PodcastListenerDropoffMap
Analytics dashboard that shows exactly where podcast listeners stop listening, helping creators identify content bottlenecks and optimize episode structure.
The Problem
Podcast creators only know how many downloads they get, not where listeners actually drop off. A creator might lose 40% of their audience at the 12-minute mark but have no idea why—they can't see if it's a boring section, bad audio, or tangent. This forces them to guess at improvements instead of data-driven edits.
Target Audience
Independent podcast creators and small networks (5-500 episodes) using Anchor, Transistor, or Buzzsprout who want to optimize retention but can't afford enterprise tools.
Why Now?
Podcast hosting platforms finally expose listener timeline data via APIs; AI tools make building data pipelines trivial; creators are desperate for retention metrics as the market saturates.
What's Missing
Existing tools focus on vanity metrics (downloads, geography) not behavioral data; creators have no cheap way to see engagement curves across episodes and identify patterns.
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