Google Analytics和Adobe Analytics对于退出率的计算

Google Analytics

GA中的退出率的定义是：%Exit is (number of exits) / (number of pageviews) for the page or set of pages. It indicates how often users exit from that page or set of pages when they view the page(s).

就是页面退出率是该页面的推出量/该页面的浏览量

在自定义报告中提取如下数据：

用Exit/PageView，如498/979=0.5087,208/276=0.7536

谷歌分析中的页面退出率是该页面的推出量/该页面的浏览量

Adobe Analytics

AA的退出率定义是退出次数/访问

我们在workspace中拉出如下数据

用退出次数/访问，317/504=0.63,58/156=0.37，

Adobe对访问的定义是：

• 30 minutes of inactivity: Almost all sessions end in this manner. If more than 30 minutes has lapsed between image requests, a new visit begins.
• 12 hours of consistent activity: If a user fires images requests without a 30+ minute gap for 12 hours, a new visit automatically starts.
• 2500 hits: If a user generates a large number of hits without starting a new session, a new visit is counted after 2500 image requests.
• 100 hits in 100 seconds : If a visit consists of more than 100 hits that occur in fewer than 100 seconds, the visit automatically ends. This behavior typically indicates bot activity, and this limitation is enforced to prevent these processing-intensive visits from increasing latency and increasing the time it takes to generate reports.

简单总结就是满足以下四点的任何一条，就需要加一个访问：

1. 用户在网站里30分钟不活动。

2. 用户连续12小时在网站中。

3. 用户在网站中点击超过2500次。

4. 用户在100秒内点击了100次。

对应的有些类似GA的会话了，但规则不同。

所以计算过后两者会有些差异的，如果GA替换成会话，就会跟AA的更接近。

综上，GA和AA的退出率计算是有很大的不同，GA的直接基于pv的，AA是基于访问

GA的退出率是该页面退出的次数/该页面访问次数

AA的退出率是该页面退出的次数/该页面的访问