A file being requested or downloaded does not show how long someone listened. A listener may stop early, play later, skip around or never begin. Retention asks about listening over time, so it needs a measurement designed for that question.
Look for the actual event definition
Read the analytics documentation and identify whether the report includes listening-progress or completion events. If it only reports downloads, keep your conclusions about delivery activity. Do not create a retention percentage by dividing one unrelated total by another.
A media server may receive requests for different byte ranges. Those requests support file delivery, but they are not a simple timeline of human attention. Network retries and player behavior can complicate the picture further.
If a platform provides a genuine retention view, learn its scope. It may cover only that platform's listeners rather than the entire audience across every app.
Use other evidence for an editorial question
When deciding whether an introduction is too long, gather direct feedback and listen to the opening as a new listener would. A structured review of several episodes can reveal unclear setup even when a reliable retention report is unavailable.
You can also run a limited editorial experiment and record what changed. Keep the report's uncertainty visible instead of filling the gap with a precise-looking number.
In team discussions, say which evidence supports the decision: download patterns, a platform-specific listening report or reader feedback. Each can be useful for a different question. Clear labels protect the team from optimizing an imagined measurement and make later results easier to compare honestly.