This article is a guest article by someone from the analytics community I really look up to. Dan Wilkerson is an analytics developer at Bounteous, a company I hold in high esteem. Dan is one of the smartest technical analytics experts out there, and a large bulk of the awesome scripts and hacks that Bounteous produces (almost on a daily basis) have been orchestrated by him. So I’m very pleased to give the floor to Dan, so that he can tell you all about using the pesky document.

Continue reading

Quite a while ago, I wrote an article on what I considered (then) to be my favorite Google Tag Manager resources. Many of them are still very valid, but I still wanted to write a follow-up. Times have changed, and GTM is very different from what it was two years ago when I wrote the post. So in this article, I want to divert your attention to 10 blogs, 10 articles, and 10 people - all which are and/or share excellent Google Tag Manager content on a periodic basis.

Continue reading

Back back to the friggin’ basics. Almost two years ago, I wrote a two-parter on how to have fun with Google Tag Manager: Part 1, and Part 2. The first part had a nice exercise for tracking JavaScript Errors as Google Analytics Events, using the recently published “JavaScript Error Listener” Tag. Well, that was in GTM V1. Now we’ve been smoothly sailing with the wonderful new interface for well over a year, and it’s time to update some of these nifty tricks.

Continue reading

A couple of days ago, I wrote an article on tracking content engagement. Even though the solution itself works, and it’s a really neat trick if I can say so myself, it has its problems. After all the glory I showered on User Timings in Google Analytics, they have one serious flaw: they cap at 10,000 samples per day. What a ridiculous, arbitrary limit. In any case, this means that if you have enough traffic to accumulate 10K user timing hits per day, it means that the solution I provided in the previous article will not work for you, as the Pageviews will not be capped, meaning the calculation of Total Engaged Time / Pageviews will be skewed.

Continue reading

When looking at Google Analytics reports, you’d think you get a pretty good idea of how people are interacting with your site, right? I mean, you’re tracking events here, pageviews there, and user timings, custom dimensions, custom metrics, and calculated metrics are all part of your daily lingo. But you’re also probably aware of how futile this tracking is. After all, all you’re seeing are numbers that reflect certain outcomes the visitors have produced on the website, and how these outcomes match against your preconceived goals and objectives, right?

Continue reading

Every now and then I run into a problem which needs some creativity to find a fix. When choosing a course of action, I tend to land first on an extremely complicated solution. However, if I’m patient enough, I manage to whittle it down to something far more manageable and efficient. In this #GTMTips post, I’ll show you one of these extremely simple solutions to a problem which you might normally overcomplicate.

Continue reading

In this article, I’m going to tackle one of the most frequently asked questions out there: Can you run Google Analytics using the snippet AND using a Google Tag Manager Tag on the same page? There are many facets to this query, so I’ll try to tackle as many of them as I possibly can. First, a terminology rant. You hear lots of talk about “on-page” and “inline” Google Analytics tracking, as that’s what’s used to describe the non-GTM way of tracking Google Analytics.

Continue reading