: Utilizing tools like lab usability studies, surveys, and remote testing to answer "Why" visitors behave the way they do.
: Analyzing competitor data to understand market share and identify missed opportunities for inbound traffic. Rethink Web Analytics: Introducing Web Analytics 2.0 Web Analytics 2.0
The concept was first popularized in Kaushik's seminal 2009 book, Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity, which presents a strategy for creating actionable, data-driven decisions. Core Definition : Utilizing tools like lab usability studies, surveys,
Web Analytics 2.0 is defined as the analysis of both from your website and competitors to drive continual improvement of the online experience, ultimately translating into desired business outcomes. The Five Pillars of Web Analytics 2.0 Core Definition Web Analytics 2
: Moving beyond reporting to active optimization through A/B testing and multivariate testing (MVT) to "fail faster" and find winning strategies.