So here we are again. Universal Analytics and Google Tag Manager, the dynamic duo, ready to strike again. First, remember to check my previous two tips for UA and GTM use in custom scenarios: Weather as a custom dimension Tracking page load time In this post, I visit the idea of adjusted bounce rate, which I came across a year ago in the Google Analytics blog. Adjusted bounce rate basically refers to tweaking the traditional bounce rate collection method (single engagement hits / total visits) so that visits which only included a single page view would not count towards a bounce, as long as they met some qualitative requirements.

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In Google Analytics, you can monitor your site speed and get a decent overview of what pages are contributing positively and negatively to site speed. The problem with page load time metric is that it’s an average based on a sample. You can modify the sample rate with setSiteSpeedSampleRate(), but for me that’s not bloody well good enough. (UPDATE 28.3.2014: This post is still valid, but an implementation with User Timings is a much smarter way to measure actual page load time.

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There is a new version of this post for GTM V2 here. [Last updated June 2014] I’ve fallen in love with Universal Analytics and Google Tag Manager. Together they form an incredibly powerful tool for marketing professionals. In most cases, I no longer need to post recommendations to my client for yet another page template revision, since with the tag manager in place, I can just add custom code via the admin panel.

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