This article walks through the complete process of creating a Spring Boot Starter that wraps the GrowingIO Java SDK, covering the motivation, project setup, property abstraction, auto‑configuration, custom logging, service implementation, and a simple test to verify the starter works in a Spring Boot application.
The Cloud Vision TV app implements a session‑id and placement‑id driven tracking pipeline that generates, collects, and processes lifecycle data across server and client layers, enabling fine‑grained engagement strategies, scene reconstruction via AC automata, and actionable BI dashboards to improve user retention and personalization.
To replace the native‑only tracking used by Xianyu after its migration to Flutter, the team built a high‑accuracy solution that mirrors the Flutter navigation stack with an index list, correctly fires enter/leave events on pushes, pops and filtered dialogs, and adds exposure detection based on 50 % visibility for 500 ms, ultimately delivering 100 % tracking accuracy in production.
