Improving the user experience of a website from the perspective of data mining

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Improve the experience of site users to improve customer satisfaction, we may need to do a lot of things, many people also have their own views, some people say to do a good job of the site's interface optimization, some people say is to plan special activities to attract more users, and so on, these optimization from the general level can improve the satisfaction of users, but to achieve effective, Accurate, we need to analyze from the angle of data mining, so as to improve the user experience.

On the one hand, through the targeted User index for page optimization. Every time the user clicks, replies, comments and even the mouse every slide, is its psychological direct reflection. For example, through the location of IP address, know which provinces, cities, areas of users to visit the site, different areas of user attention to the content of what the difference, frequent access time is the same, through the analysis of these data can guide the market business unit specifically selected in which city, Which time period does the promotion or the activity plan. On the basis of this comprehensive and meticulous data analysis, we can better understand the attraction of our website to the users and help us improve the user experience of the website in time.

On the other hand, active users and the loss of user analysis. We often see this advertising language: a certain site registered users have more than millions of or even tens of millions of. In fact, these figures do not make much sense. Just imagine, if many users are no longer logged on to the site, what is the point of this data? Therefore, for a site, the real significance is the number of active users rather than the total number of users, so only these users are creating value. Therefore, the user experience to improve the goal can be said to explore new users, retain the old users. All, we can store the user's basic information while recording the user's most recent logon time, this can accurately calculate the user's most recent logon distance between the current time interval, and then distinguish whether the user is active or lost.

At the same time, optimize site search, make it easier for users to find the required information on the site. Site search has become an essential part of almost all sites, especially in content-rich sites, when users get lost in the site, then will take the initiative to search the site. Analysis Site Search is the most common is to analyze the user's search keywords. For example, we can through the background of the site to develop the corresponding search analysis function, record the user's keywords, visit the page, browse the page, search page list, and so on. In the actual design, also should minimize the user's unnecessary tedious operation, strengthens the search experience.

In addition, through data analysis, grasp the user's psychology. When the site is revised, we tend to think: what are the unreasonable factors that exist in the current page? Which data indicators can best reflect the psychology of website users? First, we can keep track of the hourly trend of traffic on a website, and then recommend targeted articles and comments for this period in the course of the operation. Directs user access. Second, the analysis of the home page bounce rate and other indicators, evaluation of the home page browsing effect. For example, through the last one months of surveillance, more than 75% of the user's access depth is less than 3 pages, the most visited 10 content, only 3 from the home page, which can explain the recent editorial published content and current hot spots are biased, or home navigation, hot areas of the recommended content has problems.

Finally, the ratio analysis of PV/UV. If this ratio is found to be significantly reduced, and the UV changes are small, it is obvious that this means that the number of pages accessed by users is reduced, in which case the content or structure of the site needs to be adjusted. The site structure described here refers to the hierarchical relationship between pages in a Web site, which has a very important impact on the site's search engine friendliness and user experience. For example, to see the home page as a proportion of the portal, to see the first page flow in the total station ratio, to see the first page of two jump rate and pop-up rate, to see the home page to other sections or channels of traffic.

Improve the experience of site users to improve customer satisfaction, we may need to do a lot of things, many people also have their own views, some people say to do a good job of the site's interface optimization, some people say is to plan special activities to attract more users, and so on, these optimization from the general level can improve the satisfaction of users, but to achieve effective, Accurate, we need to analyze from the angle of data mining, so as to improve the user experience.

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