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.
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.
The words “custom made” have become almost synonymous with quality. In a world where everything from email communication to browser preferences are personalized, we have almost come to expect to have our individual needs and preferences met everywhere we go. Google gets that. Google knows that it’s not enough to get personalized search results on the front end, you need more control and more customization of your data, too.
The Google Analytics interface offers a wealth of information through its built-in reports, especially once you know the top analytics reports
to watch. But there are many times you want to see data you just can’t view in these standard reports.
No worries, Google has you covered.
Thankfully, customizing Google Analytics can allow you to track results on a level beyond what you get in the default reports. You can use features like Segments and Custom Reports to get more information, as well as using some backend features that you may not be aware of. In this post, we’ll show you a few tips to better track data that is specific to your business metrics in order to get more granular with your analysis.
Everyone from marketing professionals to public speakers will tell you to “know your audience.” But that means a little something different to everyone. When it comes to putting that knowledge to work, there’s a lot more to understand than just who sees your ads.
While demographics should help define whom you target with online advertising, you should also use the data that’s available about your website visitors. If a site has a Google Analytics account, you can learn a ton of information about visitors and apply it to ad targeting.
Google Analytics tracks user demographics based on information stored in third-party cookies and mobile advertising IDs
which is compiled using behavior hints from web browsing activity. Be aware that this data is not 100% perfect but reflects the best work of Google’s algorithms to gauge user ages, genders, and interests. The key to targeting is realizing that even if these categories aren’t perfect, the users who show up in a particular “bucket” when visiting your site are the people interested in your brand.
The age subsets and interest categories you see in Google Analytics correlate to targeting options available within Google AdWords. You can choose from these categories when setting up display ad campaigns in order to serve ads to the most relevant people.
First, let’s review how to look at demographic information in Google Analytics and then move on to applying what we learn in AdWords bidding.
It is one thing to set a goal for yourself, to plot a course for how you will achieve it, and then to relish in your success when you inevitably do. Working this way gives you a plan for the future to help accomplish your goals time and time again. You know not only that the goal was hit, but the path that was used to get there.
Unfortunately, this isn’t always the case. Sometimes, you may stumble upon a goal without a clear understanding of how you achieved it. When this happens, trying to replicate the process can require, well, the same blind luck that helped you reach it in the first place. That’s not exactly the formula for a high-converting website.
As marketers, we want to hone in not only on what happened, but how it happened.
Any digital marketing professional worth his or her salt will tell you that step one of customizing your website analytics is setting up goal tracking. While total conversions and conversion rate are both important metrics to review, they won’t tell the full story on their own. Sure, a visitor may have reached your Contact page, but did they do so via the homepage, a product page or an About page? Which page does the best job leading someone to reach out for services? What path is more successful? With just a single number you can’t know for sure.
So where do we get a closer look at the user journey that ultimately created a lead or a sale for you?
Enter, the Reverse Goal Path.
The Reverse Goal Path report allows you to see the steps that led a person to the point of conversion. This article provides an overview to help you understand the Reverse Goal Path, along with tips to help you get the most out of the data through customization.