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LA PICAELLA podcast artwork

arts

LA PICAELLA

arts · ES-ES

Apple PodcastsWebsite

About this Podcast:

La Picaella es el podcast de arroz La Fallera donde siempre hay arroz, buen rollo y un invitado especial dispuesto a pasarlo pipa 🥘🥳 Aquí venimos a comer paella, a charrar y a reírnos de todo lo que pasa dentro y fuera de El Casal de la Fallera. Si te gusta el salseo, las historias sabrosas y disfrutar de una buena sobremesa, este es tu sitio. ¡Benvingut a La Picaella!

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

26%

Guest openness

Selective

80/100
Required Score

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Questions about LA PICAELLA

What is LA PICAELLA about?

La Picaella es el podcast de arroz La Fallera donde siempre hay arroz, buen rollo y un invitado especial dispuesto a pasarlo pipa 🥘🥳 Aquí venimos a comer paella, a charrar y a reírnos de todo lo que pasa dentro y fuera de El Casal de la Fallera.

What has LA PICAELLA covered recently?

Recent episodes include "#08 La Picaella - Nadie más pureta que La Forte" (19 October 2026, 45 minutes), "#07 La Picaella - Lo mejor de los dos mundos con Samantha" (22 June 2026, 52 minutes), and "#07 La Picaella - Lo mejor de los dos mundos con Samantha" (22 June 2026, 52 minutes).

How often does LA PICAELLA publish?

LA PICAELLA publishes roughly monthly, with episodes averaging 47 minutes across 8 episodes.

How hard is it to get booked on LA PICAELLA?

Booking probability for LA PICAELLA is 26%, and the host is rated Selective on guests. LA PICAELLA requires a Pod Score of 80 or higher. LA PICAELLA's contact route on record: public web form.

About the host

LA PICAELLA is an arts podcast with 8 episodes published.

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Recent episodes

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Recent guests

Recent guests on LA PICAELLA. Study who booked and why before you pitch.

Best industries to pitch LA PICAELLA 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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