Marketing Measurement is fundamental to any company operating on the internet. Having an accurate and comprehensive Web Analytics tool helps the marketer to understand important insights such as campaign success, customer value and profitability per market segment.
In this post I share the Top 10 Google Analytics tips drawn from my weekly tips column on the official Google Analytics Google+ page. I try the best I can to keep them very actionable, i.e. something that you can do right after reading the tip. Check it out...
If like many companies, you report value as page view volume, visit volume, social likes or tweets, then your boss is most likely to say: "so what?" (and if she or he doesn't, s/he should.) If you are lucky, s/he will grudgingly renew your budget for another season on the simple idea that digital marketing is not going away any time soon. But there is so much more you could be doing with essentially the same data!
This guide will walk you through the newest Google tool: the Google Tag Manager. This tool conveniently helps marketers manage tags on their sites; this will reduce errors when it comes to tag implementation, make it much faster to implement tags, and free webmasters to work on other important tasks.
This infographic provides a quick list of the types of charts that are available for analysts/marketers out there. I do not intend to provide a comprehensive list, neither an accurate explanation of each (you will note!). But I do provide a 'tell me which graphs you use and I will tell you who you are' cheat sheet where I describe some of the personality types of people using different charts.
In this post, Kristoffer Olofsson covers some of the benefits of using Custom Definitions in Universal Analytics, as well as have a look at how they are leveraged in practice by startup 'The Beta Family', a crowdsourcing platform for beta testing apps.
This article shows how to easily rewrite multiple URLs in Google Analytics with the help of Google Tag Manager (GTM). This solution is life changing for websites that do not have friendly URLs, which makes analyzing customer behavior on websites very cumbersome.
Are you struggling with Google Analytics segments every now and then? Would you like to learn how to use/build them instead of just being overwhelmed with a "best segments" posts? If your answer to these questions is yes, I recommend you read this article very carefully!
We've all been there. Everything on surface looks like it's running smoothly. Data is coming in. The 30,000-foot view of your account looks like business as usual. You start upping your analytics game. Maybe you took some training and you're getting your hands dirty asking the tough questions of your data. But how do you know if you can trust your data in the first place?
If you have a website that is contributing to your business either directly or indirectly, you will probably want to track at least one of these events. Doing so will enable you to make smarter marketing decisions and make a start on a conversion rate optimisation strategy.
In this post you will learn everything you need to know about Google Analytics Cost Data Upload, a feature that allows you to import the extra pieces of data belonging to your non-AdWords paid campaigns into Google Analytics.