Podchaser

🦃 HAPPY THANKSGIVING 🥧 We asked our Client Success Team what they're thankful for this year Hear from: Juliett (Jules) - Sr CSM Jonathan - CSM Sydney - Head of Client Success Wishing you and yours the best 🧡🤎

🆕 Top Podcast Monetization Service Providers and Platforms: An Industry Insider’s Guide This article will explore monetization service providers, which offer expert, hands-on support, and monetization platforms, which provide scalable, tech-driven solutions for podcasters to manage revenue on their own. Whether you’re a seasoned network or an individual podcaster just starting, this guide will help you understand the key players and how they fit into your monetization strategy. 🔗👇 #podcasts #creatoreconomy #monetization

ICYMI: October's Podchaser 25 dropped last week Get it 👇

New Podchaser 25 for October  is out! Podchaser 25 is the premier ranker of newly released podcasts. Each of these 25 podcasts have released their first episode within the past 90 days – giving you a never-before-seen snapshot of the latest podcast trends, up-and-coming stars, and new releases. https://lnkd.in/eBx9TQ57

Interesting tidbit--Podchaser's political skew model has an overall accuracy rate of 96% when benchmarked against validation datasets. By combining AI-driven analysis with human verification, we gain a 57% improvement over standard predictions from general models, offering the reliability media and PR professionals need to confidently align campaigns with relevant audiences.

Interesting tidbit--Podchaser's political skew model has an overall accuracy rate of 96% when benchmarked against validation datasets. By combining AI-driven analysis with human verification, we gain a 57% improvement over standard predictions from general models, offering the reliability media and PR professionals need to confidently align campaigns with relevant audiences.

🔵 Podcast political skew now LIVE in Podchaser Pro! 🔴 Background Politics Increasingly Matter: Political bias heavily influences media consumption. Brands are increasingly aligning themselves with specific values. With identity/tribalism rising in the US, the need for politically aware content targeting will only increase. → Paid media: Advertisers and brands can now target podcasts by political bias for more precise audience engagement. Brands can align with political ideologies or ensure broader reach via neutral podcasts. → Earned media: PR professionals can pitch guests to podcasts that align with their audience’s political leanings, increasing the chances of engagement. → Monitoring: Political skew helps contextualize mentions and trends in word-of-mouth media, especially around news. (data report dropping soon 👀) → Value Beyond Election Season: While critical for political campaigns, political awareness matters year-round for brands focused on building trust and engagement, not just during election cycles. 🧿 How the feature works Scope: English podcasts with a Power Score, top country as the USA, and at least five episodes in the last two years. Why: This gives us enough data to accurately predict and aligns our estimates to US politics, while also covering basically all relevant podcasts to our users. Methodology: A combination of LLMs, AI models, and political datasets is used to predict left, right, or neutral bias and the degree of lean. Buckets: ⦿ Unavailable or “–” ⦿ Neutral or Mixed ⦿ Low Left/Right Skew ⦿ Medium Left/Right Skew ⦿ High Left/Right Skew Intentionally Large Neutral Zone: Because politics is a sensitive topic and hotly debated, we wanted to make sure our model had high confidence. To achieve this, we made the threshold for being seen as left or right high. The result is a more trustworthy score with edge cases more likely to be defined as neutral or mixed. Skew definition: Skew indicates the degree of partisanship, not the extremity of the podcast’s political stance. For example, a podcast that occasionally touches on politics may have a low skew, while one that heavily discusses politics might have a high skew. S/o to the Podchaser product team for the incredible execution and strengthening the platform's stance as THE podcast intelligence engine. Want to get a demo? Sign-up below 👇 #podcasts #politics #media

Campaigns are tapping into the long-form medium of podcasting, allowing breathing room for both policies and personalities. This trend will only continue to grow, so we've introduced a new AI-powered capability to discover a podcast audience based on political skew across over 500,000 podcasts. More details below!

🆕 Podchaser Launches Industry-First Political Skew Capability Across 500,000 Podcasts October 28, 2024 - Podchaser, the world's most comprehensive podcast database, today announced the release of its pioneering Political Skew Filter, a powerful new data tool designed to help advertisers, PR professionals, and brands align their media strategies with the political leanings of podcasts. The Political Skew Filter, which debuts on Podchaser’s API, enables users to view and filter podcasts by political lean, offering a new level of precision in media targeting. With the U.S. political landscape becoming an increasingly important factor in media consumption, brands and PR professionals are seeking ways to ensure their message resonates with the values of their target audience. The Political Skew Filter helps fill this gap, categorizing podcasts as "Left," "Right," or "Neutral" based on sophisticated AI models that analyze each show’s content, metadata, and recent episodes. “This capability represents a significant leap forward in how brands and advertisers approach audience engagement through podcasting,” said Bradley Davis, Podchaser’s CEO. “Political leanings are deeply personal, and aligning media to these values can lead to a stronger bond with listeners. Marrying our dataset with the latest AI capabilities has enabled an entirely new depth of podcast discovery for our clients.” Key Features and Availability: → API Access: Available to API clients with a dedicated permission, the Political Skew Filter can seamlessly integrate into existing data workflows, allowing advertisers to filter or search for shows by political lean. → Political Bias Spectrum: The filter categorizes podcasts into five distinct buckets—Neutral, Low Left/Right Skew, Medium Left/Right Skew, and High Left/Right Skew—ensuring a nuanced approach that respects the complex landscape of U.S. political discourse. → Pro User Access: All Podchaser Pro users will be able to view political skew data in podcast insights tabs and table views, complete with filtering capabilities for easy access (coming soon). While Podchaser is the first to provide a dedicated Political Skew Filter, this feature isn’t just for election season. With brands increasingly aligning with audience values year-round, the Political Skew Filter serves as a robust, reliable tool for ensuring that messaging aligns with podcast hosts and their audiences. For more information, contact: Cole Raven, Chief Revenue Officer [email protected]