非抽样报告自动化的历史数据 [英] Unsampled reports automation for historical data

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本文介绍了非抽样报告自动化的历史数据的处理方法,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

我们有一位客户每天接受2-4万次访问,所以我们只能获取非抽样报告,因为它超出了Google的限制:


特殊查询的500,000个最大会话数据尚未存储。


我们正在尝试收集独特访客参观1天。数据被采样后,使用Google API已被证明是无足轻重的。

我们每天都会设置非抽样报告,并将其转储到Google云端硬盘中,我们的应用程序会捡起新文件并将其下载。 我们遇到的问题是,我们需要为20份报告提供2年的每日数据。使用Google Analytics(分析)网络界面,我们可以运行非抽样报告的最大范围是在超过查询限制。因此,52周的报告x 2年x 20个不同的报告设置是2080个预定的非采样报告,这仅适用于1个客户。编辑:我们可以自动化非采样报告吗?使用GA API或任何编程方法以前面提到的约束来提取历史数据?此外,我们的确拥有Google Analytics Premium

解决方案

Cris G是避免Google Analytics中的数据采样而无需访问的唯一方法到Premium是分时技术=您将选定时间段内的数据请求分为较短时间段的查询(通常为几天)和,然后将所有数字上移。如果您的个人资料/视图没有被抽样,如果您查看每日数字,这可以解决您的问题。



然而,这不适用于唯一访客,因为它们每次都是唯一的(您每天都在运行数据请求),所以如果您的网站吸引了大量回访者,那么最有可能出现重复和虚增总数。



要自动执行一些工作,我建议您使用分析画布。它可以让你的生活更轻松,我认为它可以成为你需要的完美工具。请记住唯一身份访问者的限制(以及其他一些指标)。

尽管如此,我仍然认为最好的选择是使用Premium和能够为您的报告获取非抽样数据。


We have a client who receives 2-4 million visits a day, so off the bat we can only get unsampled reports because it exceeds google's limit :

500,000 maximum sessions for special queries where the data is not already stored.

We are attempting to collect Unique Visitors and Visits for a 1 day period. Using the Google API has proved frivolous as the data is sampled.

We have set up Unsampled reports on a daily basis that get dumped into Google Drive and our application picks up the new files and downloads them just fine. The problem we are running into is that we need 2 years worth of daily data for 20 reports. The maximum range we can run an unsampled report using google analytics web interface is 1 week before we exceed a query limit. So 52 weeks of reports x 2 years x 20 different reports to set up is 2080 scheduled unsampled reports and this is for 1 client only.

EDIT: Can we automate unsampled reports using GA API or any programming method to pull historical data with the constraints previously mentioned? Also we do have Google Analytics Premium

解决方案

Cris G, the only way to avoid data-sampling in Google Analytics without having an access to Premium is day-parting technique = you split a data-request for selected time period into shorter period queries (typically days) and then add all the numbers up. If your profiles/views are not sampled if you look at daily numbers, this could solve you issue.

However, this doesn't work on Unique Visitors, since they will be unique every single time (you are running data requests on daily basis), so there will be most likely duplicates and inflated totals if your site is attracting lots of returning visitors.

To automate some of the work, I suggest using tools like Analytics Canvas. It can make your life much easier and I think it could be the perfect tool for what you need to. Bear in mind the limitations about unique visitors (and some other metrics).

Having said that, I still think the best choice would be to use the benefits of Premium and the ability to get unsampled data for your reports.

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