Custom Manufacturing Industry podcast is an entrepreneurship and motivational podcast on all platforms, hosted by Aaron Clippinger. Being CEO of multiple companies including the signage industry and the software industry, Aaron has over 20 years of consulting and business management. His software has grown internationally and with over a billion dollars annually going through the software. Using his Accounting degree, Aaron will be talking about his organizational ways to get things done. Hi ...
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コンテンツは Eleos Theofilus によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Eleos Theofilus またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
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Cara Mengatur dan Menata Ulang Segmen Episode Podcast Anda #ETTalks
Manage episode 289761496 series 2754106
コンテンツは Eleos Theofilus によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Eleos Theofilus またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Now that Anchor’s podcast analytics includes episode drop-off charts metrics Spotify, here’s how to use the data to keep listeners engaged and grow your show. Trying to improve your podcast usually involves a lot of guesswork and uncertainty. It can be tough to know how many people are actually listening to your episodes at any given moment, let alone which segments are keeping people engaged. Most podcasting platforms measure listenership in download counts. This info can be helpful at a high level, but not all plays are created equal. There’s a crucial difference between someone who listens for two minutes and someone who sticks around for the entire episode. On top of that, download counts don’t do much to pinpoint whether your new ad read or episode introduction made a positive or negative impact on your audience. When Anchor introduced episode drop-off charts based on Spotify listening data, podcasters were finally able to discover the granular behavior that occurs after a listener presses ‘play.’ Episode drop-off data is the key to knowing which episodes and segments held your audience’s attention and where people stopped listening, so you can make strategic decisions about your content and learn not just howyour content is performing, but whyit’s performing the way it is. Here’s a closer look at some example data to help you interpret your own analytics and create actionable insights about your show. Everyone’s podcast is unique and not all retention curves will look like the ones below, but by understanding some common trends in episode performance, you can take more informed measures to improve your podcast and make each episode better than the last. ET akan membahas tentang "Cara Mengatur dan Menata Ulang Segmen Episode Podcast Anda #ETTalks" yang merupakan Bonus Episode ke 32 dari Season 1 tentang Podcast. Podcast "What's on my Mind by ET" bisa Anda dengarkan di IGTV, Spotify, Apple Podcast, & Anchor FM. Follow Instagram @EleosTheofilusG for more updates, DM for Questions! Connect with ET at Linktr[dot]ee[slash]eleostheofilusg Send your voice message here : https://anchor.fm/eleostheofilusg/message
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156 つのエピソード
Manage episode 289761496 series 2754106
コンテンツは Eleos Theofilus によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Eleos Theofilus またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Now that Anchor’s podcast analytics includes episode drop-off charts metrics Spotify, here’s how to use the data to keep listeners engaged and grow your show. Trying to improve your podcast usually involves a lot of guesswork and uncertainty. It can be tough to know how many people are actually listening to your episodes at any given moment, let alone which segments are keeping people engaged. Most podcasting platforms measure listenership in download counts. This info can be helpful at a high level, but not all plays are created equal. There’s a crucial difference between someone who listens for two minutes and someone who sticks around for the entire episode. On top of that, download counts don’t do much to pinpoint whether your new ad read or episode introduction made a positive or negative impact on your audience. When Anchor introduced episode drop-off charts based on Spotify listening data, podcasters were finally able to discover the granular behavior that occurs after a listener presses ‘play.’ Episode drop-off data is the key to knowing which episodes and segments held your audience’s attention and where people stopped listening, so you can make strategic decisions about your content and learn not just howyour content is performing, but whyit’s performing the way it is. Here’s a closer look at some example data to help you interpret your own analytics and create actionable insights about your show. Everyone’s podcast is unique and not all retention curves will look like the ones below, but by understanding some common trends in episode performance, you can take more informed measures to improve your podcast and make each episode better than the last. ET akan membahas tentang "Cara Mengatur dan Menata Ulang Segmen Episode Podcast Anda #ETTalks" yang merupakan Bonus Episode ke 32 dari Season 1 tentang Podcast. Podcast "What's on my Mind by ET" bisa Anda dengarkan di IGTV, Spotify, Apple Podcast, & Anchor FM. Follow Instagram @EleosTheofilusG for more updates, DM for Questions! Connect with ET at Linktr[dot]ee[slash]eleostheofilusg Send your voice message here : https://anchor.fm/eleostheofilusg/message
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156 つのエピソード
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