podcast analytics

Podcast Analytics: Measure Your Performance

Growing your podcast to the next level is a combination of great content, relevant topics, design optimization, and consistent promotion. But podcast analytics is one aspect of your podcasting strategy that is often overlooked.

Let’s dig into the importance of podcast analytics and how to use the data to improve your podcast. 

What Are Podcast Analytics? 

Podcast analytics is a set of tools used by podcasters to measure their performance. This can include listening statistics and data on how many people are subscribed to your podcast and how often they listen.

It is also a crucial part of your podcast strategy. It can help you determine if the content and topics you are covering are relevant to your audience. You can also use it to identify where people are downloading your podcast and how frequently they listen. This information can help you prioritize new episodes and determine what types of content will resonate with listeners.

What Are the Most Relevant Statistics?

Reading your statistics is a great way to determine if your podcast is successful and how you can improve it. While there are several statistics you can track, there are some that are more important than others. These include:

The Basics: Reach & Listens

Reach and listens are the most basic statistics you should track. Reach is the number of people who have seen your podcast in any form (e.g., on iTunes), while listens are how many times your podcast has been played. Both of these stats will help you determine how successful your podcast has been so far, and they’re easy to measure with the right podcast analytics software.

These two statistics are also important because they’re what you can use to measure your podcast’s growth over time. For example, if you started with a reach of 1,000 and now have a reach of 5,000 people, that means that your podcast has grown by 400%!


Demographics are another important piece of data to track. You can learn a lot about your audience by looking at their demographics and listening habits. For example, if most of your listeners are between the ages of 25 and 34, this will help you create more content that appeals to people in that age range.

Using demographics in podcast analytics is one of the best ways to get a sense of where your audience is coming from, and how they’re engaging with your content. It’s also one of the best ways to make sure that you’re reaching the right people.

Let’s say you want to reach more people who identify as female—you can use demographic data to see which topics are appealing to women, and start creating more episodes on those topics. If you want to reach more listeners who are young adults—you can use demographic data to see what types of shows they tend to listen to, and then create content that fits those categories.

Devices & Platforms

Podcast analytics can also be used to gather data on what devices and platforms your audience is using. This information is useful because it allows you to make informed decisions about how to promote your podcast, as well as what type of content you should create.

This data will tell you how many people are listening to your podcast on a given device, and whether or not they’re using a mobile app or an external player. You can also see how many people are listening on each platform—iTunes, Spotify, Google Play Music, and more—and how that’s changed over time.

You can use these insights to determine which platforms are best for your audience and where you should focus your efforts in the future.

Retention & Downloads

Retention shows you how many people listened to it all the way through an episode (or at least until they hit ‘pause’ or ‘stop’) compared with those who started it but didn’t finish it. This is a good way of measuring engagement with an individual show over time—you can see which episodes had high retention rates and which ones didn’t.

Downloads are the number of times an episode was downloaded. It is a good indicator of its popularity and exposure. Knowing how to track podcast download information can determine which episodes are more popular than others and what topics interest your audience most.

Engagement & Interaction

Engagement and interaction are the rates at which your listeners are interacting with your content. This includes things like sharing links to your show on social media or writing reviews about it online.

The importance of engagement and interaction can’t be overstated. It shows that people are listening to your show, enjoying it, and recommending it to others—which is a great way to grow your audience!

These podcast metrics are most worth paying attention to. In order to have full access to these important podcast statistics, you need to choose the best podcast analytics tool to use.

The Benefits of Measuring Your Podcast Analytics

Measuring your podcast analytics is one of the most important steps to improving your podcast. It’s also one of the most underutilized!

The benefits of measuring your podcast analytics are:

1) You get real data about your listeners and their behavior, which can help you improve the quality of your show in both content and production.

2) Having this data at hand can be useful when you’re pitching to sponsors or advertisers. It lets them see how many people are listening to your show and how engaged they are with it.

3) Podcast analytics will help you understand if there are any gaps in your audience or if there’s a specific demographic of listeners that aren’t being reached by your show so that you can focus on those people more in future episodes.

4) Podcast analytics can help you determine whether a certain episode was successful in driving listeners back to your website or social media sites. 

5) You can gain insight into what times of day are best for your audience by seeing how many people are listening.

These are just a few of the many reasons why you should be tracking your podcast analytics. If you have a podcasting business that relies on online marketing and building an audience, you’ll want to make sure that you’re doing everything you can to reach your target audience. A big part of that is understanding how people interact with your content—podcast analytics can help with that!

What Are the Best Podcast Analytics Tools?

