Murder With My Husband
OH NO MEDIA · True Crime
YAPP has Smart‑Skip data for 9 episodes of Murder With My Husband. Recent episodes average 7.8 minutes of ads per 57.7‑minute episode.
Listen to the good stuff in Murder With My Husband
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| 339. The Billboard That Caught a Killer: The Murder of Ali Kemp | 53:30 | 7:35 | 4 | |
| 338. The Double Wedding Killing - The Murder of Thad Reynolds | 56:40 | 8:20 | 5 | |
| 337. The Unsuspected Killer - The Murder of Savannah Anderson | 52:02 | 0:12 | 2 | |
| 336. The Officer’s Secret | 1:00:21 | 6:45 | 4 | |
| 335. The Aliso Viejo Spa Bombing - The Murder of Ildiko Krajnyak | 1:04:12 | 5:49 | 5 | |
| 334. The Amish Murder of Barbara Weaver | 1:04:04 | 11:09 | 5 | |
| 333. The Desert Trap: The Murder of Erin Corwin | 59:18 | 10:33 | 4 | |
| 332. The Deadly Rejection - The Murder of Corey Wieneke | 55:13 | 8:08 | 5 | |
| 331. The Cold Fusion Murder Conspiracy - Eugene Mallove | 53:32 | 11:15 | 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 Murder With My Husband with YAPP
Murder With My Husband runs 4.3 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 7.8 minutes per episode, or 8.1 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 9 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 11% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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