User portrait platform-User hierarchical analysis-User tag system-User behavior insights-Jinyi Technology

Feature Highlights

User tag

Abstractly classify and summarize certain characteristics of a specific group or object, and support users to generate new labels based on custom label rules based on embedded data to describe the user's behavioral characteristics.

User grouping

Find the corresponding user groups through certain specific rules, support users to select people who meet specific conditions as a group, deeply explore user behavior, and assist precision marketing.

User portrait

For a designated user group, the user attribute distribution, label distribution and behavioral characteristics distribution of the group are displayed through visualization, so that the portrait information of the user group can be obtained multi-dimensionally and three-dimensionally, and the portrait analysis of the user group can be realized.

Insight into users

Multidimensional labeling system

According to business needs, user characteristics are classified and marked in multiple dimensions, and scattered customer data and behavioral characteristics are converted into labels to build a complete and dynamic label system to better understand and analyze user behavior, needs and preferences.

Accurate user grouping

There are many ways to create groups, such as custom grouping, SQL grouping, and imported grouping. We can find the corresponding user groups through certain specific rules and quickly screen the target customer groups, helping us discover core high-value users, conduct in-depth analysis, and explore user growth.

Panoramic user portrait

Construct a panoramic user portrait, calculate the label characteristics of all users of the product or segmented user groups, restore the true appearance of the user, understand the salient characteristics of the user, and facilitate precision marketing and refined operations.

Drill down to gain insight into users

For the data indicators in the analysis scenario, the data results can be drilled in depth to understand user behavior from the user dimension, and more specifically analyze the reasons for users' specific behaviors to facilitate subsequent positioning and screening, and identify the causes of specific problems. To position.

Deep user insights