Womensync podcast
Womensync podcast är podcasten för vår tids kvinnor. Det är en hälsopodd som tar hänsyn till en ny dimension av hälsa som tidigare inte lyfts i hälsosammanhang – vad hälsa betyder utifrån en kvinnlig biologi.
Varje vecka gästas podden av någon av Sveriges främsta experter och profiler inom kvinnohälsa och holistisk hälsa. I konversationerna lyfts allt det där som man önskar att man hade vetat om när det kommer till den kvinnliga biologin, vad som påverkar den och hur vi kan må som bäst. Du får också en större förståelse för hur tankar, känslor samt hur feminin och maskulin energi har en påverkan på din kropp och hur du kan använda detta till din fördel. Oavsett om du har utmaningar kopplat till menscykeln eller bara vill få en djupare relation med dig själv och din kropp är det här podden där du får verktygen.
Womensync är grundat av Susanna Moen och Sara Norrbom och är ett koncept inom livsstil som förmedlar kunskap, inspiration och produkter som hjälper kvinnor att må så bra som möjligt genom alla skeenden i livet.
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This podcast may use tracking and attribution and dynamic content insertion
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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 Womensync podcast later visited the website of an advertiser; or it may track that a device that listened to Womensync podcast 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. Womensync podcast may do this for advertising or for other forms of content, like news stories.
Womensync podcast 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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