Content usage reports

Reports contain information on how and where content is accessed. Publishers can use our online portal to generate content access reports for their podcasts and live-streams over any time range, with some easy defaults like "Today" and "Past Month":

Basic podcast reports

Subscribers to any of our podcasting plans has access to these sections:
  • Access / Timeline graph - number of downloads plotted over the selected range, hover cursor to show individual data points.

  • Access / Top channels - list of channels sorted by most downloads first and allows drill-down into channel specific report.
  • Access / Top episodeslist of episodes sorted by most downloads first and allows drill-down into episode specific report.
  • Access / Top ad campaigns - lists all ad campaigns run on your content during this time range, sorted by most ads delivered first. May be omitted if no ads were run on your content during this period.
All access lists can be browsed or downloaded as CSV files:

Premium podcast reports

Premium reports includes all the basic report data and makes available additional fields on all provider, channel and episode reports.

  • Google Analytics - Users - when accessing a podcast or stream via our embedded player or on our website we use Google Analytics to track users actions, which gives us a number of unique listeners with a graph of daily activity. This only includes plays from our modern players on modern web browsers, and excludes any listens from fallback players or access via RSS feeds using iTunes or other applications. Note this figure does not represent a 100% accurate amount and will always be lower than the actual, as various factors can cause listens even on modern browsers not to be tracked correctly, for example ad blockers, anonymizers, mobile networks. We started tracking this data from 1 September 2016, and reports on periods previous to this will not reflect any data for these fields.

  • Location / Top countries & Top citiesgeo-reference data is produced against commercial versions of the MaxMind GeoIP datasets to show where content is accessed from. "In our recent tests, the databases were 99.8% accurate on a country level" - Maxmind support article

  • Behaviour / Peak listening times - plots which daily times receives the most listens, use hover to show hourly data points.

  • Behaviour / Access source - breakdown of where the content access originated. This can be via a browser visiting our website, embeds on another website, RSS feeds, or a recognised player application like iTunes, Overcast or Podcast Addict. Hover over section to see exact number.

  • Technology / Devices - breakdown of what type of device was used to access the content. 
  • Technology / Platform - breakdown of operating systems.

  • Technology / Browsers - breakdown of browsers used.

  • Technology / Applications - Breakdown of recognised player applications.

  • Audio / Quality - breakdown of most popular quality level. Medium is default for RSS and embed players. See our article on audio quality levels.

  • Audio / Format - breakdown of most popular file format. MP4 is the default for RSS feeds and direct downloads. Our embedded player will auto-select the most appropriate format for the browser it is loaded in.

Live-stream reports

Live-streaming reports start with a graph showing number of concurrent users over time instead of podcast access graph:

Live-stream reports also contain all the fields made available under the Premium podcast reports, which each field having the same meaning as discussed above.

Concurrents versus sessions

Concurrents: The concurrent stream sessions graph at the top of the report shows the number of streams being delivered at the same time. This is a pretty accurate measure of how many active listeners you have at any given point in time.

Connections: Streaming player applications have one active connection/session at a time while the user is listening, however many connections may be started and stopped in the background based on network conditions. For example, short interruptions on 3G networks can lead to many connections started and stopped without the user noticing interruptions. Under ideal conditions one listening session would equate to one reported connection, but this is seldom the case. Connections is therefore not really a valuable measurement of users or engagement.

Stream uptime

We track downtime from our stream sources and this section provides uptime information for the report duration:

Unique users

Unfortunately we do not yet support tracking unique number of listeners. We do have plans to attempt support for this in the future, but have no target date yet.

Web tracking platforms like Google Analytics can track unique number of users relatively easy by using cookies in the browser. However, our podcasts and streams are frequently used by applications which do not support cookies at all, for example RSS players like iTunes, Overcast, Podcast Addict or any other third-party application outside browsers. For these we only have minimal information available around each request, not nearly enough to reliably identify any request as a unique user.

We do have some plans in place to get this information where cookies are available, and then provide other methods for tracking it in places where it is not, but will only make this available once we've achieved some measure of accuracy.

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