The idea of advertising interacting with its consumers is not new. But where does online advertising sit in this context? How does it add to the online community? Advertising sets the stage to take control and incentivize what experiences take place, analytics allows us to measure them. If we play it right and measure the right information, it grants us the ability to take action, and enables a better experience.
Jose Uzcategui -
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.
Stephane Hamel -
Who are your landing page visitors, and what do you know about them? The answer to this question is the foundation for a successful landing page strategy. It will help you answer all of the questions about what should or shouldn't be on your page.
Anna Talerico -
Since mobile devices lead to new behaviors—like rotating screens, swiping and varying "folds,' it's critical for retailers to know what consumers are experiencing. The ability to quickly identify and remedy customer frustrations means not only fewer #fails on Twitter, but also greater gains from their mobile channels as well as their business as a whole.
Geoff Galat -
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.
Justin Cutroni -
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.
Judah Phillips -
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.
Kent Clark -
 chart-graph-types-infographic

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.

Daniel Waisberg -
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?
Stephane Hamel -
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?
Alistair Dent -