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I Thought You'd Like to Know podcast artwork

society

I Thought You'd Like to Know

society · EN

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About this Podcast:

A show featuring very interesting people who have a message for you.

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

Public web form

Booking probability

34%

Guest openness

Selective

80/100
Required Score

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Questions about I Thought You'd Like to Know

What has I Thought You'd Like to Know covered recently?

Recent episodes include "Lynda Rozell with Marcus Peter on Ave Maria in the Afternoon on Return to Me: Visits to the Tabernacle (October 20, 2026)" (21 October 2026, 20 minutes), "Michael Brennan with William Ayles on The Catholic Charismatic Renewal, Revisited (July 23, 2026)" (24 July 2026, 2 minutes), and "All Kinds of Catholic - 110_ After receiving communion, my heart felt like it was burning" (14 July 2026, 26 minutes).

How often does I Thought You'd Like to Know publish?

I Thought You'd Like to Know publishes roughly every two weeks, with episodes averaging 48 minutes across 170 episodes.

How hard is it to get booked on I Thought You'd Like to Know?

Booking probability for I Thought You'd Like to Know is 34%, and the host is rated Selective on guests. I Thought You'd Like to Know requires a Pod Score of 80 or higher. I Thought You'd Like to Know's contact route on record: public web form.

Who should pitch I Thought You'd Like to Know?

The strongest fits for I Thought You'd Like to Know are Religion & Faith. I Thought You'd Like to Know has a society audience.

About the host

I Thought You'd Like to Know is a society podcast with 170 episodes published.

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Recent episodes

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Recent guests

Recent guests on I Thought You'd Like to Know. Study who booked and why before you pitch.

Best industries to pitch I Thought You'd Like to Know for

PitchCentric classifies I Thought You'd Like to Know under these industries. Guests from them are the closest fit, and each links to the best podcasts in that industry.

Similar Podcasts

Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.

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