The articles below focus on Web Analytics & Optimization, the art and science of improving websites based on the analysis of visitors' behavior. They focus on analyzing and optimizing marketing efforts, turning new visitors into customers and returning customers into loyal friends. Learn a broad range of techniques (such as social media, segmentation and other website optimization) in order to increase revenue.
Following a recent post at Online Behavior on Visualizing Google Analytics Data With R I thought I would share my own Shiny application (a free package available for R) for visualising visits, bounce rate etc. from websites.
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.
In this article Scott Shannon looks at the new demographic and psychographic segments in Google Analytics, and we learn how we can use this information to help inform our marketing and advertising initiatives. Using user segments in conjunction with audience/customer demographics opens up a whole new realm for web analysts and marketers.
This article is a step-by-step guide on how to visualze Google Analytics data using the R programming language, a powerful statistical language. It provides both the the code necessary to do so and the explanations on how to make it work.
This tutorial is a step-by-step guide on how to integrate Fusion Tables and Google Analytics. I present an App Script that gets data using the Google Analytics API and populate it into Fusion Tables.
This article tells the story of a Digital Analyst on her path from working to a vendor to becoming tool agnostic. In the end she discovers a way to be loyal to the analytics industry and dedicated to recommending the right solution for her clients' needs.