Every website is different, yet we focus much of our time on the standard reports in our web analytics tools. Custom reports have been an integral
part of Google Analytics since 2008. With the new platform, we took a close look at how we could improve the custom reports to make them more usable and powerful.
每个网站都彼此不同,然而我们在网站分析工具上花费大量时间去关注标准报告。
自定义报告在2008年就开始整合到了
谷歌分析。在新平台,我们仔细看看如何改进自定义报告,使之更好用、更强大。
The Custom Reports tab
自定义报告标签
For starters, custom reports now live under their own tab, which you can find next to My Site in the main menu bar.
新手请注意下,自定义报告目前有其专属标签,你可以在主菜单栏的“我的网站”右边找到它。
The overview shows a list of all the custom reports available for your profile. You can also view, edit, or share a custom report, and, of course, you can also build a new custom report.
这个视图列出了你配置文件中所有可用的的自定义报告。你可以查看、编辑或者分享一个自定义报告,并且,当然你还可以新建一个自定义报告。
Building a custom report
建立自定义报告
As with the previous version of Google Analytics, you build a custom report by picking the metrics and dimensions you want. For the new platform, we’ve made some enhancements. Let’s walk through the creation of a custom report for measuring the effectiveness of content on this blog (borrowing from
one of Avinash’s awesome custom reports).
在上一个版本的谷歌分析中,你可以通过选择你所想要的指标及维度建立自定义报告。在新平台中,我们已经做了一些改进。让我们在这篇博客文章中大致看下如何创建检测内容效果的自定义报告。(浏览Avinash众多很棒的自定义报告之一)
Getting the right data
得到需要的数据
We saw that custom reports were most useful when focused on subset of data. For my blog report, I’ve decided that I want to only focus on referral traffic. In the old version, I’d have to combine an advanced segment with my custom report to do this analysis. With the new platform, we’ve made it possible to make the filter part of your custom report.
我们看到,当关注自定义报告子集时,自定义报告显得尤为重要。就我的博客报告来说,我决定我只想关注引荐流量。在旧版中,我不得不在我的自定义报告中组合一个高级细分来做这种分析。在新平台,我们已经使在自定义报告中使用过滤器成为可能。
You can add multiple filters to the same report, and filter on dimensions other than those you’ve chosen to use in the report. Best of all, these filters are saved as part of your custom report. As soon as you (or your boss) opens the report, you’re looking at the data you need.
你可以在一个报告中添加多个过滤器,并且可以过滤那些并非你选择在报告中使用的维度。最棒的是,所有这些过滤器都作为自定义报告的一部分保存。当你(或者你的老板)打开报告时,你们正在看所需要的数据。
Organizing your report
组织你的报告
Like the current version, you can build multiple report tabs into your custom report. This is helpful to organize your report, or build different views for people across your organization. In the new Google Analytics, you’re no longer restricted to using the same dimensions for each report tab, which allows you to truly get all of the data you care about in one custom report. There are two types of report tabs available: Flat Table and Explorer tabs.
如当前版(指旧版),你可以在自定义报告中建立多个报告标签。这对于组织报告或为组织内部不同人建立不同视角,是大有帮助的。在
新版谷歌分析中,你不再局限于为每个报告标签使用相同的维度,这允许你可以真正在一个自定义报告中获得你所关注的所有数据。有两种类型的报告可用:平面表格和探索标签。
Explorer report tabs are similar to the report view that is used across Analytics. They allow you to drill down into data, as well as add a secondary dimension. When creating an Explorer tab, you can also create Metric Groups, which help further organize your report for easier analysis. For our example, I’ve built out an Explorer tab focused on content quality metrics with a drill down into where the traffic came from.
探索报告标签类似于谷歌分析中使用的报告视图。它们允许你下钻数据,以及增加次级维度。创建探索标签时,你还可以创建指标组,这将更进一步帮助你组织报告以便简化分析。比如,我创建了一个关注内容质量的探索标签,深入分析流量来源。
Flat Table report tabs allow you to look at two dimensions side by side, meaning you don’t have to click to drill down into your data. We’ve created this report view to make it easier to export the information you care about, email it to a colleague, or simply print it out. For the example report, I have a Flat Table tab focused on where the traffic came from and the quality of that traffic.
平面表格报告标签允许你查逐一看两个维度,也即意味着你无需点击以下钻你的数据。我们已经创建了这个报告视图使之更容易导出你所关注的信息,邮寄给同事,或者只是把它打印出来。在范例报告中,我创建了一个平面表格,关注流量来源以及各流量的质量。
And here’s the finished report:
这是完成了的报告:
Sharing your custom reports
分享你的自定义报告
Once you’ve finished creating your report, you might want to share it with your team. One of the most widely used features of Custom Reports has been sharing, which allows you to share a link to your custom report configuration with others.
Like the current version, sharing a custom report in the new Google Analytics only shares the structure of the report, not the data from your account. There is one difference to keep in mind, when you share a custom report in the new version, the link will always reflect the state of the report when you first created the link. So, if you create report, share it with your colleagues, and then make further changes, the link you shared will still point to the first version of the report. You can share your reports from the Custom Reports overview. Just click the share link:
一旦你完成了创建你的报告,你可能想分享给团队其他成员。定义报告的一个最广泛使用功能便是分享,这允许你分享自定义报告配置给其他人。如当前版本一样,在GA中分享自定义报告只是分享报告的结构,而非来自你账号的数据。有一个不同点要记住:当你在新版GA中分享自定义报告时,这个链接将总是反应你首次创建该链接的状态。因此,如果你创建了报告,与你的同事分享,然后做了进一步修改,分享的链接将仍然指向该报告的第一版。你可以从自定义报告概览中分享你的报告。只需点击分享链接:
And here’s a link to the custom report example we’ve referenced throughout this post:
http://goo.gl/McSBl.
Finding a home for your old custom reports
为旧的自定义报告找一个家
Did you spend a lot of time creating the perfect custom report in the old version? Not to fear: we’ve created a migration tool to help you migrate your reports from the old version to the new Google Analytics. From the Custom Reports Overview, you’ll see a section called Migrate Custom Reports. It will let you know if you have reports to be migrated. Keep in mind that migration only works one way. Once you move your reports over the new version, you won’t be able to use them in old version.
你是否再旧版中花费大量时间创建完美的自定义报告?无需担心:我们创建了一个迁移工具来帮你把报告从旧版迁移新版的谷歌分析。在自定义报告概览中,你将看到一个“迁移自定义报告”的部分。一旦迁移到新版本,你将无法在老版本中使用它们。
Using standard reports to analyze your website can only take you so far, which is why we’ve put so much effort in making custom reports more powerful and easier for Google Analytics v5. Please continue to
give us your feedback on the new Google Analytics. Happy analyzing!
使用标准报告来分析你的网站有局限性,因此我们在GA 第五版中做出大量努力以使自定义报告更强大、更易用。 请继续给予我们你对
新版谷歌分析的反馈意见。分析快乐!
Posted by Kate Cushing, Google Analytics team
谷歌分析小组,Kata Cushing发表