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.
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.
In this post, Kristoffer Olofsson walks us through how the BigQuery Export feature for Google Analytics Premium is put together, what it looks like, and some important things to be aware of when considering BigQuery Export as part of your Analytics solution.
In this article I provide a quick step-by-step guide to use Fusion Tables to visualize Google Analytics data: how to bring the data, prepare it and visualize it using great charts.
The coming year will likely bring even more data-driven initiatives and action to your organization. Get prepared for another tsunami of data with these top terms for 2014.
As a person who works with brands trying to accurately value and measure the impact of social communication on a brand, the biggest question about Super Bowl ads surrounds the ROI of the many advertising campaigns that we see.
The knowledge you stand to gain by implementing In-App Analytics in your app can help answer the eternal question: Why? It can also help smooth friction points in the user experience and help your app optimization efforts. In this article you will learn a few of the ways that a visual analytics tools can get you the information you need to smooth and optimize friction points in the user experience of your app.
As a Web Analytics agency, at this time of the year we plan for the next 12 months. From budgets, to recruitment and sales pipelines. In such a young and fast-paced industry a big part of answering these questions is to understand how the market might evolve in the next 12 months; what sort of services our clients will require and how we need to adapt to offer these. Below I am sharing my thoughts on which direction things will take in 2014 from a Web Analytics and Google Analytics (GA) perspective.