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society

Dark Stories

society · FR

Apple PodcastsWebsite

About this Podcast:

🎧 True Crime en français. Des histoires vraies et glaçantes. Des meurtres sordides, des crimes familiaux, des disparitions mystĂ©rieuses, des tueurs en sĂ©rie
 Chaque semaine, je vous propose deux enquĂȘtes criminelles.

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

35%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Dark Stories

What is Dark Stories about?

🎧 True Crime en français. Des histoires vraies et glaçantes. Des meurtres sordides, des crimes familiaux, des disparitions mystĂ©rieuses, des tueurs en sĂ©rie
 Chaque semaine, je vous propose deux enquĂȘtes criminelles.

What has Dark Stories covered recently?

Recent episodes include "4 HISTOIRES VRAIES, PIRES QU’UN FILM D’HORREUR" (30 October 2026, 150 minutes), "Elisa Claps: Elle part à la MESSE et promet de revenir vite, elle ne REVIENT jamais" (28 October 2026, 58 minutes), and "Affaire des fillettes de Saitama: 4 PETITES FILLES ont disparu en 10 MOIS" (27 October 2026, 62 minutes).

How often does Dark Stories publish?

Dark Stories publishes roughly a few times a week, with episodes averaging 66 minutes across 171 episodes.

How hard is it to get booked on Dark Stories?

Booking probability for Dark Stories is 35%, and the host is rated Selective on guests. Dark Stories requires a Pod Score of 80 or higher. Dark Stories's contact route on record: verified email.

About the host

Dark Stories is a society podcast with 171 episodes published.

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

Recent episodes

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Recent guests

Recent guests on Dark Stories. Study who booked and why before you pitch.

Best industries to pitch Dark Stories for

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

societystrong

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

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