Building a successful podcast is not the easiest feat. There’s a lot of work that goes into it, and any advantage you can find is helpful. One edge that you can give yourself when building a podcast is utilizing podcast analytics. By collecting useful and actionable data, you can make your podcast better for you and your listeners.
Good Engagement Metrics to Use
So when you start delving into podcast analytics, you might be wondering where to start. There are plenty of useful metrics to look at. Here are just a few examples of engagement metrics that are handy to have:
- Total downloads
- Downloads on a monthly, weekly and daily basis
- Subscribers
- Listeners
- Reviews
- Unique users and downloads
- How long people listen and when they stop listening
There are plenty of podcast analytics that you can get from the hosting platforms themselves, but more in most cases, it’s a good idea to start using third-party tracking software. Third-party podcast analytics software can help you get more detailed metrics and start using them to your advantage.
Choosing the Right Podcast Analytics Tool
Choosing the right analytics tool is up to you, but it’s a good idea to find one that will give you tons of unique metrics that can give you the competitive edge you’re looking for. Finding out how many people actually listen after a download, for instance, would be a highly useful metric. It lets you see how many people are engaging with your podcast. Also, when you’re only looking at the metrics on individual hosting platforms, you have to switch between them and look at all your data that way. If you have a third-party analytics tool, you’ll be able to look at all of your different metrics in one place. This makes monitoring, reporting and utilizing the data much easier.
With the right data, you can truly make your podcast something special. You’ll be able to see what your listeners like and better cater to their interests. You’ll also be able to better serve advertisers and make the relationship more fruitful for them.
Read a similar article about the best podcast analytics tool here at this page.
