Google Analytics Category

Using Custom Channel Groupings in Google Analytics

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.

For more details on how Google Analytics categorizes traffic into channels, see our previous post about Understanding Google Analytics Channels.
In this article, we’ll delve further into customizing channel groupings to more accurately evaluate your data.

 

Google Analytics Custom Channel Grouping

 

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A Google Analytics Checklist for Healthy 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.

 

Healthy Google Analytics Data

 

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Implementing Analytics with Google Tag Manager

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.

Implementing Google Analytics with Google Tag Manager

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Google Analytics Exports: Options & Strategies

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.

 

Google Analytics Google Sheets Add-On

 

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Who Should Have Google Analytics Training?

Sometimes, we still think of analytics as the geeky data for the analyst nerds. They love their numbers and their spreadsheets. The stuff that isn’t for clever writers, creative artists, genius developers, charismatic sales people, masterful account managers or fearless leaders.
Maybe. Maybe once upon a time that was true. But not anymore. Everyone, at every level, can benefit in some way from knowing how to log into Google Analytics and look at a report or two.
Employees throughout a digital marketing agency should have some degree of training in Google Analytics. While it’s tempting to assume that only staff directly managing projects like reporting or managing AdWords campaigns need this knowledge, relying on those front line analysts to “deliver the message” can sometimes work the same way as a game of telephone.
Google Analytics expertise is invaluable for people across the company. In this article, we’ll talk about how analytics knowledge ties into the daily routines of individuals in positions outside of the obvious SEO, PPC, and Analytics staff, with examples of how the data can be used for each.

 

Google Analytics Content Groups

 

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