In this article written for Neil Patel, I examined the most prominent Google Analytics errors users encounter when employed on their website. This was an extensive piece taking several days to research and compile. It was first published on KISSmetrics website, then subsequently moved to Neil Patel's primary site.
Rolling out and implementing Google Analytics can be a tricky extensive process for most businesses, and you'll often specialist help to get things running correctly. However, even with the most skilled of talent, errors can occur in the data that can throw out results, often unknown to the analytics team.
Customizing the Google Analytics code is a team effort and will require constant measurement and evaluation to get things humming. During the refinement process, you are likely to find some of these errors occurring. Here’s 29 of the most common errors, likely causes and ways you can correct them. I’m assuming you are using Universal Analytics analytics.js: