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.
You can use Google Tag Manager to track button clicks into Google Analytics without needing to modify the code on your website. I’m going to walk you through tracking clicks on a button used in a form, but you can use the same technique for tracking buttons in your navigation, banners, content, and more.
If you are running Google Ads (previously AdWords) campaigns, then reporting on your campaigns in Google Analytics can provide valuable insights into people’s behavior after they’ve clicked your ads. The Google Ads reports allow you to evaluate the performance of your campaigns, ad groups, keywords and even get extra insights about your bid adjustments.
You can control the data included in your reports using filters. They’re useful because once you’ve created them they’ll continue to be applied, so unlike segments, you don’t need to add them each time you want to perform analysis in your reports. We’re going to look at 8 essential filters you should consider applying to your data in Google Analytics.
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.
Do you need to delete user data from Google Analytics? We’ve created a tool using Google Sheets and the Google Analytics User Deletion API that lets you quickly and easily delete data from Google Analytics.
When it comes to AdWords, Analytics, Tag Manager, and all of the amazing products Google develops there is one certainty – they’re not going to stay the same for long.
So how do we stay up-to-date? How do we keep on top of the most significant changes?
A question that often pops up when I’m training people is “What does it take to become qualified in Google Analytics?” It’s a great question, so let’s jump in!
I'm going to show you how easy it is to get more out of Google Analytics by taking advantage of automation. I’m going to cover a range of tips that you can use today to streamline a whole range of different tasks – from finding insights in your data, to creating reports, and getting data in (and out) of Google Analytics.
Here’s how you can use Google Analytics to understand people’s navigation paths, and answer questions like... Where do people go after viewing a blog post? How many people use my contact form after viewing a product page? What pages do people view if they convert? And is my website’s navigation correctly structured?