Elective Learning Activity Summary
Learn all about our elective learning summary dashboard and how you can receive a summary of program activity during a specific time period.
All data is shown as an aggregate across programs. To view the progress of individual users, refer to the User Report.
Metric Definitions
Average Conversion Rate: For customers using Custom Moments with external links, you’ll see the number of users who clicked on the external link divided by the number of users who saw the Custom Moment.
Activity Opens: Counting each time a user loads an activity in their browser. Content can be opened multiple times in a 48-hour browser cookie window. Each instance will be counted.
Average Page views Per Start: The average number of distinct page views users view per activity start.
Average Time in Playlist: Visit duration is the amount of time between the first and final event timestamps within a playlist. Average Time in Playlist is the sum of all visit durations divided by the number of visits during a specific period.
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For example, say in one month you had 2 visits to your “Consumer” program. The first visit had a duration of 10 minutes and the second visit had a duration of 30 minutes in program. The Average Time in Program for “Consumer” program would be 20 minutes = (30 minutes + 10 minutes) / 2 visits.
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Please note the average time in program and conversion rate only display when there are 30 or more user visits. Bounced visits, users who enter the site and then leave, are excluded from visit counts and durations.
Average Time in Program (HH:MM:SS*): Duration of visit is the different between the visit’s 1st event and final event within a program. Average is the sum of all visit durations divided by number of visits.
Average Conversion Rate: For customers using Custom Moments with external links, you’ll see the number of users who clicked on the external link divided by the number of users who saw the Custom Moment.
Conversion % by Activity: [Total number of external link clicks]/[Total number of page visits].
Incentives Completed: The number of users that have completed all content within an incentivized playlist.
Incentive Qualifications: The total number of users who have qualified for an incentive across all playlists within a program, defined further in section C.
Program Engagement: Contents and Activities: The number of unique page visits by custom moment program, content title, and activity. The default view is to show the highest number of page visits from left to right.
Program Users: The total number of users who have visited your organization’s program(s). This includes registered users, guest users and users who have landed on a program page without engaging with the content. A user record is created during the learner’s initial visit. The user is created at the account level.
Custom Moment Engagement Dashboards

This surfaces two graphs:

This first graph shows the total number of unique visits to custom moment content. The graphs are organized by program title, content title, and activity title. All three titles are filterable parameters at the top, along with time horizons.

This second graph shows the conversion rate % of custom moments. This is calculated by [total number of external link clicks]/[total number of page visits].
NOTE: The first and second graphs align to look at the same program, content, and activity titles. They are also ordered by largest total visits to smallest total visits.
Filters
All charts can be filtered by date and program. Full-screen view may be applied along with the options to clear filters and refresh data.
Parameters
Metric Select: Drop-down and select what metric you’d like to analyze. For detailed descriptions of each metric you can select the Metric Info icon in the top right corner.
Program Engagement
High-level overview of program reach and engagement over the selected time-period.
Segment By: Select what variable you’d like to segment the metric by. Select “None” if you don’t want any segmentation.

Playlist Engagement
Select a metric and analyze user engagement across different playlists. Default is the top 6 over the last 90 days.
Content Engagement
Select a metric and analyze user engagement across different sequences. Default is the top 6 over the last 90 days.
Traffic Analysis
Select an attribute and analyze how visits to your program pages are distributed. This can be a powerful way to measure marketing campaigns and channels.
Navigation: Select the “Elective Learning Traffic” tab on the top-left of the report.
Select Attribute: You can select different attributes depending on how you want to slice your data.
Selection | What is it? | Description |
Campaign | UTM Campaign | See “UTM Parameters” below for details |
Term | UTM Term | See “UTM Parameters” below for details |
Source | UTM Source | See “UTM Parameters” below for details |
Medium | UTM Medium | See “UTM Parameters” below for details |
Browser | Client Browser | Browser used to access EVERFI. For example, Chrome, Firefox |
Landing Page | Initial URL of visit | The URL used to access your program. |
OS | Operating System | Operating System of the user. Examples: Mac OS X, Windows 10 |
Referral Source | URL prior to visit | The full path of the URL.Ex: https://www.everfi.com/marketing |
Referring Domain | Domain prior to visit | Domain from URL. Ex: everfi.com |
UTM Parameters allow you to collect marketing campaign information from the URL’s used in your ads.
As an example from Google Analytics’ documentation, if you use this URL: https://www.example.com/?utm_source=summer-mailer&utm_medium=email&utm_campaign=summer-sale
You will see “summer-mailer” in the Traffic Analysis chart when you select “Source” from “Select Attribute”.
Possible UTM values are
- utm_source: Identify the advertiser, site, publication, etc. that is sending traffic to your property, for example: google, newsletter4, billboard.
- utm_medium: The advertising or marketing medium, for example: cpc, banner, email newsletter.
- utm_campaign: The individual campaign name, slogan, promo code, etc. for a product.
- utm_term: Identify paid search keywords. If you’re manually tagging paid keyword campaigns, you should also use utm_term to specify the keyword.
- utm_content: Used to differentiate similar content, or links within the same ad. For example, if you have two call-to-action links within the same email message, you can use utm_content and set different values for each so you can tell which version is more effective.