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.
This article goes through the process of Data Landscaping, which will provide you with a map and a set of prioritised actions that move you towards a more effective way of accessing and understanding your data.
Learn how to use Google Analytics to understand how customers move through your website, where they fall off before making a purchase, how they're interacting across devices and more!
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...
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 is a summary of an interview with Google Analytics Integrations author, Daniel Waisberg, during the annual Google Analytics Summit in San Francisco.
This article discusses an idea for more effectively defining and measuring visitor engagement with text-based content like blogs, articles, or essays, on a website whose central value proposition is based on that content.
Sometimes we jump at conclusions while analyzing data and assume that we are creating better user experiences on our online properties by simply "reducing pain" instead of "increasing happiness". Learn more about why taking the opposite direction might be a great approach too.
Table filters are a very powerful feature in Google Analytics. They allow you to perform deep analysis from within the interface. In this article you will learn best practices when it comes to table filters and a few related topics.
Data quality is an issue that affects all companies, independently of their savviness, size or industry. In this post Daniel Waisberg discusses how to navigate the Google Analytics Diagnostics feature, an actionable and timely source of data quality insights.