Google Tag Manager (GTM) allows your team to collect data essential to making smart marketing decisions.
Understanding the benefits of GTM and how to properly utilize it can be a challenge, so we’ve put together this guide as a reference point. You’ll learn how to set up your own account and get the most out of it.
Google Analytics 4 is the next generation of Google Analytics. For the first time ever, Google has rebuilt it’s platform from the ground up, transforming how data is collected to deliver holistic measurement across websites and mobile apps.
Unlike previous upgrade iterations, GA4 is a brand-new product. This means starting afresh, with a new learning curve to navigate.
In this guide, we’ll cover everything you need to know about GA4, including how it differs from UA, why you should use it, and how to get started. We’ll also delve into some of the platform’s new reporting features to demonstrate how it can help you learn more about user behavior.
Third-party cookies are the new Flash. Safari and Firefox have already started to wean advertisers from them. Now, reluctantly, Google is, too.
Google plans to end Chrome’s support of third-party cookies by 2022, and they created a Privacy Sandbox to test new ideas and solicit feedback. Decisions that affect Chrome—with a nearly two-thirds market share—are decisions that affect the Internet, especially paid advertising.
Google Analytics 4 (GA4) officially launched in October 2020. Google’s update has left marketers and business owners scrambling to figure out how GA4 will affect their current (and future) marketing and data efforts.
Do you need to rush to install it on all your sites? What makes GA4 so different compared to the current version of Google Analytics?
In this article, we’ll fill you in on what you need to know.
When you hear “data segmentation”, it’s tempting to feel overwhelmed. Why? Segmentation can seem daunting (or boring) to those unfamiliar with it.
It’s an unfortunate because segmentation is perhaps one of the most effective tools at our disposal. The ability to slice and dice your Google Analytics data is the difference between mediocre, surface-level insights and meaningful, useful analysis.
In this article we’ll show you how to setup your Google Analytics to unlock actionable insights.
Not long ago, it was common for marketers and web analysts to spend the bulk of their day staring at Excel spreadsheets, manually collecting and organizing ad spend data across dozens of sources.
You had to go to each advertising account and export statistics on advertising campaigns, such as ad impressions, clicks, and costs, then export data from the web analytics system, and, finally, combine all the data manually.
Not an optimal use of time.
For a long time, I considered standard Google Analytics reports to be the best way to get useful insights. From time to time, I struggled with sampling, limitations, and weird results, but I didn’t see a way around it—until I discovered Google Analytics 360 and raw data exports into Google BigQuery.
After a few hours playing around with SQL, I was already able to deliver insights I never could have with aggregated Google Analytics reports. Since that day, I’ve been exploring how raw data can be a web analyst’s best friend.
Google Analytics shows 104 conversions. Your CRM shows 123 new leads. Heap reports 97. And so on.
It’s easy to get frustrated by data discrepancies. Which source do you trust? How much variance is okay? (Dan McGaw suggests 5%.)
For most companies, Google Analytics is a—often the—primary source of analytics data. Getting its numbers aligned with other tools in your martech stack keeps results credible and blood pressure manageable.
For companies that build their analytics on Google products, purchasing Google Analytics 360 is a symbol of maturity.
As a business grows, it inevitably runs up against limitations of analytics tools. For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns.
It’s one of many potential business needs that could affect your decision to upgrade to a Google Analytics 360 license. But is it worth the serious investment?
Set up the measurement tool. Clean and process the data. Turn it into information. Analyze it. Extract insights.
That’s hard work. But to have value, there’s still another step—the work must also be well communicated. You want data to form a straight line from KPIs to influencing business decisions.