glossary

Listen-through rate (LTR)

measurement & ROIreviewed by the Fame team · 25 June 2026

Listen-through rate is the average proportion of an episode that listeners actually consume, expressed as a percentage of total runtime. Unlike completion rate, which is pass or fail at the end, LTR captures how far the typical listener gets.

For example, if listeners get through an average of 24 minutes of a 30-minute episode, your listen-through rate is 80 percent.

Why it matters: listen-through rate reveals exactly where attention drops off, so you can tighten formats and keep buyers engaged through the segments that actually move deals.

what good looks like

Good LTR is the bulk of your audience staying through the substance of the episode, with the drop-off point telling you exactly where the value thinned out.

how to calculate

average minutes consumed divided by total episode runtime, times 100

Best read alongside the full retention curve, not in isolation.

try it free
influenced revenue / year£1,382,400
ROI2204%
payback<1 mo
deals / year115
Strong return - this podcast pays back more than 22x its cost in influenced revenue.
cost vs influenced revenue
annual cost£60,000
influenced rev£1,382,400
what to do
  • 115 deals a year from roughly 768 podcast-influenced leads at your conversion rates.
  • The show pays for itself in about under a month of influenced revenue.
common mistakes
  • Front-loading the hook then losing people once the real content starts.
  • Treating a single low LTR episode as a verdict rather than a signal.
  • Not using the drop-off point to fix pacing or structure.
common questions
What is listen-through rate?

Listen-through rate is the average proportion of an episode that listeners actually consume, expressed as a percentage of total runtime. Unlike completion rate, which is pass or fail at the end, LTR captures how far the typical listener gets.

How is LTR different from completion rate?

Completion rate measures only whether someone reached the end. LTR measures the average depth of consumption across all listeners, so it is more sensitive to mid-episode drop-off.

How do you use LTR to improve a show?

Look for consistent cliff edges in the retention curve, then restructure intros, ad reads, or tangents that sit at those points.

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