If you leave the site after only looking at

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The ``recruitment information,'' it will be a ``bounce return.'' In other words, the bounce rate is included in the exit rate, and is an indicator that applies only to cases where users leave after viewing only one page. By the way, the following actions apply to "withdrawal": close browser Return to the site using your browser's "back" button Click on an external link within the site to exit the site 30 minutes pass without doing anything on that page. Reaching midnight during the session 4 and 5 are analytical specifications. Regarding 4, if you navigate to another page after 31 minutes, that session will be counted as a new session. Estimated withdrawal rate There is no published average value for the withdrawal rate.

That's no wonder, because users always leave a website, so it's natural for Phone Number List some pages on a site to have a high exit rate and some pages to have a low exit rate. So, what should you use as a guideline when considering the withdrawal rate? It's best to visualize user behavior and conversion. For example, in the case of an e-commerce site, a conversion is a "product purchase". Therefore, if the exit rate of the product purchase completion page is high, it can be assumed that the user has purchased the product. On the other hand, if the exit rate of the product page is high, it means that there are no attractive products, and if the exit rate of the membership registration page is high, the registration method is considered to be complicated. In this way, it is necessary to hypothesize and think about user behavior and intentions.



Specific examples and calculation methods for bounces and withdrawals Bounce rate and exit rate are difficult to understand in words. To make it a little easier to understand, we will introduce the calculation method with a concrete example. Concrete example Let's say that one day, there are 5 sessions on a certain website. The actions for each session are as follows. Page Leave In this case, session 1 leaves on page A, but it is a "bounce" because it is the only page that is viewed. Similarly, session 3 also "bounces" on page C. Then, session 2 will "leave" on page C, session 4 will "leave" on page B, and session 5 will "leave" on page A. Method of calculation Let's calculate the "bounce rate" and "exit rate" for the above example. ・Page A [Withdrawal rate] A total of 4 sessions included page A. Of these, the number of exits from page A is 2 times (1,5), so the exit rate is 2/4 x 100 = 50%. [Bounce rate] A total of 2 sessions started from page A.