Check Your Podcast Performance

Podcast Analytics is a data visualization tool where you can review actionable insights into your podcast’s performance. You can access Podcast Analytics from within Podcasts Connect — remember to sign in with the Apple ID used to originally submit the show.

With Podcast Analytics, you can better understand how users are listening to your shows and episodes on Apple Podcasts. For example:

  • How many people are listening to your podcast episodes?
  • Are people skipping over your episode intro or your second mid-roll?
  • How are your episodes and podcasts performing over time?
  • Which parts of your episodes are more interesting than others?
  • Where are your listeners located in the world?

Watch an introduction to Podcast Analytics to better interpret these metrics to help improve your show.

Consumption metrics: downloads vs. listens

While the key metric for understanding a podcast’s reach has traditionally been downloads, Podcast Analytics focuses on providing aggregated listening completion rates from unique devices for each episode.

For example, you can see the number of users who listened to an episode and the average listening time for an episode.

Note: Average Consumption may be over 100%. This means that one or more unique devices listened to the entire episode more than once.

Additional consumption metrics

Apple doesn’t provide support for third-party podcast analytics, but you may be able to obtain other consumption metrics such as downloads or subscriptions from your hosting provider or from the server where your podcast is hosted. Contact your web server support teams for further details.

Tips: The following can be helpful when implementing analytics on your server or with your web host:

  • HTTP 302 responses are followed to a depth of up to five redirects and don’t update the feed URL in the directory.
  • The URL preceding GET-style form values (before the first “?”) must end in a media file extension such as .mp3. (incorrect)

For more information, see Interpreting Server Requests for Podcast Reporting.

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