.
You can rename events. Click on the element in the editor, and under the Interactions tab on the right panel, you can customize the event name to track it more easily in analytics. We recommend using very clear and specific names so it is easy to find the interaction you are looking for.
Events Performed: This shows the total number of times that an event was performed by users in the selected Segment within the selected time period. You can compare this number to Unique Visitors to get a general sense of how many users perform each action. You can also see how many unique actions have been completed.
For example, if a user quickly clicked through a checklist and then went back through it more slowly, the chart would display the steps twice in total events but only once in unique events.
Users Who Performed Event (%): This describes the percentage of users in the selected Segment that visited the content and performed an event in the selected time period. The report will automatically rank each action from most to least performed so that you can see the most commonly executed events. You can also use the event filters here to refine what is displayed.
Selected Events Detail: This table shows the total number of times each selected event was performed in the time period, how many unique users performed each event in the time period, and the percentage of users that performed each event.