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Bounce rate and time spent in Google Analytics

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Bounce rate and time spent in Google Analytics

How is engagement measured? Bounce rate is one of the main metrics to measure this behavior. In this post, we explain what it is and how to measure it. One of the rules of SEO is that Google values ​​the engagement of users when visiting a page, understanding that those most consulted offers more quality to the user. As Google always wants to offer quality search results, logically the pages with more engagement will have more points to be positioned in the first places of the SERPs.What is the bounce rate? Here’s Google’s description of the bounce rate: According to Google: The bounce rate is the percentage of sessions on a single page, that is, sessions in which the user has left your site on the entry page without interacting with it. Several factors Ukraine Mobile Database influence the bounce rate. For example, the design of the site or its difficulty of use may cause users to leave it on the entry page. Likewise, users may also leave the site after consulting a single page if they find the information they are looking for on it and have no need or desire to visit the other pages. So basically, if someone visits a page on your website and then leaves without interacting or visiting any more pages then that visit has bounced. When can a bounce not be a bounce? This is where things get a bit more difficult, so pay attention. Let’s consider the following scenarios, with two visitors, A and B: Visitor A: He lands on our page, stays looking at our content for 20 seconds, and goes either to the previous site or directly closes the window.

Visitor B: He comes to our page, he stays reading our content by scrolling for 5 min and without clicking on another section decides to leave. By definition, both visitors have bounced, but when taking into account each other’s time on the site, we see that while user A may not have found anything useful, user B has. Two very different scenarios. In search engines, the metric that measures this visit duration is called dwell time, and it has an enormously positive Brother Cell Phone List correlation with user engagement. Therefore, when the bounce rate is used together with the dwell time, we obtain a more reliable indicator of the level of engagement of content on a given user. In fact, there is significant evidence that search engines are looking at dwell time as an indicator of engagement: Duane Forrester – Public Outreach, Bing: Although you may have put all your effort and love into creating the content of a web page, the quality is in the eye of the visitor. Low time spent on the page may indicate that you are not capturing user interest what we should be doing as webmasters are paying attention to bounce rates, always complementing them with dwell times. If we find content that has a high bounce rate and little dwell time, then we have a clear sign that we are not giving users what they expect, however a long dwell time can mean that we respond positively to what the user asks for Username.

The most obvious way to detect poorly performing content with these metrics is to use Google Analytics and apply a filter to all of your content. However, Google Analytics can only calculate the time spent on a page if you then navigate to another within the website itself: the measurement can only be performed between two interactions on the web. For example, if a visitor on one of your pages stays for 8 minutes and 12 seconds before bouncing back to the search engine, Google Analytics will show a 100% bounce rate and a page time of “0:00:00” that most webmasters will interpret as a dire sign. Here is the quote from Google Analytics to show that this actually occurs: -Seen in Google Analytics When a page is the last visited during a session, there is no way to calculate the time spent on it because no other page on the site was visited afterward. Therefore, if Page A is the last page that a user visits during their session, that time calculation is not taken into account for that page view. As you can see, there can be a big difference between what actually happens and what Google Analytics tells you. This difference can cause you to end up removing content from your site that is working perfectly.

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