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User growth encompasses acquiring, activating, retaining, and monetizing users, focusing on increasing Lifetime Value (LTV) while reducing acquisition costs, and is explained through models such as AARRR, RARRA, Growth Loops, and the 6R framework.
This article explains the concept of a metric system, why it is essential for fine‑grained product operations, and demonstrates how NetEase Media built a comprehensive data metric system using the North Star metric, OSM, and AARRR models within a layered big‑data warehouse architecture.
This article explains how user profiling, using the AARRR and RARRA frameworks, can be applied at every stage of the e‑commerce user lifecycle—from pre‑arrival acquisition to post‑departure analysis—to drive product optimization, personalized services, and data‑driven decision making.
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This article explains user growth concepts, presents evolving growth models and a user lifecycle curve, maps the AARRR framework to lifecycle stages, and details how targeted subsidies—supported by data, AI, and economic analysis—can be optimized to boost retention, efficiency, and ROI while managing risks.
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This article explains the AARRR (Acquisition, Activation, Retention, Revenue, Referral) growth funnel, outlines the four product lifecycle phases, and demonstrates how combining the two frameworks can guide resource allocation and strategy across each stage, illustrated with a hypothetical shared‑bike case study.