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Swiftly Spoken

music · EN

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About this Podcast:

A fan made Taylor Swift podcast in which we break down her lyrics, deep dive into full album retrospectives and theorise about what may be coming next.New episode every other Tuesday! Stay tuned for bonus episodes, announced on our Instagram (@swiftlyspokenpodcast)

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

34%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Swiftly Spoken

What is Swiftly Spoken about?

A fan made Taylor Swift podcast in which we break down her lyrics, deep dive into full album retrospectives and theorise about what may be coming next. New episode every other Tuesday! Stay tuned for bonus episodes, announced on our Instagram (@swiftlyspokenpodcast)

What has Swiftly Spoken covered recently?

Recent episodes include "Revising Taylor Swift’s Chaotic Lover Tracklist" (8 September 2026, 45 minutes), "Taylor Swift's Return to Country, I Knew It, I Knew You and Debut's 20th Anniversary" (25 June 2026, 40 minutes), and "Taylor Swift's Return to Country, I Knew It, I Knew You and Debut's 20th Anniversary" (25 June 2026, 40 minutes).

How often does Swiftly Spoken publish?

Swiftly Spoken publishes roughly monthly, with episodes averaging 48 minutes across 105 episodes.

How hard is it to get booked on Swiftly Spoken?

Booking probability for Swiftly Spoken is 34%, and the host is rated Selective on guests. Swiftly Spoken requires a Pod Score of 80 or higher. Swiftly Spoken's contact route on record: verified email.

About the host

Swiftly Spoken is a music podcast with 105 episodes published.

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Recent episodes

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Recent guests

Recent guests on Swiftly Spoken. Study who booked and why before you pitch.

Best industries to pitch Swiftly Spoken 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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