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Folk on Foot

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Folk on Foot

 4.8 via 539 ratings in Apple Podcasts, Podchaser and Podcast Addict
via Rephonic
A music podcast from Matthew Bannister
Website: https://www.folkonfoot.com

“Modest people, playing gorgeous music, speaking articulately about areas they love. Fabulously calming” – one listener’s description of this multi-award-winning podcast in which Matthew Bannister goes walking with top folk musicians in the landscapes that have inspired them. “A restorative breathing space in sound” – The Telegraph. “Immaculately produced” – The Times

© 2019 All rights reserved. · more infoArtwork and data is from the podcast’s open RSS feed; we link directly to audio · Read our DMCA procedure
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This podcast may use tracking and attribution and dynamic content insertion

Stats: Statistics are produced by Acast to help Folk on Foot 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. Acast is IAB v2 certified. Here is more detail about podcast statistics.

Tracking and attribution: Acast or its partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - it may spot a device that downloaded an episode of Folk on Foot later visited the website of an advertiser; or it may track that a device that listened to Folk on Foot also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Acast 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. Folk on Foot may do this for advertising or for other forms of content, like news stories.

Folk on Foot 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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