Creators Inc. Podcast

Andy Bachman · Business

YAPP has Smart‑Skip data for 6 episodes of Creators Inc. Podcast. Recent episodes average 1.6 minutes of ads per 42.1‑minute episode.

2.2ad minutes per hourof runtime
3.7%of runtimeis advertising
1.3ad breaksper episode, on average
6episodesmeasured by YAPP

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Recent episodes

Ad time detected in the 6 most recent episodes of Creators Inc. Podcast that YAPP has processed.
Episode Published Length Ad time Breaks
Ali Lopez on Boxing, Transitioning, and Going Viral 44:47 2:58 1
Ice-T EXPOSES Jewelry Heists, Coco's OF Empire, and Why He'll Never Retire 34:45 0:07 1
Markell Washington Talks Fame, Family, and Streamer University 44:30 2:41 1
Piper Rockelle EXPOSES Everything: CPS, Her Breaking Point, OnlyFans Launch & Her $20M Empire 50:18 2:41 1
Dan Fleyshman Shows You Why 100% of Influencers Are Leaving Money on the Table 54:54 0:37 2
UFC Legend Chuck Liddell Responds To CTE Claims, Peptides & The Mysterious England Bar Fight 23:31 0:23 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 Creators Inc. Podcast with YAPP

Creators Inc. Podcast carries a light ad load — typically a single break per episode. Across the episodes we have processed, that comes to about 1.6 minutes per episode, or 2.2 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 6 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 88% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.

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