Data Labeling Platform

The labeling platform enables user identification, clustering, and segmentation to build dynamic personas. It supports end-to-end label management—from processing and production to lifecycle tracking—integrates multiple data sources, and drives continuous business innovation through actionable insights.

Product Features Function Overview Application Scenarios

Product Features

Custom Labeling System

Supports enterprises in establishing a labeling system tailored to their own business development and scenarios, aligning with their growth trajectory.

Visual Label and Segment Creation

Flexibly creates labels and segments for customers based on varying business rules.

Multi-Data Source Integration

Connects to diverse data sources to cater to different business scenarios.

Unified Label Definition

Forms and timely updates label specifications to meet enterprise production needs.

API Release

Retrieves segment data to fulfill business scenario requirements of third-party systems.

Label Personas

Individual personas display all labels associated with an individual, while group personas can be analyzed and displayed based on different label dimensions.

Function Overview

In the label personas feature, we can view detailed persona information for individual users and the label distribution for groups. Detailed persona information for individual users includes: user ID, key focus labels, and all other labels. Group personas visually display the label distribution of the population, enabling multi-dimensional and comprehensive acquisition of group persona information and facilitating persona analysis of the group.

Application Scenarios

Custom Labeling System

Custom Label System

User Attribute Labels:Age,Gender,VIP Status User Behavior Labels:Favorited (vs.Not Favorited) User Consumption Labels:Total Consumption Amount,Number of Purchases User Activity Labels:Preferred Visiting Hours,Event Participation Rate,User Visit Frequency

Unified Label Definitions

Gender:Female Age:20-30 years old Frequently Logged-in Channels:WeChat Mini Program,App Frequently Logged-in Time:14:00-15:00 Location:Shenzhen,Guangdong Province Products of Interest:Cosmetics Event Preferences:Trial Events

Consumption Attributes

Consumption Habits (frequently purchased products/categories), Consumption Capacity (consumption frequency, consumption amount)

Behavioral Characteristics

Browsing content, products of interest, activity level, frequently logged-in channels, number of event participations...

Basic Information

Gender, region, age, phone number

User Information

VIP status, VIP level, user lifecycle, purchasing power

Marketing Tool Development

1. Identify Users

Select users based on labels (e.g.,[Male],[25-30 years old],[Beijing],[Purchased Skincare Products])

2. Analyze Users

Analyze user personas and potential characteristics (e.g.,among the target audience of 32,715 users,the most common additional label is [Chocolate])

3. Deliver Messages

Edit copy and send it to users through various channels (e.g.,"Still using Biotherm?Come see what other skincare tech worth buying!" and send it to users via App,Mini Program,and SMS)

4. Analyze Effects

Analyze the effectiveness of the delivery (e.g.,4,122 people opened the link,3,242 redeemed coupons,and 1,397 made purchases)