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134 W. Sta●●●●●●●●●●, Suite 1H
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Computers By Campus
G. David Fetters
134 W. Sta●●●●●●●●●●, Suite 1H
West ●●●●●yette , Indiana, 47906
United States
View this contact
Computers By Campus
G. David Fetters
134 W. Sta●●●●●●●●●●, Suite 1H
West ●●●●●yette , Indiana, 47906
United States
View this contact
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网站数据分析- joegh | 又一个 WordPress 站点
流失用户的定义请参考 网站的活跃用户与流失用户 这篇文章，要解释怎么样合理地去定义用户流失时间段长度的问题，需要先介绍一个新的指标概念 回访用户. 这里的回访用户不是指Google Analytics上面的Returning Visitor 与新用户相对，指之前访问过网站的用户再次访问网站 ，这里的回访用户指流失之后再次访问网站的用户，即用户曾经流失过，满足流失时间期限内完全没有访问/登录网站的条件，但之后重新访问/登录网站。 用户回访率 = 回访用户数 流失用户数 100%. 根据设定的不同流失周期的用户回访率的变化曲线，我们可以使用 拐点理论 Elbow Method. 拐点理论 X轴上数值的增加会带来Y轴数值大幅增益 减益 ，直到超过某个点之后，当X增加时Y的数据增益 减益 大幅下降，即经济学里面的边际收益的大幅减少，那个点就是图表中的 拐点。 2013 年 8 月 8 日. 之前看过Inmon的 构建数据仓库 和 DW 2.0 ，而另外一位数据仓库大师Kimball的 数据仓库生命周期工具箱 一直没有时间阅读，最近才有时间看完了大部分，就迫不及待想写点东西了。 2013 年 5 月 23 日.
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