<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Google Analytics on Lin's Blog</title><link>https://coder.tw/en/tags/google-analytics/</link><description>Recent content in Google Analytics on Lin's Blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 19 Feb 2017 10:15:29 +0000</lastBuildDate><atom:link href="https://coder.tw/en/tags/google-analytics/index.xml" rel="self" type="application/rss+xml"/><item><title>Google Analytics Exception Tracking</title><link>https://coder.tw/en/posts/google-analytics-exception-tracking/</link><pubDate>Sun, 19 Feb 2017 10:15:29 +0000</pubDate><guid>https://coder.tw/en/posts/google-analytics-exception-tracking/</guid><description>&lt;p&gt;Google Analytics has a hidden feature called exception tracking. It collects error messages from a website&amp;rsquo;s front end or back end (or from an app) so you can analyze them. Here&amp;rsquo;s an example from my recent project. When a user fills out a form and submits it, I validate the information they entered. If they forgot to fill in a field, the error message is sent to GA. Afterward, I check how many times that error message appeared in GA. To some extent, this can suggest whether the interface design is poor and causing users to skip that field.&lt;/p&gt;</description></item><item><title>Google Analytics Tips: Let Annotations Tell Your Future Self Why Traffic Goes Up and Down!</title><link>https://coder.tw/en/posts/google-analytics-tips-annotations/</link><pubDate>Sun, 29 Jan 2017 23:55:48 +0000</pubDate><guid>https://coder.tw/en/posts/google-analytics-tips-annotations/</guid><description>&lt;p&gt;Every time you redesign your website or run an experiment, your Google Analytics data changes. For example, the bounce rate might go up. You may remember the reason for a big change in traffic or data for a short while. But if a year goes by, can you still remember why? Just as code needs comments, Google Analytics has a built-in annotation feature that lets you write notes on specific dates. That way, when you read your reports, you&amp;rsquo;ll understand what happened to cause the change in traffic!&lt;/p&gt;</description></item></channel></rss>