Private Podcast Analytics

Metric Definitions:

Audience Activity:  

• Licenses – The number of podcast licenses you currently have purchased regardless of the time frame selected.
• Activated Users – The number of podcast audience members who have made use of the podcast application before the end of the time frame selected
• Time Played (Minutes) – The number of minutes your audience listened to podcast content in the selected time frame.
• Total Plays – The number of times your audience played a podcast in the selected time frame.
• New vs. Returning Users (weekly) – For each week (Monday to Sunday) in the selected time frame, this graph shows the number of first time (new) users and returning users. This does not mean that the users are “new” for the time frame, it means they are new since the podcast program launched. You can mouse over any of the bars in the graphs to see details of new, returning, and total users.
• Play Time of Day (GMT) – In the given time frame, shows the number of times your audience plays podcast content in each hour of the day (00 is midnight, and 23 is 11pm). The time of day is in GMT which means you will likely need to convert GMT into your local timezone. Future versions of the dashboard will do this conversion for you automatically. You can mouse over any of the bars of content to see the actual count of plays in that hour of the day.
• Web vs. Mobile Users (weekly) – For each week (Monday to Sunday) in the selected time frame, this graph shows the number of users that used the mobile application and/or the web application. If an audience member used both, they will be counted twice. You can mouse over any of the bars in the graphs to see details of Web, Mobile, and total users.
• Web vs. Mobile Play Time – In the given time frame, this pie chart shows how much time your audience spent playing content in the mobile application and web application. You can mouse over each piece of the pie to see the number of minutes spent listening to content in that application in addition to the percentage of time.

Content and Plays:

• Monthly Podcast Content Published (Minutes) – The number of minutes of new podcast content that was published each month in the time frame selected. You can mouse over each bar of the chart to see an exact number of minutes in that month. Note that this chart is not available in the Groups dashboard, only the top-level account dashboard because Groups restrictions on published content may change.
• Weekly Podcast Content Published (Minutes) – The number of minutes of new podcast content that was published each week (Monday to Sunday) in the time frame selected. You can mouse over the graph to see an exact number of minutes in that week. Note that this chart is not available in the Groups dashboard, only the top-level account dashboard because Groups restrictions on published content may change.
• Monthly Podcast Content Played (Minutes) – The number of minutes of podcast content consumed by your audience each month in the time frame selected. You can mouse over each bar of the chart to see an exact number of minutes in that month.
• Weekly Podcast Content Played (Minutes) – The number of minutes of podcast content consumed by your audience each week (Monday to Sunday) in the time frame selected. You can mouse over the graph to see an exact number of minutes in that month.

Audience Details:

All Users (ranked by play time) – Displays all Users in your podcast audience with details for each. The Users are ordered with those with the most play time in the given time range at the top and those with the least at the bottom. If there is more data than can be seen on the screen, press the link at the bottom of the table to “View all ### rows”. This drill-down view also allows you to sort by different columns and export the data.

• Email – The email address of a User (if available).
• Given Name – The first name of a User (if available).
• Family Name – The last name of a User (if available).
• Play Time (Mins) – The number of minutes of podcast content a User consumed in the given time range (if any).
• First Seen – The date and time that a User was first added to the podcast audience.
• Last Seen – The date and time that a User last used the podcast application.
• User ID – The unique uStudio ID for a User.
• Status – The state of this User. All available states and their meanings are listed below.
  • ACTIVATED – The User has logged into the podcast application and is using a podcast license.
  • INVITED – The User has been invited to the podcast application, but has not accepted their invitation. The User is not using a podcast license.
  • REGISTERED – The User has an entry in the uStudio podcast application, but has not logged into the podcast application and is not using a podcast license. Users may have this Status because they accepted an invitation, but did not log into the application or because an entry was made in the uStudio podcast system for the user via SCIM, but the user has not logged into the application.
  • DEACTIVATED – The User was deactivated from the podcast application by a podcast administrator or by a SCIM notification. The User is not using a podcast license.

