Function overview
The analysis in Quick Tracking is mainly divided into two parts, one is the insight into behavior and the other is the insight into users.
Behavior insights
Event-based statistical analysis of metrics and drill-down analysis under conditions such as grouping and filtering can help enterprises understand the user usage of products and further explore the main factors that affect the change of metrics.
Helps enterprises understand the conversion or churn of users in behavioral steps, and then improve the conversion rate by optimizing products or carrying out operational activities to achieve business goals.
According to different business scenarios and product stages, customize the initial behavior and subsequent behavior to do retention calculation, assist enterprises to analyze the stickiness of users using products, adjust strategies according to retention analysis results, guide users to discover product value, retain users, and achieve real user growth.
View the distribution of users on an event metric within a specified interval. Common examples include viewing the distribution of the number of people based on the number of occurrences of an event, the distribution of the number of days a product is used, and the distribution of the number of users with a property value. Enterprises can use distribution analysis to further grasp user characteristics.
Help enterprises to scientifically observe the time interval and data distribution of user groups between specified behavior events. Different data indicators such as maximum, minimum, and median can reflect the user experience in the product usage path and evaluate the rationality of product feature settings.
Session analysis connects users' single-point behaviors into a whole, helping enterprises to deeply interpret a series of users' behaviors on products.
Path analysis presents the user's usage path in the product with a Sanji diagram, showing the user's traffic flow in the page and page flow. Path analysis can help enterprises verify product operation strategies and optimize product design ideas.
User insight
Audience insight allows you to select users who have the same behavioral characteristics and attribute characteristics within a specified period of time, and accurately analyze and reach the selected users.
Divide users by lifecycle to help enterprises focus on, analyze, and operate users that may be lost, and increase the number of active users.