Contrastive analysis, whether from life or work, are often used, contrastive analysis, also known as comparative analysis, is the comparison of two or more interconnected indicators of the data, analyze the changes, and to understand the essence of the characteristics of the thing and the law of development.

In data analysis, commonly used in 3 categories: time comparison, space comparison and standard comparison.

2, funnel analysis

Conversion funnel analysis is the basic model of business analysis, the most common is to set the final conversion to the realization of a certain purpose, the most typical is to complete the transaction.

In this, we tend to focus on three main points:

① What is the overall conversion efficiency from start to finish?

2) What is the conversion rate at each step?

3) Which step has the most churn and why? What are the characteristics of the lost users?

3, user analysis

User analysis is the core of Internet operations, commonly used analytical methods include: active analysis, retention analysis, user grouping, user profiling, user details.

User activity can be subdivided into active browsing, active interaction, active transactions, etc., through the active behavior of the subdivided, to grasp the key behavioral indicators; through the sequence of user behavioral events, user attributes to subgroups, to observe the subgroups of the user's access, browsing, registration, interaction, transactions and other behaviors, so that we can truly grasp the characteristics of the different types of users, to provide targeted products and services.

These are the most common features of the web site.

4, indicator analysis

In practice, this method is the most widely used, but also in the use of other methods of analysis at the same time with the use of the method of highlighting the key points of the problem, refers to the direct use of statistics in some of the basic indicators to do the analysis of the data, such as the average, Plurality, Median, Maximum, Minimum, and so on. The orientation of the results needs to be taken into account when choosing exactly which basic indicators to use.

5, buried analysis

Only the collection of sufficient basic data, through a variety of analytical methods to get the results of the analysis needed.

By analyzing user behavior and subdividing it into: browsing behavior, light interaction, heavy interaction, and trading behavior, events such as clicking buttons for browsing behavior and light interaction behavior are used frequently and the data is simple to realize self-burying using no-burying-points technology, i.e., it can improve the effectiveness of data analysis, and the required data can be extracted immediately, and it also reduces the workload of the technicians a lot. workload, the need to collect richer information on the behavior.