Search

Home > Borja Rojano > 11 Best Podcast Analytics Tools – Measure Your Success 2023
Podcast: Borja Rojano
Episode:

11 Best Podcast Analytics Tools – Measure Your Success 2023

Category: Fashion & Beauty
Duration: 00:00:00
Publish Date: 2023-06-04 02:24:38
Description:

With so many podcasts available for people to listen to, it can be difficult to make your podcast heard.

You may have the content and an interesting theme, but that doesn’t guarantee you listeners.

If you’ve been publishing podcast episodes for some time but haven’t seen the growth you wanted, you might be stumped as to why your podcast isn’t growing.

That’s where podcast analytics tools can help. This software can help you keep track and manage all your podcast data and stats to help you see where your podcast can improve.

You can track important measures such as views and demographics, and see the difference from episode to episode. This data can then be used to improve your podcast and increase your listeners.

In this article, we will take a closer look at podcast analytics tools.

Top 5 Podcasting Analytics Tools for 2023

Introducing my top 5 picks for podcast analytics tools, personally tested and approved by myself. These tools have proven to be invaluable in tracking and measuring the performance of my podcast.

  1. Blubrry – Most Popular
  2. Castos – Best For Beginners
  3. Podbean – Some Free Analytics
  4. Anchor – Spotify Owned
  5. Transistor – Google Analytics Integration

11 Best Podcast Analytics Tools in 2023

Let’s begin by introducing some of the best software for podcast analytics.

1. Blubrry – Most Popular Podcast Analytics Tool

Blubrry is one of the most popular analytics tools out there. It offers several different services for podcasts and you can get basic statistics for free.

Blubrry

Blubrry Podcast Hosting makes publishing a breeze!


Pricing from just $10/mo

The more advanced analytics are only available with the Advanced Plan which costs $20 per month ($17 when billed annually.)

Blubrry will give you all of the stats you need but can be a little complicated for beginners.  

Blubrry complete review

2. Castos

Another of one of the more popular analytics tools is Castos.

Castos

A podcast hosting platform that automates ever step in building a successful podcast.

14-Day Free Trial

This is a great tool for beginners as it is straightforward and there is a wealth of easy to follow support to help you understand and get the most from the software.

Castos offers four different membership options ranging from $19 per month to $499.

Castos review

3. Podbean

Podbean offers analytics and monetization options for your podcast. The Basic tier is free and gives you some analytics tools but these are, as the name suggests, pretty basic.

35% OFF
Podbean
Exclusive Offer
  • Easily start your own podcast today!
  • There is a reason Podbean is used by 570,000+ Podcasters!

The other free tiers all offer advanced stats and begin at $14 per month ($9 when billed annually) With Podbean you get unlimited storage space and can use the service over multiple podcasts.

Podbean complete review

4. Anchor

Anchor fm
  • Create, distribute, and monetize your podcast - all for free.
  • User-Friendly Interface
  • Comprehensive Analytics


Anchor is a podcast hosting platform owned by Spotify, and it offers basic analytics features. It provides information on episode plays, listener demographics, and performance metrics. Find out who listens to your podcast on Spotify. It’s a user-friendly option for beginners or those looking for simplicity.

5. Podtrac

Podtrac is a podcast measurement and advertising platform that provides detailed audience analytics. It offers data on unique downloads, audience demographics, and listener engagement. It also provides industry benchmarks to compare your podcast’s performance.

6. Transistor

Transistor

“The best podcast hosting tool I've used”

Product Hunt Review

Transistor is a podcast hosting platform that offers comprehensive analytics features. It provides offers advanced podcast analytics data on downloads, listener demographics, engagement metrics, sharing and referral information, and episode performance. With integration options for Google Analytics, Transistor allows podcasters to track and measure their podcast’s performance, gain valuable insights, and make informed decisions to enhance their content and audience growth.

7. Spreaker

Spreaker
  • Turn your passion into a profession.
  • All-in-One Solution
  • Live Broadcasting


Spreaker is a podcast hosting platform that provides analytics on your podcast’s performance. podcast analytics tool enables data on downloads, listener demographics, and geographic distribution. It also includes features like live broadcasting, monetization options, and social sharing capabilities.

