Google Analytics访问者流:分组网址? [英] Google Analytics Visitors Flow: grouping URLs?

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本文介绍了Google Analytics访问者流:分组网址?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我试图仔细分析我的网站访问者通过两个特定的多页面操作(例如事件注册)的方式,以确定某些访问者未完成操作的位置和原因。我试图使用谷歌分析访问者流量工具来检查数据,尤其是找出未完成访问者下一步去哪里。



我遇到的困难是开发人员如何将我们的MVC框架中的URL结构放在一起。粗略地说,这些网址看起来像这样:

  / contacts / 432 / edit / *创建新的个人资料,[0-9 ] +格式新人ID * / 
/ event_orders / 763 /编辑/ *创建新事件注册,[0-9] +新事件注册格式* /
/ event_orders / 763?success = true / *操作已完成* /

由于网址的构建方式,目前无法使用GA访问者流量分析,以查看网站用户在动作顺序中的移动方式。



我期待的是什么:我希望能够通过使用正则表达式来定义URL分组。



我知道在过滤页面视图时可以使用正则表达式,但在访问者的这些行中没有找到任何内容流程部分。如果任何事情看起来好像我需要定义网站范围的URL分组以便始终将 / contacts / [0-9] + / edit 视为相同的URL,从而将创建新事件注册页面视图分组到一个块中,以查看访问者流程。



是否可以这样做?


在原始问题中,我说明了我所希望的:我希望能够使用正则表达式定义URL分组。

解决方案

事实证明,Google Analytics的访客流量完全可以实现这一点!这是怎么做的。


  1. 加载访问者流量,并应用您需要的任何其他过滤器和分段。

  2. >在我原来的问题中,一个例子是 / contacts / 432 / edit


  3. 左键单击该节点并选择通过此处探查流量。这将转换接口,以便显示所有进入和退出该节点路径的入口路径,而不管该节点在序列中发生的位置每位访客与该网站的互动。

  4. 这将会在新显示中点击节点上方的齿轮图标。弹出一个新的对话框,允许一些匹配选项:包含,开始于,结束于,等于,以及 匹配正则表达式 strong>!


  5. 我没有plu在这里我深入了解了正则表达式的灵活性,但是对于我正在寻找的其中一个分组,我在第二个字段中输入了 / contacts / * / edit 第三个字段是可选的,但允许您为节点使用更友好的名称。

  6. $ b $ b
  7. 点击应用。现在所有匹配的URL都会被分组!

  8. 为了查看已分组的特定网址以及每个网址的一些概览统计信息,左键点击该节点并点击群组详细信息。


快乐的正则表达式!


I'm attempting to do some careful analysis of the way my website's visitors move through two particular multi-page actions (e.g. event registration) in order to determine where and why some visitors don't complete the actions. I'm trying to use the Google Analytics "Visitors Flow" tool to examine the data, especially to find out where the "did not complete" visitors went next.

The difficulty I've run into is how the developers put together the URL structure in our MVC framework. Roughly speaking, the URLs look like this:

/contacts/432/edit                 /* create new person profile, [0-9]+ format for new person ID */
/event_orders/763/edit             /* create new event reg, [0-9]+ format for new event registration */
/event_orders/763?success=true     /* action completed */

Because of how the URLs are constructed, it's currently not possible to use the GA Visitor Flow analysis to view how site users move through the action sequence.

What I'm hoping for: I want to be able to define URL groupings by using regular expressions.

I know it's possible to use regular expressions when filtering page views, but I haven't found anything along those lines in the Visitors Flow section. If anything it looks as though I would need to define site-wide URL groupings in order to always treat /contacts/[0-9]+/edit as the same URL, thereby grouping the "create new event registration" page views into one chunk when viewing the Visitors Flow.

Is it possible to do this?

解决方案

In the original question, I stated what I was hoping for: "I want to be able to define URL groupings by using regular expressions."

It turns out that Google Analytics' Visitor Flow allows exactly this! Here's how.

  1. Load up Visitors Flow, and apply any other filters and segmentations you want.

  2. Navigate through the Visitors Flow interface to find one example of the pages that you want to group. In the case of my original question, one example was /contacts/432/edit

  3. Left click on that node and select "Explore traffic through here". That will convert the interface so that it shows all the entrance paths to and exit paths from that node, regardless of where that node occurred in the sequence of each visitor's interaction with the site.

  4. Click on the "gear" icon above the node in the new display. That will bring up a new dialogue box that allows a number of "Match" options: "contains", "begins with", "ends with", "equals", and "matches regexp"!

  5. I haven't plumbed the depths of the regexp flexibility here, but for one of the groupings that I was looking for, I entered /contacts/*/edit in the second field

  6. The third field is optional, but allows you to use a more friendly name for the node.

  7. Click "Apply". Now all the matching URLs will be grouped!

  8. (Bonus) In order to see the specific URLs that have been grouped and some overview statistics of each of those URLs, left click on the node and click "Group Details".

Happy regex'ing!

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