Naturally, we can analyze data to find the cause of the problem.

Causes

The so-called cause and effect, first we need to understand the cause of the formation of the problem, in order to prescribe the right medicine. Caused by the loss of user common reasons there are four points, as shown in the following chart:

In fact, the crux of the problem is that the user analysis is not in place, do not grasp the user's heart needs, resulting in the website page layout is unreasonable, which in turn affects the user experience.

Reduce user turnover:

The above we analyzed the crux of the user turnover rate is high, how to solve this problem, the need to analyze the user behavior. Through a chart to analyze from three indicators.

From the above chart, we can see that the user behavior analysis is in fact the user to use the product process of all the data (including downloads, frequency of use, visits, visit rate, retention time, etc.) to collect, organize, statistics, analysis of a process.

How to analyze?

First: user group characteristics

To do user analysis, first of all, we need to understand the clear user characteristics, such as age, gender, geographical distribution and so on. As shown in the figure:

From the above three figures, it can be seen that with this information, you can make a positioning of the goods, or plan the corresponding activities based on this information.

Second: user attention

The main analysis of the user's browsing behavior, such as users pay attention to which products, which pages are concerned about high, as shown in the following chart:

By grasping the user's browsing behavior, optimize the website page, improve the search function, achieve a reasonable layout of the page, and enhance the user's attention to the activities.

Third: utilization rate

The statistics and detection of the user's click rate, registration rate, visits and other information. Through the system you can understand how users are lost in clicks and registrations.

The above figure shows that by analyzing the process data changes (churn, inflow, etc.), the browsing process is optimized through. For example, we set 100 users to a site, respectively, product browsing, we expect these 100 people can register successfully, but in fact only 50% of the users to complete the registration, which requires us to analyze, what are the reasons for this, in which link out of the problem? As shown in the figure below, a case study on the registration page can be visualized to show that the registration page is not well designed and leads to user loss.

In summary, the reduction of user turnover certainly has a variety of factors, but the user behavior analysis is a key link, through the analysis of user behavior, for the subsequent development of the product, optimization or marketing activities to provide strong data support, and thus reduce user turnover, improve sales.