Built to Sell Radio

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Built to Sell Radio

 4.8 via 356 ratings in Apple Podcasts, Spotify, Podchaser and Podcast Addict
Data: Rephonic
A business podcast from John Warrillow
Website: http://builttosell.com/radio

Built to Sell Radio is a weekly podcast for business owners interested in selling a business. Each week, we ask an entrepreneur who has recently sold a business why they decided to sell their business, what they did right and what mistakes they made through the process of exiting their business. Built to Sell Radio is the ultimate insider’s guide to approaching the most important financial transaction of your life.

© Built to Sell Inc. · 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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Stats: Statistics are produced by Libsyn and Chartable to help Built to Sell Radio 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. Libsyn is IAB v2 certified. Here is more detail about podcast statistics.

Tracking and attribution: Chartable 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 Built to Sell Radio later visited the website of an advertiser; or it may track that a device that listened to Built to Sell Radio also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Libsyn 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. Built to Sell Radio may do this for advertising or for other forms of content, like news stories.

Built to Sell Radio 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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