Be honest, can you think of anything that’s more unfair than this: A new Google Tag Manager feature, published at 02:07 AM my time, and with an easter egg hunt involved?! Of course it was the infuriating Charles Farina who found the new feature and claimed the prize. Curses! (Just kidding Charles, you’re still awesome.) Anyway, there’s a new GTM feature in town, and oh boy, this time it’s a big’un!

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This nifty little solution will let you calculate the time spent on pages that are not tracked in Google Analytics by default. These include both bounced landing pages and exit pages. Bounced pages and exit pages lack the necessary subsequent pageview, which Google Analytics uses to calculate time-based metrics. Before you go on, read this excellent article by Yehoshua Coren: REAL Time On Page in Google Analytics Yehoshua gives a very nice use case for the technical solution I’m about to explore.

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One of the big mysteries in browser-based data collection platforms like Google Analytics is what happens when the visitor is not being tracked. This is most obvious in cases where the user explicitly opts out of tracking, when the user does not have JavaScript active in their browser, in bounced sessions, and on exit pages. Opt-outing means that the user explicitly prohibits a website from tracking them. In some cases, it’s possible that opt-out is the default, and the user must explicitly opt-in to allow GA to record their visits.

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(UPDATE 3 Apr 2017: There is a newer version of GTM Tools out, so please ignore this article and read this one instead.) So, the time has come to update my GTM Tools. I released the first toolset in October 2014, and it performed its duties just well enough. Sure, the UI was ugly as hell, and there were bugs along the way, but for cloning containers, macros, and rules, and for visualizing containers, it was just good enough.

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Google has a myriad of ways to make the search engine results page (SERP) livelier. When you input a search query, the engine’s mission is to provide you with the most relevant information with as few clicks as possible. Often, this means that you’ll see the answer to your query directly in the SERP: See also Dr. Pete’s excellent description of variation in the SERP (note that this post is from 2013, and not all the data types are relevant today).

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(Updated 21 February 2019) The current version of Google Tag Manager was released in October 2014. With the release, we saw a brand-spanking new UI, a lot of new functionalities (revamped auto-event tracking, for example), plus a new terminology to cope with. We moved away from the programming-centric concepts of Macros and Rules to the more tactile variables and triggers. It’s difficult to rank the changes. The new Auto-Event Tracking is perhaps most impactful, but the improvements done to triggers and variables, when compared to the previous version of GTM, require attention as well.

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My fingers have been tingling to write this article. Ever since I implemented Enhanced Ecommerce on my blog a couple of weeks ago, I’ve been getting such an impressive amount of useful data that it’s mind-boggling. In this article, I’ll walk you through the steps I went to implement the solution, along with examples of the data I can now access through Google Analytics’ reporting interface. As you might have guessed, if you’ve read my articles before, I implemented Enhanced Ecommerce with Google Tag Manager.

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