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, 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.
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.
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.
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.