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 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 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.
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.
In order to measure the performance of your blog, you will need to rely on data that will give you in-depth insights regarding the blog value. In this post I provide a (non-comprehensive) list of features, reports and user segments that should be used for such an endeavour.
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...