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
Custom Labeling System
Supports enterprises in establishing a labeling system tailored to their own business development and scenarios, aligning with their growth trajectory.
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Visual Label and Segment Creation
Flexibly creates labels and segments for customers based on varying business rules.
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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.
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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
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 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)