Customers（CDP）
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 achieve precise matching, enhancing order conversion and driving 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
Real-time integration of user identities from various sources, identifying the same user, to support精细化运营.
- 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
Several cohort rule templates, and the ability to further process groups through intersection, union, and difference calculations, enabling flexible creation and management of group resources.
- Real-time Label Calculation
Monitor user behavior with second-level updates to tag values
- Data Subscription
Kafka subscription for real-time tag calculation results
- High-speed Library Call
High-concurrency interface to obtain real-time label calculation results
- Multi-entity Data Model
Integrate full business object behavior data into a multi-subject model
- Low-code Adaptation for Multiple Entities
Low-code tag development and group selection support use in products, stores, dealers, and other entities.
- 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 interface exports user, product, and store label/group data to support other data applications.
Product architectureBuild an enterprise-wide marketing solution
- Meet the diverse marketing needs of all business entities
- Massive Data Real-Time Processing and Subscription
- Comprehensive data full-chain solution
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-product-place 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 real-time effectiveness of the 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.