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Dear Alissa

Hosted by Alissa Anglis · society · EN

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About this Podcast:

here we strive to bring confidence from within through fitness and self discovery.not only confidence within ourselves, but confidence in health/wellness, relationships, and sex. dear alissa promotes loving and appreciating who we were, who we are, and who we strive to be.

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 Dear Alissa

What is Dear Alissa about?

here we strive to bring confidence from within through fitness and self discovery.not only confidence within ourselves, but confidence in health/wellness, relationships, and sex. dear alissa promotes loving and appreciating who we were, who we are, and who we strive to be.

Who hosts Dear Alissa?

Dear Alissa is hosted by Alissa Anglis. The show has published 132 episodes to date.

What has Dear Alissa covered recently?

Recent episodes include "wasted time is NOT real" (1 October 2026, 13 minutes), "a lil pick me up;)" (24 September 2026, 24 minutes), and "things that social media doesn’t tell you" (29 June 2026, 14 minutes).

How often does Dear Alissa publish?

Dear Alissa publishes roughly every two weeks, with episodes averaging 24 minutes across 132 episodes.

How hard is it to get booked on Dear Alissa?

Booking probability for Dear Alissa is 34%, and the host is rated Selective on guests. Dear Alissa requires a Pod Score of 80 or higher. Dear Alissa's contact route on record: public web form.

About the host

Alissa Anglis hosts Dear Alissa, a society podcast with 132 episodes published.

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Recent episodes

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Recent guests

Recent guests on Dear Alissa. Study who booked and why before you pitch.

Best industries to pitch Dear Alissa 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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