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Data from ad campaigns has, in some ways, never been so important.
Data has become the way marketers know whether the brand messaging is right, what drives customers to purchase and where they should advertise in the future.
Content marketing as a buzzword seems to have peaked. It's not that content is less popular, but rather that we all now know content is here to stay.
In a way, we've moved from 'doing content marketing' to 'marketing in a content-driven world'.
How do you drive more organic traffic by efficiently enhancing your content strategy using only free tools?
Here's a 2,500 word how-to guide.
You’d be forgiven for thinking the term ‘dark social’ refers to some kind of demonic get-together during which attendees feast on blood to please their overlords.
While potentially irksome to social media managers, dark social is somewhat less sinister than the above.
It simply refers to social sharing that can’t be accurately tracked, i.e. the stuff that isn’t picked up by web analytics platforms.
What is the deal with referral spam? Aside from it being mega annoying, pointless, and stupid?
If you use Google Analytics, you definitely know what I’m talking about. It’s those almost-real-but-actually-fake-spamming-links that show up on your analytics and screw up your KPIs.
Even the smallest of organisations are using web analytics to improve their business, and Google Analytics is one of the most popular tools available today.
Google Analytics might be free, but it's a robust tool that can meet the needs of many businesses large and small.
So where should beginners start? Here are seven tips.
One of the best ways to determine what will happen in the future is to look at the past.
In today’s big data-driven world, we have the ability to access and use information on how customers are interacting with our websites and social media networks.
But if we’re capturing this information without knowing how to use it, it’s of no use.
Google Analytics is a fantastic tool for measuring traffic and the behaviour of that traffic on your site.
You can then derive meaning out of your data, report back accurate ROI to your bosses and help you justify further improvements or strategies.
Best of all it’s completely free. However when you open up Google Analytics for the first time, it’s very easy to be intimidated by its vast array of menus, navigation, graphs, visualisations and language.
Confused by cross-channel analytics? Bewildered by big data? Stupefied by structured data?
Well I’m not surprised. Who wouldn’t be?
It’s a big world of complicated words, terms and phrases that can intimidate even the most digital savvy of webmasters wishing to dig deeper into the information their website has been quietly amassing over the last few years.
Help is at hand though, in the form of this very beginner's guide.
I have written it in the form of a glossary, as it seemed the clearest method of presentation. Not only is it alphabetical but it should also make logical sense if you read it in order.
This is for anyone whose had a rudimentary glance at Google Analytics, or spent a little time in the Site Stats of their WordPress site, or has a copy of our Measurement and Analytics Report but has yet to open it.
We call these people the intrigued but slightly baffled. Welcome, you’re in good company!
This post looks to help you resolve these issues to get more from your organic search data.
Benchmarking, for those that were in the know, was once a fantastic feature of Google Analytics.
Discontinued in 2011, and then followed by the removal of Adplanner the following year, meant it became a lot harder to contextualise the great work marketers were doing and get valuable market information.
Alternatives for benchmarking have always been available, based on toolbar tracking or proprietary stats vendors for example, but those that used Google Analytics benchmarking reports loved the feature for its simplicity, the fact that it was perceived to be well informed, and of course it was free.
Well, as announced on the Google Analytics blog today, this ever popular feature has been revived.
For those that opt in to anonymously share their data, version one of the new implementation is being rolled out to all Google Analytics Universal users, with promises of much more to come in the future.
Google released its first analytics app for iOS at the end of July, which follows on from the release of a new Android version in June.
As someone who has been pinching and zooming to view our site's stats on a mobile browser, the new mobile app is more than welcome.
So how well does it work? And how does it compare to the desktop features?