I’ve already written extensively about JavaScript in web analytics implementation. Suffice to say, understanding at least the basics is absolutely necessary to survive in the technical medium of the web browser. This article expands on a conference talk I gave at MeasureCamp IX, London a short while ago. I’ve always been quite single-minded about the importance of JavaScript in web analytics development, and it was a pleasure for me to get some of that off my chest.

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It’s been a crazy week. Just crazy. Not only did Google Tag Manager introduce Workspaces, arguably one of its most important releases ever for GTM, but they also revamped the user interface! So very big changes have been underfoot, and I’m so happy to be writing about them, because in my completely biased opinion these changes are amazing and well worth the long wait. In this article, I want to quickly walk you through what I think are the most meaningful changes in the interface.

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Well, well, well. Welcome to the Enterprise Game, Google Tag Manager! You know, if you took a look at all the feature requests and complaints that pass through the Google+ community or the Product Forums, you’d notice that a large portion of them revolve around lack of multi-user and multi-team support in the tool. Well GTM has taken a gigantic leap forward to soothe these concerns, with the release of its latest feature: WORKSPACES.

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Cross-domain tracking, in Google Analytics, is the process of passing information stored in browser cookies from one domain to another. Due to web browsers’ same-origin policy, a browser cookie is only available to the domain it is written on and all its subdomains (by default). Since Google Analytics uses cookies to persist the Client ID, once the user moves from domain to domain it’s important to somehow pass this Client ID, too.

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Last updated 2 March 2018. Every now and then you might be urged to run Google Tag Manager and/or Google Analytics locally, meaning without the benefit of a web server serving your files. In other words, you’re loading an HTML file from your computer in the web browser. You can identify a locally run file by the file:/// protocol in the address bar. Now, deploying Google Tag Manager onto that file with the hopes of running Google Analytics requests locally isn’t quite simple.

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There are times when I’m disappointed with Google’s developer documentation, especially for Google Tag Manager. Most of the time they get it right, and I’d say around 80% of questions being thrown around the forums can be answered just by reading through the documentation. But there are some cases where the documentation is misleading or even downright dangerous. One of these cases is Enhanced Ecommerce. This isn’t going to be a thorough critique of said documentation, but the tip in this post has to do with one of the examples that the documentation gives for measuring Product Clicks.

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Enhanced Ecommerce is a very useful set of reports in Google Analytics. They extend the standard Ecommerce funnel, which measures only purchases, and allow you to observe products from the very first impression, through various interactions, all the way to the purchase and even beyond, if the user wanted a refund. Google has some solid documentation on how to implement and interpret Enhanced Ecommerce, but if there’s one area that would deserve more illumination, it’s attribution.

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