MEDIA
PodAnalyst in the news. Read about our journey, mission, and the future of podcast analytics.
FEATURED COVERAGE
Recent interviews and media appearances
PodAnalyst now measures more than 600 podcasts, 100,000 episodes and 40 million unique listeners. The release adds YouTube video performance — led by engaged views, the counterpart to engaged listeners — and Readout, a polished, ready-to-share report Iris builds on request.
George Lejnine joins Courtney Elmer to break down what a retention curve reveals about why listeners stay, skip ahead, or drop off. The conversation covers the opener mistake that drives new listeners away, pre-roll ads that cost listeners, the difference between a skip and a permanent departure, and why waiting 7–14 days before judging an episode matters.
Drawing on data from more than 100,000 episodes, George Lejnine explains what “good” podcast retention actually looks like, why higher download counts don't necessarily mean better performance, how to diagnose an underperforming episode, and when a smaller audience is a positive indicator.
Podnews covers the PodAnalyst v3 release and its two new features: Radar, which watches your show round the clock to alert you to things worth a closer look, and Iris, which answers questions directly about your podcast performance. Iris can be connected to your own Claude or ChatGPT account.
PodAnalyst is featured in this episode walking through real-time podcast analytics decoding, showcasing how creators can interpret their listener and retention data live.
George Lejnine discusses PodAnalyst's emphasis on first-party data from Apple, Spotify, and YouTube over traditional download metrics, explaining how listener retention curves help creators identify drop-off points and optimize their content.
George Lejnine discusses PodAnalyst's approach to podcast analytics, focusing on listener retention curves and consumption data rather than traditional download metrics. The interview covers how the platform leverages telemetry from Apple and Spotify to provide directionally correct representations of show performance.
Dave Jackson provides a hands-on review of PodAnalyst, showcasing how the platform aggregates podcast performance data by connecting directly to Apple Podcasts and Spotify statistics for centralized stat tracking.
Cody McLaughlin profiles George Lejnine and PodAnalyst's focus on listener behavior over vanity metrics, featuring the Drop-Off Detector and retention checkpoints that reveal production weaknesses.
The Podcast Top 5 covers PodAnalyst's launch as a new analytics tool unifying Apple, Spotify, and YouTube data, highlighting the free tier for shows under 1,000 listeners.
PodAnalyst launches globally to consolidate performance metrics from multiple podcast distribution channels into a single dashboard, addressing creator frustration with fragmented data across platforms.
Media Inquiries
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