This article presents a comprehensive guide to growth analysis, covering basic methodologies, construction of a growth metric system, end‑to‑end analysis loops, practical case studies, emerging metric scenarios, and the upgraded professional version of the growth analysis platform.
This article explains the scientific foundations, historical origins, statistical principles, implementation techniques, and practical applications of A/B testing as a data‑driven growth tool for product optimization, algorithm iteration, and marketing decisions in modern internet companies.
This article explains AB testing—from its biomedical origins and online adoption to its types, three essential components, core values of causal validation and quantitative growth, and key characteristics of pre‑evaluation and parallelism—providing a comprehensive guide for data‑driven product optimization.
The Youzan Big Data Technology Salon brought together Youzan, NetEase and Didi to share practical approaches for cutting data‑infrastructure costs, building an Apache Iceberg‑based data lake, scaling Flink real‑time workloads, and creating a data‑driven growth platform that leverages tracking, A/B testing and analytics.
Youzan created an internal A/B testing platform—combining Java/Node SDKs, a real‑time data pipeline, and a metadata‑driven workflow—to enable data‑driven product iteration, granular traffic allocation, automated logging, statistical analysis, and scalable growth insights across its merchant services, while planning further automation and integration.
The 2017 Suning Internet Product Manager Forum gathered over 500 professionals to share data‑driven product, marketing, and O2O strategies, offering practical insights from leading e‑commerce and tech companies on growth hacking, precise targeting, and innovative retail solutions.
