-
About Us+
-
Products+
-
Solution+
-
Cases+
-
AI Lab+
-
Investor+
-
Contact+
-
Join Us +
-
-
Trial+
About Us+
Products+
Solution+
Cases+
AI Lab+
Investor+
Contact+
Join Us +
Trial+
Data Management
Marketing Intelligent Decision
Accurately Reach
Marketing Evaluation
Ruihedata Link-C aims to provide enterprises and financial institutions with integrated marketing solutions that feature end-to-end intelligence, mobility and ultimate customer experience, empowering them for all-dimensional connection with and precise management of their customers. This Marketing Intelligence Platform (MIP) offers a full package of marketing intelligence ranging from marketing data management, intelligent decision making, targeted engagement, to performance assessment & feedback.
Customer Intelligence
including tagging and grouping for customer segmentation, customer life-cycle staging (5 stages), focus group for marketing (20+ categories), and metrics for model-based assessment (30+ models including product response, customer enhancement, cross-sell, etc.). Marketers can use existing tags and customer grouping to flexibly define and generate target groups, which can be reused in future marketing campaigns. Figure 1 illustrates the intelligent customer grouping of Ruihedata MIP.
Marketing Strategy Library & Event Template
The templates cover more than 150 marketing scenarios, divided into three categories (product sales, customer operation and customer service) and over 10 subcategories, involving customer life-cycle, marketing events, product life-cycle, calendar holidays and other metrics. Marketers can use the templates in Link-C to plan campaigns, refer to peer experience, and improve campaign performance. Past campaigns with outstanding performance can also be formatted either as personal campaign templates or as reference for colleagues. Figure 2 shows the marketing campaign templates in Ruihedata MIP and how they are categorized.
Marketing Campaign Management & Automation
It allows marketers to plan, create, approve and launch campaigns and manage campaign types and versions online. Marketing assets in campaign implementation, such as marketing collateral, script, communication, response, success criteria, products, and loyalty program benefits, are also managed and configured in Link-C. Ruihedata MIP automates the process of intelligent customer grouping, marketing strategy, marketing execution, marketing coordination, customer engagement, as well as campaign feedback & assessment, greatly reducing repetitive manual workload and making the entire process more effective. Figure 3 shows an outbound telemarketing scenario for installment product on Ruihedata MIP.
Interactive Marketing PMrocess & Customer Insight
so that marketers have one-view access to customer grouping, strategy, channels, marketing assets, and other content to quickly deploy campaign strategies. Customer group counting and customer insights in Ruihedata facilitate customer profiling, helping marketers quickly understand their target customers, and providing data and analytic support for marketing strategy configuration.
CHANNEL COLLABORATION & CUSTOMER REACH MANAGEMENT
提高转化率
防止打扰
协同互补
全方位接触
多个渠道
Marketing Activity Evaluation & Feedback
The Ruihedata Marketing Assessment Reporting System evaluates marketing execution and effectiveness from multiple perspectives within the organization (from management cockpit, branches and departments, to individual campaigns) and in multiple dimensions (including customer grouping, products and channels). Ruihedata MIP integrates more than 80 success criteria for marketing campaigns across financial business lines. With 100+ templates of campaign reports, it automates campaign assessment and enables marketers to continuously optimize marketing campaigns based on their assessment. Figure 4 shows marketing report templates in Ruihedata MIP.
Big Data Platform Support & Microservice Architecture
Ruihedata MIP adopts a micro-service architecture and big data technologies to support private deployment. Big data technologies are applied for business data storage and computation, including Hive, Spark, Impala, Redis, Presto, etc. It also supports Oracle, MySQL, PostgreSQL and other relational databases, offering users more options. The application layer is built on a micro-service architecture to decouple modules, laying the foundation for flexible deployment, updating, testing and high availability of marketing applications, and ensuring their horizontal and vertical scalability. Figure 7 illustrates the technical structure of Ruihedata MIP.