Hunting the Suicide Salesman
CBC · True Crime
YAPP has Smart‑Skip data for 12 episodes of Hunting the Suicide Salesman. Recent episodes average 1.4 minutes of ads per 49.8‑minute episode.
Listen to the good stuff in Hunting the Suicide Salesman
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Recent episodes
| Episode | Published | Length | Ad time | Breaks |
|---|---|---|---|---|
| Episode 5: ‘What if it's this simple?’ | 52:08 | 1:23 | 3 | |
| Episode 4: One Star Reviews | 39:52 | 2:01 | 4 | |
| Episode 3: Greenberg | 43:15 | 1:29 | 4 | |
| Episode 2: The Sting | 46:28 | 1:59 | 4 | |
| Episode 1: ‘Don't touch the glass’ | 48:58 | 2:27 | 4 | |
| Hunting Warhead is coming back, but first: Real talk on high-risk reporting | 49:24 | 1:01 | 2 | |
| Episode 6: Fallout | 55:14 | 1:01 | 2 | |
| Episode 5: Becoming Warhead | 1:07:10 | 1:01 | 2 | |
| Episode 4: Impact Statement | 49:04 | 1:01 | 2 | |
| Episode 3: Operation Artemis | 45:40 | 1:02 | 2 | |
| Episode 2: Rude Awakening | 45:28 | 0:59 | 2 | |
| Episode 1: Hacker vs. Hacker | 55:29 | 1:46 | 3 |
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 Hunting the Suicide Salesman with YAPP
Hunting the Suicide Salesman typically runs 2.8 ad breaks per episode, usually a pre-roll and one or two mid-rolls. Across the episodes we have processed, that comes to about 1.4 minutes per episode, or 1.7 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 12 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 34% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.
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