The framework replaces traditional, limited metrics with a multifaceted approach known as the "Five Pillars":
: 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 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
: Measuring the diverse goals of a website, such as lead generation, e-commerce sales, or brand engagement, to understand the economic value created.
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
: Traditional quantitative metrics (visits, page views, bounce rates) that answer "What happened?".
Analytics 2.0 | Web
The framework replaces traditional, limited metrics with a multifaceted approach known as the "Five Pillars":
: 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 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
: Measuring the diverse goals of a website, such as lead generation, e-commerce sales, or brand engagement, to understand the economic value created.
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
: Traditional quantitative metrics (visits, page views, bounce rates) that answer "What happened?".
