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.
When planning a conference behavioral strategy, here's what Judah Phillips suggests to optimize the experience. He calls it the "multivariate attendance strategies". Learn more about his 10 strategies to ensure you have a memorable and fun conference experience.
Stephane Hamel shares a framework he uses as part of the Online Analytics Maturity Model to evangelize the role and benefits of an Analytics Competency Center. Learn how to tame the three heads of Online Analytics.
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.
There has been a growing trend of releasing infographics. Some of them are fantastic pieces of design, illustrating complex relationships between data. Most of them are not. In this post, Kent Clark discusses how to create effective visualizations, and explore the difference between good and bad data presentation.
Web analytics has an identity crisis. Everyone recognizes that we no longer do (only) web analytics, we deal with many different data sources. From social to app, the website is not our only source of data. We work with digital data. Learn more about the differences of Web and Digital Analytics and an alternative way going forward.
As an analytics practitioner who does real analytics globally for a large Internet brand, I believe that definitions are important. The best, world-class companies create governance around data definitions and define other core business concepts. Learn more about what analytics is and is not.
It's said that common sense isn't common. I'd always scoffed at this sentiment until I started getting insights into the analytics of some pretty big companies. Not mom and pops or small businesses, but experienced consultants and big business. It seemed to me that even the experienced people tend to make some pretty common mistakes, all of them very easy to fix.
Over the years I have seen all kinds of definitions for web analytics. Some are over simplified, some are just plain wrong and biased toward agencies and vendors. Some blog posts claim to offer a definition while they simply rant about how hard web analytics is and what it should or should not be. What is a good definition?
Segmentation is one of the most important features of any web analytics package, and Google Analytics is no exception. If you're regularly looking at your overall site stats and user behaviour, then you're looking at all visitors bundled together. Do you think it's appropriate to be looking at visitors who are engaged and loving your site in the same set as visitors who bounce? Do you think you're learning anything from the average?
Some e-businesses are willing to accept the two to five percent conversion rates that have been standard for e-commerce for many years now. Not so for some of the more successful e-business professionals, who endeavor to recover lost orders and win back the loyalty of customers before they are lost forever.
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