You’ve launched a website, but now you need to know how people are using it. You need to answer important questions like, how many people are visiting the site each day? What topics are they looking for once they arrive? How are they getting there and how much time are they spending? Google Analytics can answer all of these questions and many more with the installation of a simple code.
Google Analytics is a seemingly endless source of data and insight. But you can’t get the benefits until you have it set up properly, and if you’re new to digital marketing that first step can seem daunting.
So we’re here to demystify the process for beginners.
In this article, we’ll walk through creating a Google Analytics account, adding the code to your site, testing the installation, sharing access with appropriate stakeholders and setting up goal tracking.
Do you ever find yourself confused by some of the default names for metrics and dimensions in Google Analytics?
Do you ever wish you could take a closer look at the specifics of how users behave on your site based on how they got there?
No worries, you’re in good company on both counts.
Google Analytics contains an array of hidden secrets that allow you to slice and dice data in unique ways to meet your needs. In this article, we’ll touch on the names of metrics and dimensions and show you a method to customize channels in a way that is tailored to different types of traffic and marketing efforts.
Before diving in further, let’s start by defining some key Google Analytics terms.
Source indicates the origin of a visit, such as a domain (newyorker.com) or search engine (Google).
Medium indicates the broad type of traffic, such as organic (from non-paid search), cpc (from paid search), or email.
Channel indicates the higher level category of traffic defined by the combination of source and medium.
In this article, we’ll delve further into customizing channel groupings to more accurately evaluate your data.
You know that accurate tracking is key to proving your worth as a digital marketing professional. You’ve set up Google Analytics to track visitors from their first point of contact with the site to the time they leave. Yet when was the last time you double-checked your analytics configuration to ensure you were actually looking at the most accurate data possible?
While Google Analytics presents itself as a relatively “plug and play” interface, errors can make their way into tracking if you’re not paying careful attention. You may miss data for select pages on your site, or spam referrals may creep in.
In addition, you may not be using Google Analytics to its fullest potential. For instance, can you properly segment traffic from ad platforms? Are you able to determine what pages drive the most leads? You should make sure that you’re fully taking advantage of custom features in order to maximize the proof you have for your work.
In this article, we’ll walk through a checklist of key areas in Google Analytics, ensuring that you are both looking at accurate data and using the platform to track every action relevant to a website’s success. Start by making sure you’re tracking the people who land on your site in the first place.
You know you could be getting more insight from Google Analytics, but adding code to your website to track conversions and other statistics seems like a daunting task. Thanks to Google Tag Manager, it doesn’t have to be! Google Tag Manager exists to make analytics implementation easier, allowing you to add or update your website tags without having to involve your very-busy IT or development department. An easy process means a greater ability to track new campaigns and to collect the data you need.
This post introduces Google Tag Manager and explains how it can be used to ease the burden of managing tracking code, and to get more insight from Google Analytics.
Google Analytics is filled with meaningful ways to look at data. Sure, it can be a little complex at first, but the more time you spend there the more you’ll come to appreciate all the little things you can analyze and evaluate. The dashboards and interface are pretty user friendly too. What more could we ask?
Not to be greedy but how about getting that data out of the platform to tinker with it even more?
Let’s be honest. Sometimes, reviewing data in the online Google Analytics interface isn’t enough. You want to look at data in Excel, sort through fields, compare it and delete data that’s not relevant. Thankfully, Google Analytics thought of that, too. The exports function offers a way to download data for deeper analysis.
In this article, we’ll touch on how to export data, as well as some tips on using and customizing it for better reporting.