The MORE Show

Justin Colby, Bleav, Justin Colby · Business

YAPP has Smart‑Skip data for 7 episodes of The MORE Show. Recent episodes average 2.5 minutes of ads per 44.7‑minute episode.

3.3ad minutes per hourof runtime
5.5%of runtimeis advertising
3.4ad breaksper episode, on average
7episodesmeasured by YAPP

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Recent episodes

Ad time detected in the 7 most recent episodes of The MORE Show that YAPP has processed.
Episode Published Length Ad time Breaks
Your Title Company Is Killing Your Deals, Here's Why | Ash Selle 30:37 0:55 1
Why There Are No Great Markets, Only Great Timing | Neal Bawa 42:03 3:31 3
How to Build Authority That Makes Business Come to You | Dana Flanagan 51:43 5:05 5
Why This 27 Year Old Quit House Wholesaling to Make $2M Flipping Land | Caleb Milobsky 37:23 3:14 5
From Homeless and on Drugs to Raising Over a Billion Dollars | John Fernando 1:02:05 2:08 4
How to Protect Your Assets Before You Lose Everything | Hillel Presser 54:00 2:13 5
Your AI Agent Strategy Is Costing You Money | Bill Beck 35:09 0:14 1

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 The MORE Show with YAPP

The MORE Show typically runs 3.4 ad breaks per episode, usually a pre-roll and one or two mid-rolls. Across the episodes we have processed, that comes to about 2.5 minutes per episode, or 3.3 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 56% of detected segments were refined by audio fingerprinting; the rest rest on transcript timing and are less precise.

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