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Ordineroli Speaking

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Ordineroli Speaking

 4.8 via 576 ratings in Apple Podcasts and Podcast Addict
A self improvement podcast from Neroli Meadows
Website: https://www.instagram.com/ordineroli_speaking/

Celebrating resilience in sport - the human stories behind the stars. Hosted & produced by sports journalist Neroli Meadows.

Thanks to Woody Pitney for his track “Love Me Like You Wanna Be Loved“ & Ryan Pierse for the cover photo.

© 2024 Neroli Meadows · more infoArtwork and data is from the podcast’s open RSS feed; we link directly to audio · Read our DMCA procedure
Omny Studio
Hosted on Omny Studio and measured by Chartable, Podtrac and Nielsen
This podcast may use tracking and attribution and dynamic content insertion

Stats: Statistics are produced by Omny Studio, Chartable and Podtrac to help Ordineroli Speaking 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. Omny Studio, Chartable and Podtrac are IAB v2 certified.

Tracking and attribution: Omny Studio, Chartable 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 Ordineroli Speaking later visited the website of an advertiser; or they may track that a device that listened to Ordineroli Speaking also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Omny Studio 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. Ordineroli Speaking may do this for advertising or for other forms of content, like news stories.

Ordineroli Speaking 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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