There are a lot of podcast analytics tools out there, and choosing the right one for your show can be overwhelming.

If you’re looking for a way to measure your podcast’s performance, there are a few tools that can help. Here are some of the best:


With a third-party podcast analytics tool like Chartable, you can gather all the data that matters for your show: downloads per episode and over time, country breakdowns by listenership, and more. You can even access real-time streaming stats so that you always know how many people are listening at any given moment—and if those numbers are trending up or down.

With over 1 billion monthly downloads and IAB certification, Chartable compiles podcast data into the top podcast surveys. That’s all in addition to providing users with the ability to track their own stats on an episode-by-episode basis.


Acast is one of the best podcast analytics tools because it gives you a complete overview of your show’s performance. It’s easy to use and offers some great insights into your podcast’s performance.

The tool is also great for tracking your podcast’s growth. You’ll be able to see how many downloads, streams, and subscribers you’ve had over time. It’s a really useful way of keeping track of your show’s progress.


With Blubrry, you get detailed data about your podcast’s performance on every platform: Apple Podcasts, Google Podcasts, Spotify, iHeartRadio, and more. You can see how many people downloaded your episode; how many episodes were streamed; whether or not they’ve been listened to; and much more.

Blubrry also gives you insights into what might be holding back your downloads—for example, if people aren’t downloading an episode because it’s too short or too long for them. This podcast stat tracker can help you make changes that will improve your performance on each platform!


Backtracks is a podcast stats tracker that allows you to see exactly how many downloads your episodes have gotten, where your listeners are from, what device they’re using (if they’re listening on the go) and more.

They claim to be the most advanced analytics tool for podcasts and they’re definitely a great option if you want to dig into the nitty gritty of your stats. 


Aside from being one of the most popular hosting platforms in the world, Podbean also has a ton of great tools that can help you grow your podcast. They have an analytics dashboard where you can see how many downloads each episode has gotten, what countries they’re coming from, and more. 

If you want to dive deeper into your stats, you can pay for a premium account and get access to more advanced analytics. 

These are just some of the best podcast statistics tools that you can use to keep track of your podcast’s performance. As you grow and improve your show, it’s important to have these kinds of metrics in place so that you can identify trends and make adjustments as needed!

FAQs on Podcast Analytics

1. Do Major Podcast Directories Like Apple, Spotify, and Google Offer Podcast Analytics?

Yes, Apple Podcasts, Spotify, and Google Podcasts all offer analytics features that will give you insight into how your audience is interacting with your show. These tools can help you understand which topics are resonating with listeners, which episodes have the most downloads or listen, and what days of the week are most popular for listening to your content.

2. How Frequently Should I Check Podcast Analytics About My Podcast?

It’s important to check these stats regularly—at least once every month for every episode—so that you can identify trends in your audience’s behavior over time and adjust accordingly if necessary (e.g., if there’s a sudden drop-off in downloads).

3. How Do I Know If My Podcast Analytics Are Accurate? 

It’s important to remember that these are just estimates, and they shouldn’t be used as the sole source of information when making decisions about your podcast. Instead, use them as a general guide for where your audience is coming from and what types of content they enjoy most.

4. How Do I Use This Data? 

The most important thing to do with your podcast stats is to take note of the trends. If you notice that one episode has a significantly higher download rate than another, it’s time to ask yourself why. Compare your analytics on this episode with those for other episodes in which you made changes (such as launching a new show format or branding). Sometimes, these numbers can be deceiving; maybe a certain type of content just resonates more with your audience than others.

5. How Do I Know if My Podcast Is Doing Well?

You would know your podcast is doing well if it has a steady listenership, a growing audience, and sponsorships or advertising revenue. You can also use your analytics to see how many people are downloading each episode, the average length of time they listen, and what percentage of people who listen to one episode go on to listen to another one.

Final Thoughts

Podcast analytics is an important aspect of growing your podcast’s reach and influence. Podcasting, like blogging, is all about discovering what it takes to become a successful content creator. So if you can track and analyze your podcast statistics over time, you will be able to make adjustments and improvements accordingly to grow your audience base.

Like any other aspect of a digital marketing strategy, it just so happens that podcasts are an opportunity you won’t want to miss out on!

Disclosure: Our objective is to highlight products and services that we believe you will enjoy and find useful. If you buy them, Starting to Know may receive a tiny percentage of the sales proceeds from our commerce partners at no additional cost to you.
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In the digital era, where everything is in constant movement, there is a magazine that also chooses to be fluid and evolve. Starting to Know is an e-magazine that wants to pass on knowledge and show a new way of consuming media.

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