Podcasting is a relatively new channel with complex and often opaque data collection, interpretation, and discrepancies across platforms. Here are 5 myths of podcast analytics debunked:
- The number of downloads accurately reflects the number of listeners. Factors like automatic downloads, bots, or multiple downloads by the same listener can reflect this metric. Unique listener metrics and engagement data better reflect your audience.
- A high number of subscribers guarantees high listenership. Many people subscribe to podcasts but listen infrequently. Episode unique listeners, completion rates, and consumption rates are better gauges for the popularity of your episodes.
- Episode length determines listener engagement. Listeners have different preferences—some prefer shorter episodes, while others want longer discussions. Focus more on content quality, consistency, relevance, and delivery than duration.
- High listener numbers automatically lead to monetization opportunities. Advertisers and sponsors also consider listener demographics, engagement, and niche appeal.
- Analytics can’t measure listener loyalty and satisfaction. Subscriber retention, episode completion rates, listener feedback, and social media interactions provide valuable insights about your audience.
Check out the full post at Cohost.
