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Par-Impar

Hosted by esRadio · tv · ES

Website

About this Podcast:

Par Impar son Juanma González y Dani Palacios, que comentan todas las películas, series y otros aspectos de cultura popular que se te puedan ocurrir. Todo con invitados, música, y mucho sentido del humor.

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

43%

Guest openness

Selective

80/100
Required Score

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Questions about Par-Impar

What is Par-Impar about?

Par Impar son Juanma González y Dani Palacios, que comentan todas las películas, series y otros aspectos de cultura popular que se te puedan ocurrir. Todo con invitados, música, y mucho sentido del humor.

What has Par-Impar covered recently?

Recent episodes include "'La Novia de Re-Animator' (1990) con Carles Torrens. Un Apocalipsis Z de amor zombi" (30 October 2026, 83 minutes), "'El Justiciero de la Noche' (Death Wish 3) con Tirso Calero: el oficio perdido de Michael Winner" (23 October 2026, 88 minutes), and "De palique con José Luis Garci y Noemí Guillermo: vendió acciones de Danone para su película autobiográfica" (16 October 2026, 78 minutes).

How often does Par-Impar publish?

Par-Impar publishes roughly weekly, with episodes averaging 83 minutes across 334 episodes.

How hard is it to get booked on Par-Impar?

Booking probability for Par-Impar is 43%, and the host is rated Selective on guests. Par-Impar requires a Pod Score of 80 or higher. Par-Impar's contact route on record: public web form.

About the host

Par-Impar is a tv podcast with 334 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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Recent guests

Recent guests on Par-Impar. Study who booked and why before you pitch.

Best industries to pitch Par-Impar 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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