PodAnalyst

PodAnalyst pulls Apple, Spotify and YouTube performance into one workspace and emphasizes listener retention rather than raw download counts alone. Episode-level curves show where audiences leave, and Radar surfaces proactive notes when patterns change.

Iris is the conversational layer: ask why an episode lost listeners in the first five minutes and get an answer tied to your connected data, not generic podcast advice. That makes PodAnalyst closer to a analyst seat than a chart export.

It is for podcasters who already publish consistently and want to improve content based on evidence. Sponsorship teams may also use clearer retention stories when pitching, though this is not a certified measurement vendor for every ad contract.

It is not a host, clipper or transcript tool. You still need the rest of your stack. Smaller shows can stay on the free tier if they remain under the listener threshold; larger shows should confirm current paid pricing because beta early-bird rates may expire.

Compare with Podlytic if you need historical CSV vaulting from old hosts. Compare with CoHost or OP3 if you want lightweight download tracking without platform logins. PodAnalyst fits when retention and cross-platform engagement are the questions you ask every week.

This listing reflects Podnews launch materials, press interviews and the public marketing site, not a long-term hands-on benchmark against host-native analytics.