Google Analytics（分析）：如何合并历史数据的规范网址 [英] Google Analytics: How to merge canonical URLs for historical data

问题描述

我有一个依靠查询字符串的单页在线应用程序。 Google Analytics（分析）跟踪已添加，但直到几天后才添加了规范元，所以现在Google Analytics因为查询字符串，例如/ app中的差异而显示同一页的多个条目/？s = 4324,543,12421和/ app /？s = 5234,86754，而规范只是/ app /\".

一种合并GA中已经被规范化的额外页面数据（在报告>行为>概述中）的方法？ 解决方案

据我所知，没有办法改变历史数据（除了交易数据的黑客解决方案外）。虽然我不记得在文档中提到我们不重新处理历史数据的单个句子，但它暗示了几个occiasion（即尺寸加宽不适用于历史数据，因为它不会被重新处理）。

一旦Google Analytics（分析）处理完数据并将其存储起来在
数据库中，它永远不会被更改。这意味着历史数据
永远不会被修改或重新处理。在设置或
配置过程中发生的任何错误都会永久影响数据的质量。

因此，答案是否定的，你不可以做这个。您可以使用过滤器来获取汇总值（并将过滤后的报告存储为快捷方式），但无法更改已处理的数据（在界面中 - 您可以随时导出到Google Spreadsheets并从那里开始工作）。

I have a single-page online app which relies on query strings. Google Analytics tracking was added, however canonical meta wasn't added until a few days later, so now Analytics is showing several entries for the same page because of a difference in the query string, e.g. "/app/?s=4324,543,12421" and "/app/?s=5234,86754" whereas the canonical is just "/app/".

Is there a way to merge data for the extra pages (in Reporting > Behavior > Overview) in GA which have since been canonicalised?

解决方案

To my best knowledge there is no way to change historical data (except for a hackish solution for transaction data). While I can't recall a single sentence in the documentation that says "we don't reprocess historical data" it is implied at several occiasion (i.e. things like dimension widening are not applied to historical data because it won't be reprocessed).

Cutronis GA book says it directly:

Once Google Analytics has processed the data and stored it in the database, it can never be changed. This means historical data can never be altered or reprocessed. Any mistakes made during setup or configuration can permanently affect the quality of the data.

So alas the answer is no, you cannot do this. You can use filters to get the aggregated values (and store the filtered report as a shortcut) but you cannot change data that is already processed (within the interface - you can always export to Google Spreadsheets and work from there).

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