How to analyze the heat of the visitors to the site from the cold data

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Analysis of the site's data may be a lot of optimization staff headache One of the things, because most people do not like to face a bunch of cold numbers, but only we in-depth analysis of our site data, can really understand the situation of our site, to find the existing problems and solutions. For example, the daily site of independent visitors, source domain name, etc. are for the development of the site has a key role in information. Only by analyzing these data can we make better optimization strategies. At the same time, data analysis can also analyze the site's user-friendly experience degree, analysis of visitors to the site and the heat. Then the author will use three data to analyze how the user to the site and the heat.

One: Analysis of the difference between the old and new visitors

Every day we have to see the site statistics in the flow and PV and other information, but a lot of webmaster just stay in the number is rising, and ignore its reflection of another problem. We can reflect the user friendly experience of the site from these values. First of all, our statistical tools will be classified as separate visitor data and new independent visitor data, we can check the value of these two data to see the number of two visits to our site, we can show visitors to the site's heat.

Above we can find the site in the total independent visitors today for 7981, the number of new independent visitors for 3999. Two numerical difference is not more than 4,000, that is to say our site has more than 4,000 two visits. Then we can say that visitors to our site has a certain degree of heat.

Second: The time that visitors stay at our site

To see if the user experience of a website is friendly, one of the most direct indicators is the time users stay on your site, assuming that you are a visitor, if you go to a user-friendly experience of the site, you will not stop to linger. Similarly, we can use this method to see the user's enthusiasm for our site. As shown in the following illustration:

We can view the site's page access, from the above we can see that the author's site in the user's friendly experience degree is still possible, because there have been more than two minutes of time, of course, this is only individual pages, we need to analyze the average time to better analyze the site's user heat.

Third: Users from the site to the same glance

There is also the most access to the user and the site of the heat data is the site's return to the high and low. This data will very directly reflect the site's user-friendly experience degree. If a site is high, then it can be explained that the site can be very good to attract users, so that users two visits, three visits, or even 10 visits. As shown in the figure below, the author of the site of the user.

From the figure we can find that the author's site users can still return, a visit of 56.31%, and 10 visits to reach 20.69%. We can see that the user on our site generated heat, and then continue to go back to visit our site.

The data was cold, but he reflected the warmth of visitors to our site. These three data can be very intuitive to reflect the heat of the visitors, I hope that we can make good use of these three data. Analyze the problems in the site and solve them in time. This article by my Shadow Bar-movie Net http://www.5dyb.com/original, reprint please indicate the source.