Tags: Google Analytics 4

You’ve probably heard it a lot lately: ‘Google Analytics is outdated.’ Many have already seen this message in their account from Google: "We’re excited to announce the new Google Analytics, designed to give you the essential insights you need to be ready for what’s next. You can access the new Google Analytics experience by setting up a Google Analytics 4 property, formerly known as “App + Web” property. " Yes, even Google admitted that our beloved Google Analytics is outdated — and it’s time to move on to something new. There are many reasons for that, but the main one is the approach to data collection, which hasn't changed since April 2005, the moment when Google acquired Urchin Software Corp.

The last article on this blog was published almost a year ago — on July 30. It’s not that I didn’t have anything to write about, but somehow I just never got around to it. Meanwhile, the desire to share knowledge has been building up all this time, and in early April, I finally sat down to write a new post. It’s still in drafts. It can wait. But today’s topic? It can’t wait. In my opinion, it’s high time everyone dove into it — because this is where the future of analytics is headed. I’m talking, of course, about the new version of Google Analytics 4 (formerly App + Web) and the setup of Ecommerce.

The importance of tracking form submissions on a website can’t be overstated — it’s one of the main ways users can leave a request. I’ve previously written articles on how to track form submissions in Google Tag Manager using a basic trigger or through validation inside the tag manager . Today, I want to show you another method — it’s suitable for forms where a thank-you popup appears after a successful submission. This method is based on using the Element Visibility trigger type. So, on the one hand, this article is about form tracking, and on the other — about working with the Element Visibility trigger.

Today’s tip is quick and simple: when you're configuring filters at the account or view level, don’t forget that fields in advanced mode use regular expression format.

Form submission is one of the main ways to collect leads on a website. The simplest way to gain more insights is to send form submission data to Google Analytics 4. There are many ways to implement forms, which means there are also many ways to track them. I’ve already written an article on how to track user interactions with forms using Google Tag Manager . But that article didn’t cover working with the basic Form Submission trigger, which I want to walk you through now.

I’ve already written in the first part of this article how important click tracking is for web analytics: Tracking Element Clicks on a Website Using Google Tag Manager . (If you haven’t read it yet — be sure to do so.) But even more important is tracking link clicks. When a user clicks a link, they might leave your site for another one — and you lose that visitor. Or they might click a phone number or email and contact you — which, of course, is much more pleasant. If you’ve read the previous article, you know that link clicks can be tracked using two types of triggers: All Clicks and Just Links . We've already covered the first one, so today we’ll focus on the second.

The three main ways users interact with your website are page views , scrolling , and element clicks. I’ve already covered the first two in previous articles. Today, let’s focus on the third.

Video production is not a cheap pleasure. And if you’ve created a video, it’s important to understand how users interact with it. If you're using Google Tag Manager in your work, tracking this is not difficult.

Scrolling is one of the primary actions users perform on a website. Tracking this behavior allows you to better understand how visitors interact with content on the page. Although GA4 can, by default, track 90% scroll depth using enhanced measurement events, this is often not enough to properly analyze user interaction. In this article, we’ll dive deeper into the possibilities of tracking scroll activity using GTM.

In standard Google Analytics reports, there are three metrics that reflect user behavior: Bounce Rate, Pages/Session, and Average Session Duration. While Pages/Session is usually interpreted correctly, in my experience, many digital marketers misinterpret Bounce Rate and Average Session Duration. In this article, I’ll explain what bounce rate really is — and share a method to improve it (read: measure it more accurately).