SEO basics: Analysis of bounce rate and exit rate

SEO basics: Analysis of bounce rate and exit rate
I believe that most of our webmasters pay attention to the daily IP traffic, and often do not analyze the bounce rate and exit rate. Currently, many data statistics have such an indicator, which maps the website stickiness and the visitor's trust in the website. The prompt that the surrounding reflectivity affects the website ranking. It is quite logical to think that the quality of a website that users often rebound is smaller than 1, and users can be retained. Bounce rate refers to the number of times that a single page is viewed, that is, the number of visits = single access/entry visits the bounce rate and exit rate. In fact, this is also a standard to evaluate the good and bad user experience of a website., the bounce rate is high, which indicates that many users leave after reading a page and are cheated by their websites. To reduce the bounce rate, in this case, when optimizing the website, let's work harder on the keyword density. Otherwise, the keyword overlay will inevitably lead to poor user experience. The exit rate is low, indicating that new and old customers will only leave after clicking many pages, often fresh and reliable content can be liked by visitors, and the return rate is increased. Bounce rate is the number of users that the website leaves your website from this page. For example, if a user finds some webpages, the high exit rate is natural. After all, your users must leave your website for a while. The company information page and the "Contact Us" page are naturally a good exit page, indicating that your users find that they are in their own website needs. They also showed that users are interested in your enterprise's full understanding before they leave. Hop-out rate algorithm formula: (number of visitors who leave when a page is accessed) average (total number of visitors) = bounce rate: for example, 100 visitors found Xiamen SEO through this connection. Eight of them left this site without reading other articles, and the bounce rate on this page is 8%. Exit rate algorithm formula: (number of visitors leaving the website) Quit (number of visitors entering the website) = exit rate. For example, the total number of visits to the home page of this site is 1000, if you leave this site 50 times, the homepage exit rate is 5%. Calculate the Bounce Rate and Exit Rate on page a, which are (5/10) * 100% and (5 + 2/10 + 2) respectively) * 100% remind you again that the exit rate calculation in Google analytics is calculated as exit/visit in Omniture, which means the value is (5 + 2) /10 * 100% in another condition, return two accesses to page a from page B, one access to Page d, one access to page f, one access to page a from page d, return to page a, and finally exit this calculate the Bounce Rate and Exit Rate of page a, which are (5/10) respectively) * 100% and (5 + 2 + 1/10 + 2 + 1) * 100% in this example, all my conditions are accessed without directly using a visitor, the reason is that ga calculates the bounce rate as visist rather than uv (the only visitor), and the denominator of exit rate is pv. in order to prove the conclusion, I will post a picture to confirm the conclusion. Macau Yongli hotel website: http://www.yongli-jiudian.c Om Macao Yongli Luxury Resort and Casino this figure shows several problems. Many concepts have always been used to measure bounce rates. Maybe some readers still cannot understand what access means, here we can see that the entry is actually the number of visits visit. for this lab website, we verify the bounce rate. The bounce rate is 259, and the number of visits is 451. Therefore, the bounce rate is slightly equal to 259/451 ≈ 0.574279. the decimal point is 57.43% in the figure. Exit rate. The number of exits is 451, the total page views pv is 975, and the calculated exit rate is 451/975 ≈ 0.46256, ignoring the decimal point is 46.26% second exit rate and bounce rate, which indicates the bounce rate. Only the page quality of the page as the user's landing page can be measured. In general, if you are introducing traffic from other media, it indicates that your media channel is incorrect, the search engine's payment keywords are inaccurate, and the customer base is inaccurate, or landing page call to action may not be attractive enough. galaxy Macau hotel website: http://www.aomenyinhejiudian.com Of course for different pages and different types of website bounce rate needs to be treated differently, the nature of many websites decide that users even as long as you browse the home page, the demand may be satisfied. For example, for a wordpress blog, there may be some old visitors who visit the blog to see if there are any updates or no updates. It is normal to jump out. In this case, it is worth mentioning that the website quality is poor. The exit rate and exit rate should also be divided into different situations and cannot be generalized. If you have planned the user access process for your website, however, if you find that an exit page of your website becomes a stumbling block to another very important page, you should be concerned about the content of this exit page. Exit rate cannot be used to analyze all pages of a website. It can only be used to analyze whether certain pages in a specific process can meet user needs (interactions. It is generally considered that the demand for high exit rate is not met, but the user demand issue cannot be measured by the exit rate on a specific page. Football Score live broadcast www.133bifen.com Football Score live broadcast if the customer needs to be satisfied with the direct exit, the exit rate is very high normal, such as e-commerce website payment success page, other website Customer Service (eg: contact us, about us) this type of page, the exit rate is usually very high. The user's settlement and payment needs are met, and the user's contact information needs are met. In this case, we need to use other analyses, such as the conversion funnel Analysis for e-commerce. However, in the same process, the registration page, the payment page, and the receiving address page can also be measured by the exit rate. If the exit rate is high, there are problems in your registration process page, payment process page, and logistics process page. For example, you do not support cash on delivery, you need to fill in too many items, and the interface is unfriendly. The exit rate is also reflected in the page content attraction. Can call to action motivate users. In addition, from the perspective of website technology, the page is too large to be fully loaded, and the page does not return any links to other pages, which also causes the exit rate to be too high. 3. How can we optimize bounce and exit? Bounce rate can be used for analysis of external traffic channels and paid keyword ads. For those channels with a high bounce rate, on the one hand, we need to analyze whether there is a deviation between the channel customer base and the website-defined customer base, on the other hand, the bounce rate of most false traffic is generally high when identifying false traffic.