Analysis of the new and old visitors to our site has any specific significance

Absrtact: As stationmaster, we analyze the data of the website every day. Especially in the analysis of the visitor data is very important. In the analysis of the visitors, we will analyze the data between the new visitors and the old visitors of the website. Simply put, new visitors are the first

As stationmaster, we analyze the data of the website every day. Especially in the analysis of the visitor data is very important. In the analysis of the visitors, we will analyze the data between the new visitors and the old visitors of the website. Simply put, a new visitor is the first visit to a site or the first time a site service is used, while an old visitor is a visitor who has visited our site before or has used a site service. Whether new and old visitors can bring value to the site, this is the meaning of analysis.

Then analysis of the new and old visitors to our site has any specific significance

Our site's old visitors are generally our site's die-hard fans, for our site has a relatively high viscosity, but also for the site to bring real profit of the major groups. So what does a new visitor mean to our site? For new visitors we can say that it means that the site's business development, the site is constantly developing the premise. We can also simply say that the old visitors are the basis for the survival of the site, and new visitors is our site to develop a continuous momentum, so our site visitor development route is to retain the old visitors on the basis of constantly improve the number of new visitors.

This analysis of the significance of new and old visitors is clear: we analyze the old visitors, can determine whether the site's recent operations to promote the stability, whether in the downhill. Through the analysis of new visitors, we can also measure the recent development of the site whether there is a step forward, whether there is greater room for development. It can be said that two analysis one is looking at the present, one looks to the future.

So how do we differentiate between new and old visitors?

We can use different tools and models for the distinction between new and old visitors. One of the most common distinguishing patterns is to analyze whether a visitor has visited our site before and is the first visit. Google's Analytics tool GA defines new and old visitors by caching cookie files on the user's computer, and the principle is that if the visitor has a cache of our web site, he is an old visitor, whereas a new visitor. This approach also has some limitations, that is, visitors may delete the cache or replace the computer, which can easily cause data deviation. This approach generally appears on some traffic statistics analysis tools.

Of course, if your site is a Web site that requires users to log in, you can define a new visitor for those who have logged in for the first time, and those who log in again as the site's old visitors. Such data is relatively accurate, but the scope of use is relatively limited.

How to analyze the new and old visitors of the site

For our site, our development goals of course is to maintain the old visitors at the same time constantly expanding new visitors, then how do we analyze the data from the site? For those normal regular site, the site of the number of old visitors should be maintained relatively stable, and there is a continuous rise in the micro-amplitude is normal. The following figure is the author site in Google analysis tools in this proportion of the micro-amplitude changes:

Old Visitor Graphs

We can click on the Google Analytics Tools menu bar on the dashboard click Advanced segments then we choose returning visitors, we can be based on the time we want to see to set the relevant date, to get more accurate information. This curve above shows the author's site of the old visitors in the steady growth, which is a normal performance. Of course, some of the site's curve will not be so smooth, in addition to the reasons for the site itself and some external factors, such as tourism sites, and this type of site will be season, festival lights serious impact on this fluctuation will be larger. We can get more accurate data by analyzing this year (compared with the data of the same period last year) and the chain (comparison of different time periods). For our site, the number of visits, sales, profits and other site key indicators can also be cited Year-on-year and the chain more in-depth data analysis, so you can eliminate the seasonal, holiday and other external factors for our data error.

For our site, the analysis of old and new visitors has an important role. Only if we really analyze our new and old visitors to get a deeper understanding of our site and correct the problems, I hope this article for the people in the analysis of the visitor data to help.