8. Simplecast

Simplecast is a podcast hosting platform with robust analytics features. It provides data on downloads, listener demographics, and engagement metrics. It also offers real-time analytics, ad tracking, and sharing insights with team members.

9. Google Analytics – Google Podcasts

Podcast Analytics Tools

Google Analytics, while primarily designed for website analytics, Google Analytics can be used to track podcast performance if you have a dedicated website for your podcast. By embedding tracking codes and using custom URL parameters, you can measure user engagement, traffic sources, and conversions.

10. Megaphone

Megaphone is a podcast hosting and monetization platform that includes analytics features. It offers data on downloads, listener demographics, and ad performance metrics. It also provides tools for dynamic ad insertion and audience segmentation.

11. Libsyn

Libsyn is a podcast hosting platform that provides detailed analytics on your podcast’s downloads, audience demographics, and user engagement. It offers insights on popular episodes, geographic distribution, and subscriber trends.

What Should I Look For In Podcast Analytics Tools?

When choosing a podcast analytics tool, look for comprehensive metrics coverage, integration with your existing platforms, user-friendly data visualization and reporting, and strong customer support.

Before you choose a podcast analytics tool for your podcast, there are a few things that you should take into consideration. Keep these in mind and they will help you choose the right tool for you.

Important Metrics and Analytics

As a podcaster, it’s important to track and analyze your podcast’s performance to improve your content and grow your audience. Here are some important metrics and analytics to keep an eye on:

Downloads and Listens

Downloads and listens are the most basic and important metrics to track. Downloads refer to the number of times an episode has been downloaded, while listens refer to the number of times an episode has been played. It’s important to track both metrics to get a complete picture of your podcast’s performance.

Subscriber Growth

Subscriber growth is another important metric to track. It refers to the number of new subscribers your podcast has gained over a specific period of time. Tracking subscriber growth can help you understand how your podcast is growing and what content is resonating with your audience.

Geographic Data

Geographic data refers to the location of your listeners. This metric can help you understand where your audience is coming from and tailor your content to their interests a key for all successful podcasts.

Listener Demographics

Listener demographics refer to the age, gender, and other characteristics of your listeners. This metric can help you understand who your audience is and create content that resonates with them.

Episode Popularity

Episode popularity refers to the number of downloads and listens of each episode. This metric can help you understand which episodes are resonating with your audience and create more content that they enjoy.

Listening Duration

Listening duration refers to the amount of time your listeners spend listening to your podcast. This metric can help you understand how engaging your content is and identify areas where you can improve.

User Engagement

User engagement refers to how your listeners interact with your podcast, such as leaving comments or sharing your episodes on social media. This metric can help you understand how engaged your audience is and what content they are most likely to share.

Referral Sources

Referral sources refer to where your listeners are coming from, such as social media or search engines. This metric can help you understand where your audience is discovering your podcast and tailor your marketing efforts accordingly.

Conversion Tracking

Conversion tracking refers to how many of your listeners take a specific action, such as signing up for your email list or purchasing a product. This metric can help you understand how effective your marketing efforts are and identify areas where you can improve.

Social Media Analytics

Social media analytics refer to how your podcast is performing on social media, such as the number of followers or engagement on your posts. This metric can help you understand how your audience is interacting with your podcast on social media and tailor your social media strategy accordingly.

Ad Performance

Ad performance refers to how effective your podcast ads are at driving conversions or increasing brand awareness. This metric can help you understand how effective your advertising efforts are and identify areas where you can improve.

Tracking these metrics and analytics can help you understand your podcast’s performance and make data-driven decisions to improve your content and grow your audience.

Integration and Compatibility

When it comes to podcast analytics tools, integration and compatibility are key factors to consider. A tool that seamlessly integrates with your existing podcast hosting platform, content management system (CMS), advertising network, marketing tools, CRM and email marketing software, social media platforms, and third-party analytics platforms can make your life a lot easier.

Podcast Hosting Platforms

Most podcast analytics tools are designed to work with popular podcast hosting platforms such as Buzzsprout, Libsyn, Podbean, and Blubrry. These tools can help you monitor your podcast’s performance, track your audience’s listening habits, and analyze listener engagement.

