Web analytics is a digital data analysis technique used to understand, measure, and optimize web usage. It involves collecting, processing, and interpreting web data to understand user behavior and improve the effectiveness of a website[2] or marketing campaign. The process includes gathering raw data, transforming it into useful metrics, developing key performance indicators (KPIs), defining online strategies, and conducting tests for optimization. There are different categories of web analytics, including off-site and on-site analytics, server log file analysis, and page tagging. Various tools and standards are used in web analytics, including InterActive Bureau (IAB), Joint Industry Committee for Web Standards (JICWEBS), and Digital Analytics Association (DAA). Web analytics data sources range from direct HTTP request data to external data. Techniques such as A/B testing, funnel analysis, and heatmaps are applied in various sectors like e-commerce, content publishing, marketing, and more to enhance user experience[1] and inform data-driven decisions.
Web analytics is the measurement, collection, analysis, and reporting of web data To understand and optimize web usage. Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It can be used to estimate how traffic to a website changes after launching a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views, or create user behavior profiles. It helps gauge traffic and popularity trends, which is useful for market research.