在这个例子中，我们作图访问者平均网站停留时间。
In this example, we're graphing visitors versus average time on site.
对于平均网站停留时间，反弹仍然是一个部分的计算方法。
For Average Time on Site, bounces remain a part of the calculation.
您可以查看是否有几次访问拉动你的'平均网站停留时间，向上或向下。
You can see whether a few visits are skewing your 'Average Time on Site' upward or downward.
里边包含诸如访问者、网站停留时间、最常用路径，甚至是目标转换率。
A spreadsheet with some basic metrics about like visitors, time on site, most popular funnel path, and even a goal conversion rate can make the difference. Example.
计算平均网站停留时间，谷歌分析划分的总时间为所有的访问的访问次数。
To calculate Average Time on Site, Google Analytics divides the total time for all visits by the number of visits.
通过分析来表明哪些关键字对您的网站是最重要的(通过网站停留时间、跳出率等来分析)？
Use Analytics to show which keywords are most important to your website (by time on site, bounce rate, etc)?
图形可让您以可视化的整个访问分布情况不是简单的'平均网站停留时间，在所有访问。
The graph allows you to visualize the entire distribution of visits instead of simply the 'Average Time on Site' across all visits.
这样做不仅让读者回到你的网站，但可以确保其他人谁白皮书也可以传给你的网站停留时间，也许是第一次。
Doing so not only gets readers back into your site, but ensures others to whom the white paper is passed along can also get to your site, perhaps for the first time.
这样做不仅让读者回到你的网站，但可以确保其他人谁白皮书也可以传给你的网站停留时间，也许是第一次。
Doing so not only gets readers back into your site, but ensures others to whom the white paper is passed along can also get to your site, perhaps for the first time.
应用推荐