Content Management Systems (CMS)

If you use a CMS like WordPress, Squarespace, or Wix to manage your podcast website, you’ll want to make sure that your podcast analytics tool is compatible with your CMS. Some tools offer plugins or integrations that make it easy to track your podcast’s performance and analyze listener data right from your CMS dashboard.

Advertising Networks

If you monetize your podcast through advertising, you’ll want to make sure that your analytics tool is compatible with your advertising network. Some popular advertising networks for podcasts include Advertisecast, Midroll, and Podcorn.

Marketing Tools

To promote your podcast and grow your audience, you may use marketing tools like Google Analytics, Facebook Ads, or Twitter Ads. Your podcast analytics tool should be able to integrate with these tools to help you track the effectiveness of your marketing campaigns and measure your ROI.

CRM and Email Marketing Software

If you use a CRM or email marketing software like HubSpot, Mailchimp, or Constant Contact, you’ll want to make sure that your podcast analytics tool can integrate with these tools. This will allow you to segment your audience, personalize your messaging, and track the effectiveness of your email campaigns.

Social Media Platforms

Social media platforms like Facebook, Twitter, and Instagram can be powerful marketing tools for your podcast. Your podcast analytics tool should be able to integrate with these platforms to help you track your social media engagement, monitor your brand reputation, and measure the impact of your social media campaigns.

Third-Party Analytics Platforms

In addition to the tools mentioned above, you may also use third-party analytics platforms like Google Analytics, Mixpanel, or Kissmetrics to track your website traffic, listener trends and user behavior. Your podcast analytics tool should be able to integrate with these platforms to help you analyze your podcast’s performance in the context of your overall web analytics.

In conclusion, when choosing a podcast analytics tool, it’s important to consider its integration and compatibility with your existing tools and platforms. By choosing a tool that seamlessly integrates with your existing workflows, you can save time, streamline your processes, and get better insights into your podcast’s performance.

Data Visualization and Reporting

As a podcaster, I understand the importance of analyzing data to improve my podcast’s performance. That’s why I always look for podcast analytics tools that offer powerful data visualization and reporting features. In this section, I will discuss the key features of podcast analytics tools that make it easy to visualize and report on your podcast’s data.

Dashboard Interface

The dashboard interface is the first thing you see when you log in to your podcast analytics tool. It should provide you with a quick overview of your podcast’s performance, including metrics such as total downloads, unique listeners, and engagement rates. A good dashboard interface should be easy to navigate and customizable, allowing you to choose the metrics that are most important to you.

Customizable Reports

Customizable reports allow you to drill down into specific metrics and get a more detailed view of your podcast’s performance. You should be able to create custom reports that are tailored to your needs, including reports on specific episodes, listener demographics, and geographic data. A good podcast analytics tool should also allow you to schedule reports to be sent to you automatically on a regular basis.

Real-Time Analytics

Real-time analytics allow you to monitor your podcast’s performance in real-time, so you can make adjustments on the fly. You should be able to see podcast statistics like how many people are listening to your podcast right now, where they are located, and what devices they are using. Real-time analytics can also help you identify trends and capitalize on them.

Historical Data Analysis

Historical data analysis allows you to look at trends over time and identify patterns in your podcast’s performance. You should be able to see how your podcast has performed over the past week, month, or year, and identify trends that can help you make informed decisions about your podcast’s content and marketing strategies.

Exporting and Sharing Options

Exporting and sharing options allow you to share your podcast’s data with others, including advertisers, sponsors, and collaborators. You should be able to export your data in a variety of formats, including CSV, PDF, and Excel, and share it with others via email or a shareable link.

In conclusion, podcast analytics tools that offer powerful data visualization and reporting features can help you take your podcast to the next level. By using customizable reports, real-time analytics, and historical data analysis, you can gain insights into your podcast’s performance and make informed decisions about your content and marketing strategies.

User Interface (UI) and Design

When it comes to podcast analytics tools, the user interface (UI) and design are crucial factors to consider. A well-designed UI can make it easier for users to navigate the tool, understand the data, and make informed decisions. Here are some key aspects to consider when evaluating the UI and design of podcast analytics tools.

Usability and User Experience

Usability and user experience (UX) are critical components of any analytics tool. A good UI should be intuitive, easy to use, and provide a positive experience for users. Look for tools that offer a clean, modern design with clear labeling and easy-to-understand data visualization. The tool should also be responsive and provide quick access to data and reports.

