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Attention most We found inspiration

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發表於 2023-12-2 18:38:42 | 只看該作者 回帖獎勵 |倒序瀏覽 |閱讀模式
Rates and dwell time for data has been evident for some time While dwell time gives a fair idea of ​​user engagement levels it doesn t reveal much about how users interact with content once they open the link In other words there s no way to know what gets users attention or what distracts them Without data that reveals which portions of an article engage audiences most marketers can t optimize ad placements in an objective data driven way To increase their.

Chances of being noticed in the absence of data Phone Number List marketers tend to choose generic placements or bombard users with multiple ads on the same page The introduction of our in content impact widgets is a reaction to this ineffective yet well intentioned trend We don t flood articles with ads that have no chance of being noticed Instead our attention based ranking algorithm is based on empirical evidence gathered from thousands of news articles showing.



How users interact with content and what captures their  for our attention based ranking algorithm from two crucial studies regarding modeling attention to sub documents and measuring user engagement Using viewport data which is data that shows how long certain page elements were displayed on users screens researchers were able to study user engagement in more depth at the HTML level within of the page.


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