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This article explains the concepts, core design principles, construction workflow, and practical value of tag systems within a Customer Data Platform, illustrating how tags are built, managed, and applied across industries such as automotive, retail, and finance to enable precise marketing and analytics.
This article describes the background, objectives, module division, system design, technical challenges, and solutions of a fine‑grained C2B operation platform that uses user profiling, precise targeting, and Redis sharding to improve conversion rates and ROI.
The article outlines how a unified, big‑data‑based user profiling platform addresses traditional data silos, high costs, and limited functionality by standardizing tags, integrating Spark and RHadoop processing, and enabling a closed‑loop marketing workflow that improves accuracy and operational efficiency.
This article explores why the automotive industry's shift to new energy vehicles necessitates a redefinition of the Customer Data Platform (CDP), detailing the changing traffic structure, varied departmental demands, CDP typologies, implementation strategies, and the benefits of a unified, extensible CDP architecture for marketing, sales, and after‑sales.
Shopee’s off‑platform ads delay service combines Redis Zsets for expiration tracking, HBase for payload storage, and Kafka for queuing to reliably process up to 6 million tasks per minute with minute‑level delays ranging from one minute to thirty days, achieving horizontal scalability, fault tolerance, and a 75 % reduction in Kubernetes resource usage.
The article explains how marketing automation platforms adopt industrial‑grade workflow engines to streamline complex user‑journey processes, outlines sequential, state‑machine and rule‑driven engine types, describes a self‑developed engine’s core modules and service interfaces, and highlights performance, versioning, plugin and monitoring considerations.
NetEase Yanxuan’s Olympus platform introduces dynamic page‑floor sorting that automatically reorders product modules in real time using a multi‑armed‑bandit algorithm, delivering faster, more accurate and stable personalized marketing, improving exposure efficiency, ROI and handling peak traffic with sub‑40 ms rendering.
To orchestrate multi‑channel marketing activities, the article explains how a finite‑state machine models status flows, compares conditional, state‑pattern, and DSL implementations, evaluates Spring Statemachine, Squirrel, and Cola frameworks, and showcases Vivo’s high‑performance DSL‑based FSM as a practical solution.
This article presents a comprehensive overview of user‑portrait applications across industries such as internet TOC, e‑commerce, security and finance, explains product functions like tag metadata management, single‑user profiling, crowd selection and SOP, and details the underlying big‑data pipeline, ETL scheduling, data‑warehouse layers and technology stack required to support these use cases.
The Vivo Internet Server Team demonstrates how applying classic design patterns—factory, template method, strategy, and state—alongside finite‑state machines or workflow engines can dramatically improve the scalability, maintainability, and extensibility of a visual marketing automation engine for rapidly changing business scenarios.
This article explains the need for marketing automation, analyzes requirements, proposes system capabilities, presents a four‑layer architecture inspired by IDE/JVM concepts, and details the FSM‑based engine model with trigger, action, and execution strategies for complex multi‑step marketing scenarios.
This article describes how Qunar built a Component Management System (CMS) that enables reusable, configurable marketing pages across app, H5 and mini‑programs, detailing the business needs, architectural decisions, multi‑end rendering, risk controls, operational workflow, and the resulting cost and experience benefits.