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How to understand podcast stats

August 19, 2018 · Updated September 24, 2019 · By James Cridland · 6.6 minutes to read

Podcast statistics can be confusing and complex: but it’s always nice to look at the numbers to see how your podcast is doing.

Here are some details about how the different figures work, and how to read them.

How the Apple Podcast charts work

Apple do not publish the way they compile the main Apple Podcast charts, but they are generally understood to be based on recent subscriptions. Libsyn’s Rob Walch claims they are “the total number of new subscribers in the past 7 days, with a weighted average for the last 24, 48, and 72 hours.”

An appearance on the Apple Podcast charts reflects a podcast’s ability to attract a larger number of new subscriptions to their podcast over recent days. It is not related to downloads.

You can appear very highly on the Apple Podcast charts by planning all activity around your podcast release on one specific day, and encouraging as many subscriptions on that one day as possible. A couple of hundred new subscriptions should ensure you’re top of the chart, according to Walch.

Other charts within Apple, like New & Noteworthy, are believed to be hand curated by Apple. Again, most of them are not related to downloads.

Like any other service, the Apple Podcasts charts can be manipulated, either by companies or by individuals.

Understanding Apple Podcast Analytics

You can see analytics for your podcasts by logging into Apple Podcasts Connect. This only tracks listens on recent versions of the Apple Podcasts app, and users can opt out of being tracked. Apple is responsible for about 58% of global podcast downloads, so Apple Podcast Analytics perhaps only measures 50% of your downloads at best.

Because the numbers aren’t a total view of your podcast’s performance, many people recommend you ignore the numbers that you see in Apple Podcast Analytics; instead, use it for the consumption graph that shows you how people are listening to your podcast; where they skip, and where they stop listening. You can also use it for trends - is the number generally increasing?

Apple Podcast Analytics only report a sample of your audience. They are an incredibly useful tool to help you understand how people are consuming your podcast. They do not give you the total numbers for your podcast, and will always be different to your podcast host.

Understanding your podcast host’s statistics

Your podcast host probably offers statistics about downloads. Be aware of the following:

Understanding the difference between plays, streams and downloads

Many podcast apps download a podcast automatically; and don’t report back to your podcast host if it’s actually been played. However, the default for some podcast apps, notably Google Podcasts, Leela or Spotify, is only to download the audio for a podcast if you press the play button. (This behaviour is typically known as “streaming,” though technically that’s not quite what’s happening, so this may lead to arguments).

A “play” normally means that there’s a human being listening. A “download” doesn’t always mean a podcast was ever listened-to. (32% of respondents to this UK survey say they listen to half their downloaded episodes or fewer).

Unfortunately, in most cases a podcast host can only measure total downloads - and is unable to know whether a downloaded podcast was played. Caution, therefore, when comparing different podcast apps.

You could argue that a play within Google Podcasts or Spotify, which both normally only “stream” a podcast on-demand, is more valuable than an automated and speculative download. In a blog post, Simplecast compare different podcast app behaviour.

Understanding Spotify analytics

Spotify does not measure downloads, but listens. Spotify supply two numbers. They say:

Starts measure any listener who clicked on a podcast episode. There is no minimum time limit to be counted as a start on Spotify. Starts align to a download used by other podcast listening platforms.

Streams measure any listener who listened to at least 60 seconds of your podcast. Streams align to the IAB (International Advertising Bureau) definition of a download, an industry-wide accepted metric.

Because Streams are a stronger representation of a person who listened to a meaningful section of your podcast, we recommend you use them to better understand your audience and their behavior.

Unlike other services, the Spotify for Podcasters portal gives you some data regarding the demographic breakdown of your listeners.

Understanding Podtrac analytics

Podtrac is a free service for podcasts. It measures downloads in a consistent way, whatever the podcast host.

You can use Podtrac to compare numbers for any podcast: but the numbers for individual shows aren’t made public.

Podcasters need to sign up with Podtrac (free) to measure a podcast. Many producers don’t; so the Podtrac numbers will always only show an incomplete picture of the podcasting landscape.

Caution: Podtrac actually measures a request for a download, and doesn’t know how much of the podcast is actually downloaded. There are technical ways to adversely affect the numbers. Podtrac is IAB Certified, but their figures may be markedly different from other IAB Certified podcast hosts as a result.

You can discover if a podcast is using Podtrac by searching for it in Podnews, and then viewing its technical information.

Podtrac release some monthly data. See the latest from our daily newsletter archives.

Understanding third-party services like Podkite, Chartable and others

There are some products out there which might claim to show podcast analytics. However, unless they are directly built into your RSS feed or you’ve given them access to your hosting account, they do not know podcast download numbers.

These services mostly work by storing the Apple Podcast charts, and other similar services, and then making this historical information available in the form of a chart or table.

They are therefore a useful record of trending charts: but they do not offer a way of comparing a podcast.

You can get a taster of Chartable’s information for any podcast by searching for it in Podnews, and then viewing its technical information.

Chartable has a service called Trackable, which works the same kind of way as Podtrac. Podnews uses it.

An example of why trending charts like the Apple Podcasts chart doesn’t measure a podcast’s popularity

Podcast 1 has spread by word of mouth. It has three new subscribers every day, and has existed for three years. It will never appear on the Apple Podcast chart, since that is worked out using recent subscriptions. It now has 3,000 subscribers (and almost as many downloads per episode).

Podcast 2 launched in a blaze of publicity three days ago. It got 200 new subscribers in one day, but has trickled away to very few new subscribers. It has a total of 230 subscribers. Because it did very well in its launch, it appeared at #20 in the charts.

While Podcast 1 has never appeared in the Apple Podcast Charts, it is over ten times larger than Podcast 2.

Podcast measurement vs radio measurement

You might hear some people compare podcast measurement with radio measurement. Here are the differences:

In short, therefore, all research is flawed. Be cautious about comparisons.


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