Talking about how to analyze the viscosity of the site from the traffic number of the site

The numbers revolve around our optimization process. and analysis of the number of sites may be a lot of seoer one thing, because most seoer do not like to face a pile of boring figures, but only we in-depth analysis of these data, we can really understand the current site viscosity, to find ways to improve. So where can we start to analyze it? The author today to share their three points analysis site viscosity experience.

One: Analyze site viscosity from the difference between the new and old visitors of the site

As a seoer we have to look at the site traffic statistics information in the IP and PV information, but a lot of seoer for these numbers are just stay on the rise, and ignore the changes in these values reflect the problem. Also we can clearly from this some data to see the site's user experience degree, and viscosity. Our statistical tools (the author is using CNZZ) will be divided into independent visitor data and new independent visitor data, we can use the difference between the two values to analyze the number of visitors to our site two times, from the side reflects the site's viscosity. As shown in the following figure

　　

In the image above we can find that the total number of independent visitors to the site yesterday was 11319, while the data for the new independent visitors was 6195. The two values differ by less than 5,000, and we can roughly say that about 5,000 visitors are two visits. In this we can see how the site's viscosity.

Second: Analyze the visitor's stay time on our site page

To see how the viscosity of a site, the most basic question is whether your site page can attract visitors. One of the most straightforward ways to do this is to analyze how long a visitor stays on a page. To this we assume that you a visitor, if you enter a user friendly experience is not high, the page viscosity low site, I think you will not stop to stay. So we can use this data value to analyze the viscosity of the site. As shown in the following illustration:

　　

Above we can find that the author's site in the viscosity is still good, because we found that the page browsing times in a day to achieve, and stay time some even more than two minutes. Of course this is only a separate page, we also need to the site's overall page for a full range of analysis.

Third: From the site's users to analyze the viscosity of the user

There is also the most direct to see the site viscosity is the visitor's return. It is easy to understand that. The visitor's turn back indicates that the visitor is stuck with our site. If a site is good, then we can say that the site's viscosity is good, can attract visitors to the second, third, or even more than a visit. Specific we can look at the author site visitors to the same.

　　

Above we can see that this site is a good return to the head, which has 18.51% times for many users, this group of users is our site's loyal users.

Site viscosity is a worthy of our analysis of indicators, causing its relationship with the site's user-friendly experience, the site's overall flow ranking and so on. And through the rational use of these data, we will be more intuitive to understand the viscosity of their site, to develop a more reasonable means of optimization. This article from the Suzhou Family Hotel Http://www.tuan-nanjing.com Original, A5 starting, reproduced please retain the source.