30 for 30 Podcasts

ESPN · Sports

YAPP has Smart‑Skip data for 7 episodes of 30 for 30 Podcasts. Recent episodes average 2.4 minutes of ads per 37.6‑minute episode.

3.9ad minutes per hourof runtime
6.5%of runtimeis advertising
2.4ad breaksper episode, on average
7episodesmeasured by YAPP

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Recent episodes

Ad time detected in the 7 most recent episodes of 30 for 30 Podcasts that YAPP has processed.
Episode Published Length Ad time Breaks
THE FASTEST GIRL IN SOMALIA Episode 3: The Sahara 41:23 2:36 3
THE FASTEST GIRL IN SOMALIA Episode 2: Nowhere to Run 29:13 2:18 3
THE FASTEST GIRL IN SOMALIA Episode 1: Nine Seconds 36:48 2:08 2
THE BETRAYAL OF SHOHEI OHTANI Episode 6: Footnote 37:11 2:39 3
THE BETRAYAL OF SHOHEI OHTANI Episode 5: The Feds 33:45 2:29 2
THE BETRAYAL OF SHOHEI OHTANI Episode 4: The Bookie 39:39 2:27 2
THE BETRAYAL OF SHOHEI OHTANI Episode 3: Baseball Boy 45:15 2:26 2

Ad load varies by listener. Most podcast advertising is dynamically inserted, so figures reflect ad load as observed by YAPP's processing pipeline at the time each episode was fetched, not what any individual listener hears. Methodology

Listening to 30 for 30 Podcasts with YAPP

30 for 30 Podcasts typically runs 2.4 ad breaks per episode, usually a pre-roll and one or two mid-rolls. Across the episodes we have processed, that comes to about 2.4 minutes per episode, or 3.9 minutes for every hour of listening.

YAPP maps each episode before you play it, so you get the show and not the rest of it. Because the ads are stitched in per listener, YAPP matches what you are actually hearing rather than replaying a fixed set of timestamps.

How these numbers are measured

YAPP transcribes each episode, classifies advertising segments, and refines their boundaries using audio fingerprinting. Figures cover the 7 episodes of this show that YAPP has processed. Because most podcast ads are dynamically inserted and vary by listener, these figures reflect what our pipeline observed rather than what every listener hears. Full methodology

Boundaries for 6% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.

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