Progress by User – Displays details about content consumed by Users in the given time range. The rows are sorted alphabetically by the User’s email address. If there is more data than can be seen on the screen, press the link at the bottom of the table to “View all ### rows”. This drill-down view also allows you to sort by different columns and export the data.

• Email – The email address of a User (if available).
• Given Name – The first name of a User (if available).
• Family Name – The last name of a User (if available).
• Show Title – The title of the Show of the Episode that was consumed.
• Episode Title – The title of the Episode that was consumed.
• Progress % – The maximum percentage through the Episode that the User consumed. Below are a few examples.
  • If a User listened to 40% of the Episode and never listened again, this value will be 40.
  • If a User listened to 40% of the Episode, then rewound and listened to the first 10% six times, this value will be 40.
  • If a User listened to 40% of the Episode, then fast-forwarded and listened to the last 10% of the Episode (90% through 100%) this value will be 100.

Plays and Engagement Analytics:

You also have the ability to view the number of plays and engagement over time across all shows and episodes.

Plays: Displays how many audience members went to listen to an episode. A view will be tracked when the player of an episode is displayed on the application. This metric will let you know how many users have clicked the play button. A few things to note:

• Plays on shows will be cumulative of all the episodes in the show. Viewing the chart below the graph will give you the breakdown of the show.
• Views are not unique so if a user were to listen to this episode on multiple occasions you the data will increment each time. To better understand how many multiple listens have occurred pair this data with the number of logins for the same time period in your user activity report.

Engagement: The engagement surfaces where within the content users are engaged. Data will be tracked based on what part of the content the user consumes. For example, data for a user will be collected at the 0% mark and 20% mark onward if a user seeks (fast forwards) to the 20% mark the episode and listens to the content from that point on. A few things to note:

• All users who play the content will be tracked at the 0% mark since the content auto-plays when navigating to the player.
• This data is reported in 20% segments. So if a user plays from 0-43%, the engagement numbers will increment for 0%, 20%, and 40%. However, if a user seeks to the 50% mark it will show they engaged at 0% and then from the 50% mark and beyond.
• If a user rewinds to re-listen to a portion of the content the area of the content will be tracked as many times as they rewind. This will help surface engaging content that users may want to listen to more than once. This will allows content creators to uncover what pieces of content are resonating with users.
• You can understand how much content has been consumed by reviewing the table of metrics below the chart. For example, if most users made it to the 50% mark this means they have consumed half of the content.

Adoption Analytics

Private podcast adoption can be viewed through your uStudio analytic dashboards by comparing the number of your activated users by the number of your licenses. If your adoption number seems low, you may need to reevaluate how you are promoting your program to your audience. Named-user analytics available through uStudio can also help drive new listeners and usage within your private podcast program. If there are employees who should be utilizing the private podcast application but are not, you have the opportunity to look into why this is, and ask their team lead for feedback or help with overall podcast promotion.

Group Analytics

If you have decided to restrict private podcast content to a particular segment within your organization, you may want to filter your analytics view to see how well they are engaging with your content. You might also be interested in how podcast preferences might differ from team to team. Understanding how group patterns differ can help you to develop the most targeted and successful podcast content for your specific internal teams who are consuming private podcast content. That’s why uStudio offers group analytics within their detailed dashboard offerings. You can learn more about group analytics here.

How Do You Know How Your Private Podcast is Performing?

The goals and objectives you originally set for your private podcast program will help determine what success should look like. Note that success looks different for every company and every podcast.

For example, if your objective of a sales enablement podcast is merely to increase productivity during fieldwork or windshield time, you might pay close attention to your podcast download data, as one can infer that those who are downloading episodes are planning to access the content during commutes or a time when network bandwidth is low. You can also look at your Web vs Mobile play time to see the amount of your employees who are listening to podcasts on the go, on their mobile devices.