中文

The labeling platform is positioned as a big data analytics platform for enterprise-level users, offering capabilities to explore user characteristics and create user personas. It enables user identification, clustering, and segmentation, and allows for viewing the evolution of labels throughout their entire lifecycle through characteristic changes. The main functions include label processing and production, user persona creation and analysis, label segmentation management, and access to multiple data sources. It continuously empowers businesses with innovation.

Product Features

Features

Label Personas
Group Selection
Custom Labeling System

Label Personas

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.

Group Selection

Supports enterprise clients in selecting labels and label values through visualization, unifying group rule definitions, and selecting group data that meets business requirements, facilitating data analysis and querying for enterprise clients.

Custom Labeling System

Supports the development of a custom labeling system, allowing for the creation of a labeling system tailored to one's own business development based on specific business scenarios. It unifies label definitions and supports the creation of multi-level categories, with a maximum of 4 levels currently available.

Application Scenarios

  • Custom Labeling System

    Custom Labeling System

    Custom Labeling 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

  • Unified Label Definitions

    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

    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)

Success Cases

AEON

AEON is a leading integrated retail and service group in Asia, with over 500 member companies. In recent years, as AEON's business continues to grow, the importance of data to business development has become increasingly prominent. The group fully recognizes the importance of a data platform for business development and has launched a data middle platform project to establish a unified data platform connecting the group's front-end and back-end core business systems. Through the data middle platform, business data is aggregated, enabling data interconnection and standardization, forming data assets, and providing reusable data services and capabilities for business and data development teams based on technology and big data capabilities, creating a data support platform for AEON's digital transformation.

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