Podcast Analytics - Acast
Some eight podcast analytics available on Acast are referrers, top players, top devices, download data, time of day distribution, top platforms, top episodes, and locations. These findings are also available on the attached spreadsheet.
- It provides the user with download stats, which include "plays or streams from every podcast app." 'Downloads,' as a metric, provides clarity on a podcast's popularity.
- This analytics also includes data of episodes inserted and activated on a website and affords podcasters a better understanding of what their audience listens to.
- Referrers are specific to industries, meaning referrals that emanate from another person in such an industry. In the podcast industry, this analytics will probably give podcasters a better understanding of podcasts their audience refers to one another.
- This analytics likely measures top episodes by what listeners consider as their favorites.
- On the Acast dashboard, there is a three-dot menu where listeners can find the option of listening to an episode later, and such action makes the episode a favorite automatically. It is safe to say that this analytics will give podcasters a better understanding of their audience's preferences.
- This analytics likely provides the top devices listeners use to engage podcasts, and such will afford podcasters a better understanding of the choices of their audience. For instance, Acast provides multifunction use for Android and IOS devices, but such is not available for Sonos speaker system at the moment.
Time of Day Distribution
- This analytics likely measures the periods in the day when podcasts enjoy peak patronage. Acast boasts of its proficiency in helping podcasters distribute their content with expertise. But tracking the time of day distribution will give podcasters a better understanding of when their audience listens to podcasts.
- This analytics likely provides the top players in every category or segment. Since 'downloads' provide clarity on a podcast's popularity, this analytics will probably give podcasters a better understanding of what their audience listens to.
- This analytics shows the top platforms listeners frequent to listen to podcasts. The choice of top platforms will give podcasters a better understanding of how to engage the audience.
- This analytics likely provides the demographic locations of listeners. Such analytics will give podcasters a better understanding of how to engage the audience.
We identified all available analytics on the podcast distribution platform Acast by combing through its website. Through the FAQ section, we identified and listed all available analytics the platform uses. However, we couldn't find sources that describe sufficiently these analytics on the platform's website, the platform's blogs, and third-party platforms like Triton, Tyson Franklin, Marketing Charts, and CodeinWP.
The purpose of the analytics is to give podcasters a better understanding of how to engage the audience. Therefore, we used this sole purpose to provide logical descriptions of each analytics based on their nomenclature. We also provided two to three sentences for those analytics we considered as providing information about user engagement.