The articles below focus on Targeting, Testing, Usability and Analytics. They present strategies and techniques that will help website managers and marketing analysts to measure marketing efforts and optimize websites using a data-driven method.
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.
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.
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.
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.
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.
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