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Having confidence in your Google Analytics data is critical. Before you make a business decision based on what you’ve found in your reports, it’s important to take the time to check that you have a complete set of data and that your data is as accurate as possible.
That’s where using my Google Analytics checklist can help keep your data accurate and actionable. In my checklist you will find a range of things to check inside your Google Analytics account (or accounts). We’re going to break down each stage, from planning, right through to analysis.
Using Google Tag Manager makes it easy to add tags to your website and even send custom data to Google Analytics (or any other platform), but it can quickly become daunting, especially when you’re trying to get up-and-running quickly. That’s why I’ve created this glossary. I’m going to help you understand the most important terminology you’ll find inside Google Tag Manager. Think of this as your Google Tag Manager dictionary.
Understand the most important Google Analytics terminology. Think of this as your Google Analytics dictionary, your quick-reference guide to using your reports, say hello to the Google Analytics Glossary.
Have you ever wondered what the required step option means when you are setting up a goal in Google Analytics? Personally, I think it is one of the most confusing configuration options available inside Google Analytics, so I’m going to try and keep things clear and simple. Here goes!
Understanding how well your website is meeting its objectives is critical, and goals inside Google Analytics allow you to understand if people are converting on your website. In most cases you should be able to get up and running quickly.
Bounce rate is a unique metric within Google Analytics. It appears within many of the Google Analytics reports and can helpful when looking at the performance of your content or landing pages. However, as is often the case in any analysis, the secret to understanding the bounce rate metric is context.
Having confidence in your Google Analytics data is critical. Before you make a business decision based on what you’ve found in your reports, it’s important to take the time to check that you have a complete set of data and that your data is as accurate as possible.
That’s where using my Google Analytics checklist can help keep your data accurate and actionable. In my checklist you will find a range of things to check inside your Google Analytics account (or accounts). We’re going to break down each stage, from planning, right through to analysis.
Using Google Tag Manager makes it easy to add tags to your website and even send custom data to Google Analytics (or any other platform), but it can quickly become daunting, especially when you’re trying to get up-and-running quickly. That’s why I’ve created this glossary. I’m going to help you understand the most important terminology you’ll find inside Google Tag Manager. Think of this as your Google Tag Manager dictionary.
Understand the most important Google Analytics terminology. Think of this as your Google Analytics dictionary, your quick-reference guide to using your reports, say hello to the Google Analytics Glossary.
In this tutorial you’ll learn how to configure destination (or page-based) goals in Google Analytics. We’ll also discuss the importance of goals, the different types of goals you can configure inside Google Analytics, and more.
Have you ever wondered what the required step option means when you are setting up a goal in Google Analytics? Personally, I think it is one of the most confusing configuration options available inside Google Analytics, so I’m going to try and keep things clear and simple. Here goes!
Enabling Google Signals gives you access to special cross-device reports in Google Analytics. The reports let you understand the different devices people use before converting on your website.
Being present on social media is pretty much mandatory for anybody wanting to make meaningful connections with their audience. It's a way to provide support, share stories and reach new customers, but how well is it really performing for you? What's working? And what's not working?
Have you ever noticed that the number of conversions reported in Google Analytics doesn’t match up? In most cases these differences can be explained by attribution. In this post we’ll explore different scenarios to understand what we might see (and not see) in our reports.
