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customer-value

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R语言RFM客户价值分析完整项目。对2.5万条电商交易数据进行清洗,处理14.8%退货订单及3710条匿名记录。计算Recency/Frequency/Monetary指标,将4338名客户分为8类(重要价值、重要保持、一般挽留等)。可视化产出5张核心图表并整合为综合看板。主要发现:21.8%重要价值客户贡献60%营收,39.9%一般挽留客户仅贡献6.4%,678名高价值客户面临流失风险。输出客户明细及8类客户营销策略建议。技术栈:R/dplyr/ggplot2/lubridate/patchwork。

  • Updated Mar 12, 2026

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