Podchaser, the podcast industry’s intelligence engine, today announced enhancements to its AI-powered Predictive Demographics feature, which improves podcast audience targeting for advertisers across three million English language podcasts. Building on its industry-first technology announced last fall, Podchaser leverages AI, as opposed to first-party data, to analyze the language spoken within a podcast to predict audience attributes.
With this latest update, Podchaser extends its AI-driven prediction model to include which listeners are parents, the country in which they live, and their education level for all English podcasts. These additions complement existing age and gender models, offering advertisers more comprehensive targeting capabilities when building data-driven campaigns. Since launching in October of 2023, 84% of Podchaser clients have utilized Predictive Demographic data.
“Podcasts pack a unique punch – rich, diverse content with dedicated fan bases. But until now, advertisers were limited in the available audience data, which historically has made targeting a challenge across many campaigns.
With this latest update, Podchaser extends its AI-driven prediction model to include which listeners are parents, the country in which they live, and their education level for all English podcasts. These additions complement existing age and gender models, offering advertisers more comprehensive targeting capabilities when building data-driven campaigns. Since launching in October of 2023, 84% of Podchaser clients have utilized Predictive Demographic data.
“Podcasts pack a unique punch – rich, diverse content with dedicated fan bases. But until now, advertisers were limited in the available audience data, which historically has made targeting a challenge across many campaigns.
- 3/27/2024
- Podnews.net
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