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WORT Local News podcast artwork

Commentary

WORT Local News

Commentary · EN

5 recent guestsAudience: 7
Apple PodcastsWebsite

About this Podcast:

Breaking news and feature stories straight from the WORT News team’s underground lair in Madison, Wisconsin. New episodes every Monday through Thursday at 7:30 PM. Also available live on 89.9 FM from 6:00-7:00 PM and online anytime at WORTFM.org.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Verified email

Booking probability

49%

Guest openness

Selective

Verified email on file
86/100
Required Score

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Questions about WORT Local News

What is WORT Local News about?

Breaking news and feature stories straight from the WORT News team’s underground lair in Madison, Wisconsin. New episodes every Monday through Thursday at 7:30 PM.

What has WORT Local News covered recently?

Recent episodes include "Planning for John Nolen considers safety, traffic" (30 October 2026, 49 minutes), "2024 referendum keeps MMSD's budget balanced, for now" (29 October 2026, 50 minutes), and "After firing the police monitor, Madison alders re-examine oversight" (28 October 2026, 51 minutes).

How often does WORT Local News publish?

WORT Local News publishes roughly daily, with episodes averaging 50 minutes.

How hard is it to get booked on WORT Local News?

Booking probability for WORT Local News is 49%, and the host is rated Selective on guests. WORT Local News requires a Pod Score of 86 or higher. WORT Local News's contact route on record: verified email.

About the host

WORT Local News is a commentary podcast.

Verified host email: ████████@████.comSign in to unlock →

Recent episodes

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Recent guests

Recent guests on WORT Local News. Study who booked and why before you pitch.

Best industries to pitch WORT Local News for

Based on semantic analysis of episode topics and host coverage, this podcast is a strong guest fit for executives in:

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Industry fit is computed by PitchCentric using vector embeddings of the podcast's episode catalog.

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