*The Damaging Long-Term Impact of Podcast Replay Statistics on Listener Engagement

7 Dec 2025 · 44 min
Episode

7 Dec 2025 · 44 min

0:00

Hosts Tracy and Tom Hazzard analyze whether republishing old podcast episodes (replays/reruns) harms listener engagement. Tracy describes the methodology (baseline = six-month prior average; adjustments for growth trajectories; comparison of original episode performance vs. replayed performance and six-month post-replay totals) and reports quantitative findings: during replay periods many episodes lost listeners (average initial-download loss ~13.26%; some losses up to 92%; a few exceptions showed small gains <3%). Examining six months after replaying, shows experienced an average longer-term drop of ~10.65% (≈10%). They discuss causes (changes in automatic download behavior, failure to label replays, alienating loyal/binge listeners), sample sizes (≈30 episodes on one show, 20–25 on others), and offer mitigation: mark replays clearly, publish short bonus/updates instead, keep publishing at least every three weeks, batch solo episodes, or provide transitional updates before replaying. They warn networks that prioritize short-term ad revenue may encourage replays despite long-term audience loss.

Questions this episode answers

August 13, 2025.

Approximately 13.26% (average initial-download loss during the replay period).

Some episodes lost as much as 92%; many were around 20–25% loss; a few gained up to ~3%.

About 10.65% (reported as "almost 11%").

Roughly ~30 episodes on one show and 20–25 episodes across a couple of other shows.

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