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 帮助我们将仁和App、官网和官微等分散在各处的数据进行整合打通，并完成了指标体系、标签体系的搭建；逐步实现了运营场景落地，实践线上数据化营销活动。
GrowingIO 帮助我们将仁和App、官网和官微等分散在各处的数据进行整合打通，并完成了指标体系、标签体系的搭建；逐步实现了运营场景落地，实践线上数据化营销活动。
Frequently asked questions
- 如何用 CDP 解决数据孤岛？
- 通过多源数据接入、OneID 身份整合、统一标签体系和统一用户视图，把分散在不同系统中的客户数据连接起来，为后续分析和运营提供一致口径。
- 是否支持私有化部署？
- 支持。GrowingIO分析云下的所有产品都支持 SaaS 与私有化部署，可根据企业在数据安全、合规、系统集成和管理要求上的差异选择合适的交付方式；如需结合具体业务场景评估部署方案，可进一步咨询。
- 商品、用户、门店的标签体系可以统一管理吗？
- 可以。用户、商品、门店等业务对象可以在统一标签体系下管理，便于做人货场匹配、会员运营和多对象协同分析。
- 数据可以导出并与企业内部系统集成吗？
- 可以。支持通过订阅实时数据、导出离线数据及 OpenAPI 等方式，与企业内部或第三方系统集成使用。
- 实时标签的时效性如何？
- 标签可按秒级更新；具体实时标签数量和资源配置可根据业务规模进一步评估。