如何计算平均滚动深度? [英] How to Calculate Average Scroll Depth?

问题描述

我正在尝试计算网站上页面的平均滚动深度.在Google Analytics(分析)中，我会以10％的增量里程碑触发事件，因此，当用户到达页面下移10％，20％，30％等时，事件就会触发.我为每个里程碑都有一个自定义指标(因此我可以通过指标或事件进行跟踪).

I am trying to calculate the average scroll depth of a page on a website. In Google Analytics, I have events that fire at milestones of 10% increments—so when a user reaches 10% down the page, 20%, 30%, and so on. I have have a custom metrics for each milestone (so I can track via the metrics or via the events).

我的问题是:有了这些信息，如何计算页面的平均滚动深度?换句话说，如何找到用户向下滚动页面的平均距离?

My question is: with this information, how to I calculate the average scroll depth of the page? Or in other words, how do I find the average distance a user will scroll down the page?

事件数据示例:

Milestone Events 

10%       500
20%       400
30%       475
40%       300 
50%       200 
60%       100
70%       75 
80%       60  
90%       20
100%      10

自定义指标数据的示例:

Example of custom metric data:

Page     10 Scroll  20 Scroll  30 Scroll  40 Scroll  50 Scroll  60  Scroll  70 Scroll  80 Scroll  90 Scroll  100 Scroll

Name     500         400        475       300         200        100          75        60          20          10

推荐答案

我正试图解决同样的问题.尝试将滚动阈值乘以事件数 (10x500)+(20x400)+(30x475)+(40x300)+(50x200)+(60x100)+(70​​x75)+(80x60)+(90x20)+(100x10)

I was trying to solve this exact same thing. Try multiplying the scrolled threshold by the number of events (10x500) + (20x400) + (30x475) +(40x300) + (50x200) + (60x100) +(70x75) +(80x60) + (90x20) + (100x10)

然后，将总数除以事件总数. 500 + 400 + 475 ...等.

Then, take that total divided by the total number of events. 500 + 400 + 475... etc.

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