Betrayal Weekly
iHeartPodcasts | Glass Podcasts · Society & Culture
YAPP has Smart‑Skip data for 10 episodes of Betrayal Weekly. Recent episodes average 9.6 minutes of ads per 56.4‑minute episode.
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| Kenzie | Betrayal Weekly | 55:03 | 10:57 | 6 | |
| Chad | Betrayal Weekly | 1:13:09 | 10:42 | 6 | |
| Amber | Betrayal Weekly | 1:22:07 | 14:50 | 5 | |
| Eileen | Betrayal Weekly | 55:10 | 9:57 | 5 | |
| Introducing: The Betrayal of Shohei Ohtani - "The Letter O" | EP 1 | 23:04 | 3:17 | 1 | |
| Leslie | Betrayal Weekly | 1:10:20 | 14:01 | 6 | |
| Behind the Scenes of HULU’s Betrayal: Dirty Secrets | BONUS | Karoline's Story | 14:53 | 3:49 | 2 | |
| Devon | Betrayal Weekly | 59:43 | 11:37 | 6 | |
| Samantha | Betrayal Weekly | 1:06:36 | 6:10 | 5 | |
| Leona | Betrayal Weekly | 1:04:08 | 10:39 | 5 |
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 Betrayal Weekly with YAPP
Betrayal Weekly runs 4.7 ad breaks in a typical episode, so there is a fair amount between you and what you came for. Across the episodes we have processed, that comes to about 9.6 minutes per episode, or 10.2 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 10 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 7% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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