Last updated 18 Jan 2019: Added details about the free tier limitations, and showed how to avoid the Dataflow jobs auto-scaling out of control. I’m (still) a huge fan of Snowplow Analytics. Their open-source, modular approach to DIY analytics pipelines has inspired me two write articles about them, and to host a meetup in Helsinki. In my previous Snowplow with Amazon Web Services guide, I walked you through setting up a Snowplow pipeline using Amazon Web Services.

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If you’re a user of the free version of Google Analytics, and if you have a free Google Analytics property collecting hits exclusively from the Google Analytics Services SDK (Android or iOS), you might have recently received an email that looks like this (emphasis mine): In a nutshell, Google is now starting the process of deprecating the “legacy” Google Analytics for Mobile Apps. This covers all data collection SDKs that do not have the word “Firebase” in them.

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UPDATE 4 June 2020: Instead of copying the Custom HTML code from the article, please load it from the GitHub Gist instead. Four years ago, I wrote an article on how to persist GTM’s dataLayer from page to page. Unfortunately, the solution was a bit clumsy, requiring you to give specific commands for the interactions, which made it really unwieldy in the long run. Google Tag Manager still doesn’t offer us a native way to persist the dataLayer array or its internal data model from one page to the other, so I thought it was about time I revisit this idea.

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Over 5 years ago, I wrote an article titled Track Adjusted Bounce Rate In Universal Analytics. It basically explored a number of different methods to tweak the Bounce Rate metric so that it becomes more meaningful in your Google Analytics reports. Now, writing that article wasn’t necessarily my proudest moment. It’s not because the solution was poor, but rather because I was suggesting it makes sense to tweak a metric. The concept of “adjusted Bounce Rate” sounds like the analyst is fixing a metric to be more beneficial to their cause, rather than fixing the business problem that caused the metric to be poor in the first place.

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It’s time for a big feature update to my GTM Tools, a free tool for managing your Google Tag Manager containers, tags, triggers, variables, and now: workspaces. In this article, I’ll quickly go over the main features of Workspace mode. Be sure to check out the updated Release Notes & User Guide. Introduction First of all, you can access Workspace mode through the container selection screen, or via the container page:

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Enhanced Ecommerce is certainly one of the finest reporting user interface features that Google Analytics has to offer. Enhanced Ecommerce, as the name implies, is a set of dimensions, metrics, and reports, which combine to provide you with a fairly complete view into how users are interacting with your products in your webstore. The main downside of Enhanced Ecommerce is, as with all good things, that it’s complicated to implement.

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**Last updated 18 September 2020: Due to how most browsers now have third-party cookie protections in place, this solution will be very ineffective going forwards. You should instead take a look at a cookieless solution. Some years ago, I wrote a post on how to track cross-domain iframes when using Google Tag Manager and Google Analytics. That solution relied on hitCallback to decorate the iframe, and now that I look back on it, it has its shortcomings.

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