The Grid-Based Marketing Service Platform serves as a customer engagement and marketing tool for banks, utilizing mobile and social channels for customer acquisition and retention to enhance overall productivity. Designed under the “1+3+X” architecture, the platform equips relationship managers with functions such as targeted marketing, lead generation, task reminders, customer profiling, pre-loan investigation, and business processing. It also empowers partners—defined as promoters, supporters, or collaborators aligned with the bank’s grid marketing strategy (such as local representatives)—with viral marketing tools to leverage their personal influence in product promotion. Additionally, it provides customers with a range of intelligent and convenient services.
By integrating Baidu/AutoNavi Maps, the Grid-Based Marketing Platform enables management to define branch boundaries and mark business zones or communities within a region. This allows for precise targeting of customer groups, helping relationship managers conduct more focused outreach, reduce time spent on blind canvassing, and improve work efficiency and conversion success. The platform promotes a refined grid marketing model with the principles of geographic segmentation, role assignment, and responsibility delineation—supporting performance improvement and structured task management.
The main goal of establishing grid-based marketing is to facilitate region-based management, ensuring full and seamless coverage of financial services. It allows for more efficient, granular collection and sharing of customer data, while enabling marketers to accurately record and track client needs. The model clearly defines responsibilities for grid personnel, supports assignment-based task tracking, and improves the coverage and penetration of financial products and services.
By analyzing risk signals such as abnormal transaction activity, service anomalies, public sentiment, and legal information, the platform can assess potential risks associated with grid-based clients. It also displays performance metrics for relationship managers and ranks their achievements across the bank, thereby driving performance improvement.
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Cost-Effective and Scalable Data Architecture
Built on a microservices-based Spring Cloud architecture and big data technology, the platform offers high-performance data processing and service scalability at a low total cost of ownership.
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Experience-Driven Data Modeling and Deep Analytics
By integrating partner solutions and leveraging experience-driven data models, the platform enables in-depth analysis of customer data to generate comprehensive customer profiles. Intelligent recommendations and precise insights into customer needs help reduce marketing costs and boost operational efficiency.
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WeChat Mini Programs for Seamless Marketing
Three dedicated WeChat mini programs have been developed to enable relationship managers, partners, and customers to access the platform flexibly and conveniently.

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