Podcast algorithms on platforms like Spotify and Apple Podcasts play a crucial role in determining which shows get recommended to listeners. While these algorithms aren’t fully transparent, we’ve identified key patterns that can help you optimize your podcast for better visibility and growth.

How Podcast Algorithms Work

At their core, podcast algorithms prioritize content that keeps listeners engaged on their platforms. This means shows with higher completion rates, frequent downloads, and growing subscriber bases tend to rank better. The algorithms are designed to surface content that listeners are most likely to enjoy based on their listening history and engagement patterns.
One of the most important factors is listener retention. Platforms track not just how many people download your episode, but how much of it they actually listen to. A podcast with 1,000 downloads but where most listeners drop off after 10 minutes won’t perform as well in recommendations as a show with 500 downloads where listeners stay engaged through the entire episode.

How Podcast Algorithms Work

Consistency in your publishing schedule sends positive signals to podcast platforms. Whether you release weekly or bi-weekly, maintaining a predictable schedule helps algorithms understand when to promote your content. Many successful podcasters find that releasing episodes on the same day and time each week leads to better algorithmic performance.

Encouraging audience engagement is another powerful strategy. When listeners subscribe, leave reviews, or share your episodes.