four, user occupation.
3. website daily in each column, each of the number of visits. This data can be obtained from the website in the background.
The distribution of How long will you stay in the
five, user habits.
2. website daily visits. This data can be obtained from the website in the background.
1. user web browsing habits, including news content, the overall layout of the interface used is reasonable, when users browse news feel where not suitable for the use of habits and so on?. This is very important, because most users on the Internet have formed a habit to visit the site. Only with their habits to design and service, so you can stick to the user. Analysis of artificial investigation on the website of the the source of the data, analysis and website technology.
industry what occupation only grasp the data in order to grasp the user. As for the website, we only hold the website data to properly analyze user behavior, love and the user really needs. Not much to say, Xiao Bian then introduced how to correctly analyze the website user data.
No matter what you are engaged in
2. users every day to browse our website? Is the user visits the site login time. The data must be accurate. Otherwise, the data will be meaningless. Analysis of artificial investigation on the website of the the source of data, and combined with the analysis of website technology.
, a source of user.
three, the user age.
2. users of the website come from which provinces? The data available from the website backstage address IP analysis.
3. users on the site? Is the user to finally close the residence time in the middle of our website to open our website, this part of the data can be fully explained, our website is the content of the user.
users of the website in what age? It can be divided into 14 – 18, 18 – 22, 22 – 26, 26 – 30 years old, 30 years old, 35 years old, 35 years old. Analysis on the website of the manual survey data sources.
two, site visits.
1. site visits per month. This data can be obtained from the website in the background.
users access to our site occupation. Can be divided into: students, free occupation, white-collar workers, IT stores, service government cadres, high-tech industry service etc.. According to the specific site location for differentiation investigation. Analysis on the website of the manual survey data sources.
1. users of the website come from where? This data can be obtained from the website background.
website user data of the nine analysis method