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Noches de Terror

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Noches de Terror

 4.5 via 155 ratings in Apple Podcasts
Data: Rephonic
A true crime and fiction podcast in Spanish from Noches de Terror
Website: https://www.spreaker.com/show/noches-de-terror_9

Noches de Terror es un podcast dedicado a aquellos temas o situaciones paranormales que rodean la vida diaria, cosas que podrían pasarte a ti en cualquier momento.

Todos nuestros links https://linktr.ee/Nochesdeterror

¡Apoya el podcast!

© Noches de Terror MX · more infoArtwork and data is from the podcast’s open RSS feed; we link directly to audio · Read our DMCA procedure
Megaphone
Hosted on Megaphone and measured by Nielsen
This podcast may use tracking and attribution and dynamic content insertion

Stats: Statistics are produced by Megaphone to help Noches de Terror to understand how many downloads it is getting, or how many people are listening. Your device’s IP address and user agent is used to help calculate this figure. Megaphone is IAB v2 certified. Here is more detail about podcast statistics.

Tracking and attribution: Megaphone and Nielsen or their partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - they may spot a device that downloaded an episode of Noches de Terror later visited the website of an advertiser; or they may track that a device that listened to Noches de Terror also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Megaphone may use limited data that they know about you - the device you’re using, the approximate location you’re in, or other data that can be derived from this, like the current weather forecast for your area - to change parts of the audio. Noches de Terror may do this for advertising or for other forms of content, like news stories.

Noches de Terror is able to use the above tools since its podcast host or measurement company offers this service. It doesn’t mean that this individual podcast uses them, or has access to this functionality. We use open data.

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