Ease of Navigation

The ease of navigation is another important factor to consider when evaluating podcast analytics tools. The tool should be easy to navigate, with a clear hierarchy of information and easy access to key features. Look for tools that offer a customizable dashboard, allowing you to organize data and reports in a way that makes sense to you.

Mobile Accessibility

With more people accessing podcasts on mobile devices, it’s important to consider mobile accessibility when evaluating podcast analytics tools. Look for tools that offer a mobile app or a responsive web design that adapts to different screen sizes. The tool should be easy to use on a mobile device and provide access to all the same features as the desktop version.

Customization Options

Every podcast is unique, and the analytics tool you choose should be able to accommodate your specific needs. Look for tools that offer customization options, allowing you to tailor the UI to your preferences and the needs of your podcast. This might include the ability to create custom reports, set up alerts, or integrate with other tools and platforms.

Integration with Podcast Workflow

Finally, consider how well the analytics tool integrates with your podcast workflow. The tool should be easy to use alongside your existing podcast hosting platform, editing software, and other tools. Look for tools that offer integrations with popular podcast hosting platforms, such as Apple Podcasts, Spotify, and Google Podcasts, as well as editing software like Audacity or Adobe Audition.

In conclusion, when evaluating podcast analytics tools, the UI and design are critical factors to consider. Look for tools that offer a clean, modern design, easy navigation, mobile accessibility, customization options, and integration with your podcast workflow. By choosing a tool with a well-designed UI, you can make it easier to analyze your podcast data, make informed decisions, and grow your audience.

Features

The most important feature that podcast analytics tools need is the ability to track and manage all of your podcast data from the different podcast hosts.

They’ll let you know how many people are listening to your podcast, how many quit before the finish, the demographics, and other details.

There are several other features that you should also look out for when choosing a podcast analytics tool.

Good tools will let you see which podcast platform is the most successful for you and the trends of your listeners.

You’ll be able to see how many downloads you get, which episodes are the most popular, and also create RSS feeds. 

Podcast Analytics Tools

Price

Most analytic tools require a subscription to access. They often offer different tiers of membership and each higher tier will give you more tools and stats.

Before you choose a podcast analytics tool, consider how much money you want to spend per month or year on these tools.

Set yourself a budget and stick to it. No matter how much or how little that you want to spend, there will be a tool out there at that price point.

We would also recommend taking advantage of any free trials offered by the tools. These will give you the chance to try out the analytics tools to see if it suits you and your needs.

Level

Some podcast analytics tools are aimed at expert analysts and will give you pages and pages of detailed stats to pour through.

For most podcast creators, however, this level of analytics is not really necessary and if you don’t understand the numbers, you’ll find them less helpful than they should be. 

Other tools have more streamlined and straightforward stats that are easier to understand. We would recommend choosing a tool that has the level of stats that you need.

There’s no need to get the most in-depth tools if they will only confuse you.

Platforms Supported

Before you choose a podcast analytics tool, you need to make sure that it is compatible with all of the platforms your podcast is hosted on.

Most tools will be compatible with the larger hosts such as Spotify and Apple Podcasts, but does it work with YouTube as well? What about some of the smaller services such as Castbox or Stitcher?

If the tool isn’t compatible with all of the platforms your podcast is published to, you won’t get the full picture of your stats.

Report Frequency

This is often tied to your level of membership, but it’s worth checking how frequently the analytics tool provides reports.

If you’re an experienced podcaster that is looking to make a living from podcasts, you will want frequent reports that update in real-time.

However, if podcasting is more of a hobby to you, then reports generated weekly or even monthly might be sufficient.

Storage

Some podcast analytics tools offer you unlimited storage and bandwidth so you can get as much information as you need and store previous reports.

Others offer more limited options so you should consider which is best for you before you subscribe.

Other Features

Some analytics tools are packaged with other podcast services. For example, some will offer you the option of building your own dedicated website or are also hosting services.

If you need any other podcast services, this can be a very cost effective way of getting them and some analytics.

Final Thoughts

In this article, we looked at podcast analytics tools. We considered what they are and what features to look out for.

We also listed some of the most popular analytics tools. We hope that the information and advice in this article will help you choose the best podcast analytics tools for your podcast.

Total Play: 0