array(35) { ["id"]=> string(4) "2050" ["type"]=> string(6) "course" ["title"]=> string(87) "基于某电商销售数据的群组分析：客户保留率、按数量和收入细分" ["subtitle"]=> string(0) "" ["creator"]=> array(6) { ["id"]=> string(1) "3" ["nickname"]=> string(5) "admin" ["title"]=> string(1) " " ["uuid"]=> string(40) "634d3b58166bfafd4069119be97ee6bfee064c52" ["destroyed"]=> string(1) "0" ["avatar"]=> array(3) { ["small"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["middle"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["large"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" } } ["showable"]=> string(1) "1" ["buyable"]=> string(1) "1" ["summary"]=> string(570) "

电商数据分析在现代商业环境中扮演着重要角色，通过对电商平台上的大量数据进行分析，企业可以深入了解消费者行为、市场趋势以及竞争对手的情况。从而优化经营战略，提升销售效益。 本案例使用Cohort Analysis群组分析，将某电商销售后台数据分成相同权重进行层层分析，按照销售数量和企业收入的维度细分从而衡量用户在每个漏斗的用户流失节点、用户流失数据，从而帮助企业发现产品的摩擦点和用户的行为模式。

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电商数据分析在现代商业环境中扮演着重要角色，通过对电商平台上的大量数据进行分析，企业可以深入了解消费者行为、市场趋势以及竞争对手的情况。从而优化经营战略，提升销售效益。 本案例使用Cohort Analysis群组分析，将某电商销售后台数据分成相同权重进行层层分析，按照销售数量和企业收入的维度细分从而衡量用户在每个漏斗的用户流失节点、用户流失数据，从而帮助企业发现产品的摩擦点和用户的行为模式。

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中国经管实验教学案例平台

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