How to do user analysis

Behavioral event analysis

Behavioral event analysis is mainly used to study the impact of the occurrence of a behavioral event on the value of the enterprise organization and the degree of impact. Enterprises use it to track or record user behavior and business processes, such as user registration, browsing product detail pages, successful orders, refunds, and so on, through the study of all the factors associated with the occurrence of the event to explore the reasons behind the user's behavioral events, interactions, and so on.

02

Click analysis model

Click analysis model is widely used in data analysis within various industries, and is one of the important data analysis models. Among them, the click graph is the effect of the click analysis method is presented, in the field of user behavior analysis, click analysis includes the number of times an element is clicked, the percentage, the list of users who have clicked, the current and historical content of the button and other factors.

03

User Behavior Path Analysis

User path is defined as the path of user's access behavior in an APP or website. For a given page (URL), from which scenes did the user come to this page (source)? After entering this page, which scenes do they go to (direction)? Is the user browsing path in accordance with the path designed by the operation forward or offset? User behavior path analysis is the analysis method to solve the above problems: guide the operation to clarify the existing path of the user, optimize the user behavior along the optimal access path, combined with the needs of business scenarios for front-end layout adjustment.

04

User health analysis

User health is a core indicator based on user behavioral data, reflecting the operation of the product, and providing early warning for the development of the product. It includes three major types of indicators: product base indicators, traffic quality indicators, and product revenue indicators. The three of them constitute a system for evaluating product health, and they also have their own focus.

05

Funnel model analysis

Definition: funnel model analysis, the essence of decomposition and quantification, that is to say, from the very beginning of an event link (acquiring users) to the final transformation into a purchase of this entire process of a sub-link, the conversion rate of the neighboring links of the performance of the performance of the link, which refers to the use of data indicators to quantify the performance of each step. So the whole funnel model is to first split the whole event process into steps, and then use the conversion rate to measure the performance of each step, and finally through the abnormal data indicators to find out the problematic links, so as to solve the problem, optimize the step, and ultimately achieve the purpose of improving the overall purchase conversion rate.

A classic use of the flow funnel model in product utilization is the AARRR model, from the Growth hackerGrowth hacker book (this book is particularly worth a look), the AARRR model is combined with the characteristics of the product itself and the product's lifecycle position to focus on different data indicators, and ultimately to formulate different operational strategies.

06

User Profile Analysis

The formal name of User Profile is User Profile, which refers to a labeled user model abstracted from the user's attributes, user preferences, habits, user behavior and other information. It is commonly referred to as tagging the user, and the tag is a highly refined feature identification that comes from the analysis of user information. Labeling can be used to describe the user with some highly generalized and easy-to-understand features, which can make it easier to understand the user and can be easily processed by the computer. In the early stage of the product and the development period, it will be more with the help of user profiling to help product operations to understand the needs of the user, imagine the user to use the scene, product design from making products for all people to make products for the 3-5 groups of people with certain labels, and indirectly reduce the complexity.