Podcast analytics allows you to track your performance using real world data. This data, which ranges from subscribers to the average listening time, helps you choose strategic content. The Libsyn tool can help you podcast while keeping a tab on your audience and stats of listens and downloads. When you host your podcast with Libsyn, you’ll be able to see podcast analytics, user agent stats, social media stats, and more!
If you are interested in understanding the concept of line graphs, pie charts, and bar charts, you don’t need to be worried. When analyzing your podcast’s performance, analytics provide a wide range of data, but specific actions are more important than others. Here is the complete guide about podcast analytics.
The stream shows how many people have listened to your podcast for the first time but doesn’t tell you how long they’ve listened. To do this, keep track of how long it takes to listen to each episode. It is a good indicator of audience engagement as it demonstrates how long you can keep the average listener attentive and engaged.
Downloads are not always a good sign of audience engagement. Several people download the podcast but never listen to it. In addition, when a user clicks the play button on a podcast, some applications automatically download it, further corrupting the data. Because they do not have full access to streaming metrics, podcast presenters usually measure total downloads. Thus analytical solutions can be beneficial in these situations.
Subscribers indicate the number of listeners who want to watch more than one particular episode. They are a great indicator of long-term success because they reflect how many people have listened to you over time. Although no one can understand the entire process of the algorithms, subscriptions significantly affect podcast directory rankings.
Most podcast providers allow you to provide your data based on total downloads and streams. However, the total number of streams in all folders may not be accurate. In addition, your podcast host may not have access to individual play data, leading to data fluctuations.
Not all podcast hosts use the same measurement technique; it means that if you change host, you can get a new set of numbers. While your hosting provider’s data is still helpful, third-party podcast analytics can provide a high level of consistency across platforms.
Analytics holds much importance for measuring the monetization potential of the podcast. Since podcasts usually promote advertisements, the sponsors usually pay for ad space depending upon per-thousand listeners of every episode, also called CPM (Cost Per Mille). For instance, if your podcaster charges $5 CPM, and your episodes are downloaded 10 thousand times, then the sponsor will pay you $50. Hence, the analytics of your listeners can define your strategy of earning more money, and likewise, you can develop and plan your podcast to attract more audiences.
Understanding podcast statistics can help you find new ways to improve your content. In addition, you can carefully monitor your podcast’s performance and refine the content to engage the audience better.