Demographic and reach information are powerful tools for podcast planning. Here we'll break down how we derive demographic information and reach estimates.

Podchaser's database includes demographic and psychographic data for millions of podcasts. This data is compiled through audience analysis using public profile data and content evaluation. Additionally, we use machine learning and artificial intelligence to generate predictive demographic insights.
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This demographic information is useful for advertisers, PR agencies, networks, and more as it helps them understand their audiences better, assess engagement, and create more effective content targeting strategies.
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All of our predictive demographics are trained and refined using extensive, calibrated ground truth datasets to ensure high accuracy, consistently exceeding 90% when tested against validation sets.
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Podchaser uses real-world listener data collected from millions of podcast app users to provide powerful insights into podcast listenership. By analyzing this extensive dataset and comparing it with verified listener data from select podcasts, we create predictive algorithms that estimate overall audience reach.
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To learn more about monthly and episode reach, see ​Understanding Monthly Reach and Episode Reach on Podchaser

Listener metrics in Podchaser Pro are directional estimates. For precise measurement, we suggest contacting the podcast directly.
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Through Podchaser’s Verified Partner Program, hundreds of thousands of podcasts provide verified reach data. This information is sourced directly from publishers or networks for higher accuracy and reliability. When browsing the site, look for the verified banner on podcasts that are part of this program.
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A: The outlier banner is a disclaimer banner meant to notify users that some of the reported numbers we’ve gathered on this show look a bit different than what we were expecting based on our calculations. It could very well mean that the numbers are accurate, just unexpected!

A: The simple answer is our monthly listens statistic is an average compiled over time. If there’s been a recent uptick in listener activity or reach in a recent episode that went certifiably viral, it could take some time for the monthly listens number to reflect that bump. See more here.

A: If for any reason we do not have demographics for a podcast, we’ll show similar calculations based on several other factors to get the closest possible estimates. By looking at similar podcasts’ demographic calculations, we can provide relevant and valuable data either way.

A: This can occur due to several factors when we have limited data. One of the main reasons is when a podcast has been inactive for quite some time, making it difficult for us to determine the reach of a new episode release.
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Related article/s:
​Understanding Demographics Terms
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Feel free to message us any time via our live messenger or send us an email at [email protected]!