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Customers(CDP)

Customers(CDP)

Integrate omnichannel customer data, establish OneID and a unified tagging system, form a unified user view, and combine AI-driven user insights with the identification of high-potential audiences to support precise operations. Supports both SaaS and private deployment.

  • OneID system connects member benefits
  • People/Goods/Scenarios tagging system for precise matching
  • Fundamental data infrastructure supports various growth applications
Use cases
Product capabilities
Product architecture
Customer stories
Frequently asked questions

Use casesUnlock the value of data across a wide range of business scenarios

Connect member benefits
Connect member benefits

Integrate member data across multiple channels and devices to build a unified One-ID system, enabling member benefit calculation on a fused data foundation.

360-Degree Customer Insights
360-Degree Customer Insights

Build 360-degree customer profiles, combine AI to uncover user traits, behavioral preferences, and lifecycle changes, enabling personalized customer journey orchestration.

Precision Operations
Precision Operations

Unify the user lifecycle, segment member value, and implement differentiated operational strategies. Reach out through multiple channels and collect performance data.

People-Goods Matching
People-Goods Matching

Build user and product profiles to enable precise people-goods matching, boosting order conversion and revenue growth.

Reactivating Dormant Users
Reactivating Dormant Users

Based on user characteristics, identify customers in the dormant phase and develop reactivation strategies to extend their lifecycle.

Personalized for Each User
Personalized for Each User

Real-time tag calculation supports personalized recommendation services such as one-to-one personalization.

Product capabilities
Solve business challenges with distinctive product capabilities
Pain Point: How to quickly integrate data from multiple channels and devices, achieving user ID unification and accumulating high-quality data assets
Solve: Data Integration
Rooted in the XEI data model, it supports multi-source data ingestion, integrates omnichannel data, and unifies universal IDs in real time to build high-quality data assets.
  • Omni-channel Data Integration

    All-platform SDK collection, direct database import, and data file upload import

  • Real-time OneID Integration

    Connect user identities across sources in real time to recognize the same user and support precision operations.

  • Unified User Overview

    Visualize an overview of user data integration results and track integration details

Solve: Data Integration
Pain Point: Business users need to quickly set up a tagging system and instantly obtain the results of tag calculations.
Solve: Low-Code Development
Provides a number of low-code tag development templates, enabling business users to have full control and saving 95% of the time compared to traditional development.
  • Low-code Development Tag

    Over 10 self-service label rule templates for business users to flexibly build and manage a labeling system

  • Low-code Group Selection

    Multiple rule templates for audience selection, plus intersection, union, and difference calculations between groups for further processing — enabling flexible building and management of audience resources.

Solve: Low-Code Development
Pain Point: Personalized recommendation services, such as tailored experiences for individual users, lack the support of more timely and relevant tags.
Solve: Real-time Calculation
Real-time computed tags strongly support personalized recommendation services such as tailored experiences for each individual.
  • Real-time Label Calculation

    Monitor user behavior to update tag values in seconds.

  • Data Subscription

    Kafka subscription for real-time tag calculation results

  • High-Speed Database Calls

    High-concurrency APIs deliver real-time tag calculation results.

Solve: Real-time Calculation
Pain Point: Business personnel need to set up product, store, and other tags, but the lack of self-service configuration tools leads to a long development cycle.
Solve: Multi-Entity Models
Supports building a tag system for all business objects, matching People, Goods, and Scenarios for recommendation marketing, and driving comprehensive digital transformation for enterprises.
  • Multi-entity Data Model

    Full business object behavior data is ingested into a multi-entity model.

  • Low-code Adaptation for Multiple Entities

    Low-code tag development and audience selection support use across entities such as products, stores, and dealers.

  • Multi-Entity 360-Degree Profile

    A 360-degree comprehensive view of all business entities, providing insights into the characteristics and preferences of users, products, stores, and more.

  • Multi-entity Data Import and Export

    OpenAPI exports user, product, and store label/group data to support other data applications.

Solve: Multi-Entity Models

Product architectureBuild an enterprise-wide marketing solution

structure
Solution features
  • Meet diverse marketing scenarios across all business entities.
  • Real-Time Processing and Subscription for Massive Data
  • End-to-End Data Solutions
Recommended products

Customer storiesWhat our customers say

China Merchants Renhe
Centaline Property
Manniu Health
China Merchants Renhe

GrowingIO helps us integrate and consolidate data from various sources such as the Renhe App, official website, and official WeChat account, and has completed the construction of a metrics system and tagging system; gradually achieving operational scenario implementation and practicing online data-driven marketing activities.

China Merchants Renhe
Centaline Property
Manniu Health
China Merchants Renhe
China Merchants Renhe

GrowingIO helps us integrate and consolidate data from various sources such as the Renhe App, official website, and official WeChat account, and has completed the construction of a metrics system and tagging system; gradually achieving operational scenario implementation and practicing online data-driven marketing activities.

Frequently asked questions

How to Solve Data Silos with CDP?
By integrating multi-source data, OneID identity consolidation, a unified tagging system, and a unified user view, we connect customer data scattered across different systems to provide a consistent basis for subsequent analysis and operations.
Is private deployment supported?
Supported. All products under GrowingIO Analysis Cloud support SaaS and private deployment, allowing you to choose the appropriate delivery method based on your company's requirements for data security, compliance, system integration, and management. For an assessment of the deployment solution in line with your specific business scenarios, please contact us for further consultation.
Can the tagging system for products, users, and stores be managed in a unified way?
Yes. Business entities such as users, products, and stores can be managed under a unified tagging system, facilitating people-goods-scenarios matching, member operations, and collaborative analysis of multiple objects.
Can the data be exported and integrated with internal enterprise systems?
Yes. It supports integration with internal or third-party systems through real-time data subscription, offline data export, and OpenAPI.
What is the latency of real-time tags?
Tags can be updated on a second-by-second basis; the specific number of real-time tags and resource allocation can be further evaluated based on the scale of your business.
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