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The Google Analytics data below (left) is from the first day of publication

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發表於 2024-3-4 17:28:47 | 顯示全部樓層 |閱讀模式
Compared to the data for articles that could not be displayed at the top (right), you can see that a large number of users are flowing in. Google Analytics data 3 2. User behavior within articles At this stage, it is important that the incoming users read the article thoroughly. "Average time spent on page: 5:41" shows that people are reading carefully. Google Analytics data 5 If you meet these conditions, it will be easier to be listed on Google Discover. 3. User behavior in Google Discover "Google Discover" is a feature that displays content that matches the user's interests as "recommended articles" based on information collected from your Google account. It can be viewed only on your smartphone and will be displayed on the Google app or Chrome home screen. Below is a screenshot from when my Google Discover page posted `` How to find and deal with low-quality content in Google Search Console.

Google Discover example When a site is featured on Google Discover, the number of inflows increases rapidly, which is why it is also known as the ``Google cannon''. I predict that the following user behaviors will be evaluated positively on Google Discover. clicked shared less negative behavior clicked Even if it Belgium Phone Number Data appears on Google Discover, it will not be evaluated unless it is clicked. Therefore, it can be assumed that articles with high click-through rates will be highly evaluated. Of course, it is also important that people read your article thoroughly after they click on it.



Shared The Google Discover app for Android has a share button as shown below. Google discover share button Click here to share on social media or email as below. discover share button 2 I think that sharing an article means that it is a good article, so it is evaluated positively. As a side note, there is a heart mark like the one below, but this is not a "like" or "save favorite to read later" function like Twitter. This is a button that indicates interest in the topic that the article is based on. discover's "heart mark" In the example above, you are not interested in the article itself, but rather in "Billiards".


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