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

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

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

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

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

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

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

- 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.

- 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.

- 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.

Product architectureBuild an enterprise-wide marketing solution

- Meet diverse marketing scenarios across all business entities.
- Real-Time Processing and Subscription for Massive Data
- End-to-End Data Solutions
Customer storiesWhat our customers say
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.

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.