When we think about success in the podcast industry, we often think about originality and the power to educate and entertain.
Under the surface, however, a silent revolution is underway. One where data literacy is now on equal footing with creativity as a predictor of success.
Media companies like Sounds Profitable and Podnews regularly educate their audience about this topic. Podcast-focused data companies like Chartable and Voxalyze have emerged.
Despite this context, the podcast industry is still not as data-driven as the web and app ecosystems. A major limiting factor has been the sophistication of platforms like Apple Podcasts Connect and Spotify for podcasters (or lack thereof).
Don’t get us wrong; the metrics they share are very insightful. No doubt about that. But in many ways, these platforms lack the depth needed to A/B test and optimize your podcast assets based on data.
Let’s take podcast on-platform discovery, for instance. There are best practices to help your show rank higher in search engines and improve your cover art so more people feel compelled to give it a listen.
We’ve been writing about this at length in our pieces on metadata optimization and podcast conversion rate optimization.
The problem was that you could not directly measure the effects of your changes and tests. Sure, you could extrapolate the data. We’ve shown how to do this in our beginners’ and advanced guides to measuring the impact of PVO.
The downside of all these measurement methods is that they can’t match the level of precision you’d get from getting the data directly from the platforms.
Spotify for Podcasters’ latest update is a gigantic step in the right direction. On the surface, you might not think much of it. They just added a new metric: impressions. In reality, it’s kind of a big deal.
So many new possibilities open up to podcasters, thanks to this update. We’re excited to explore them all with you.