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Web analytics

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Web Analytics Process and Technologies
– Basic steps of the web analytics process
– Collection of data
– Processing of data into metrics
– Developing KPI
– Formulating online strategy
– Experiments and testing
– Off-site web analytics
– On-site web analytics
Google Analytics and Adobe Analytics
– Server log file analysis
– Page tagging

On-site Web Analytics Metrics
– Bounce rate
– Click path
– Hit
– Page view
– Visitor/unique visitor

Web Analytics Metrics
– Visit/session
– Conversion rate
– Average session duration
– Exit rate
– Funnel analysis

Importance of Web Analytics
– Data-driven decision making
– Website optimization
– ROI measurement
– User experience enhancement
– Competitive advantage

Page Tagging and Logfile Analysis
– Page tagging
– Logfile analysis
– Advantages of logfile analysis
– Advantages of page tagging
– Economic factors
– Hybrid methods

Note: Some points from the original content have been excluded as they were not specific or comprehensive enough to form a separate group.

Web analytics (Wikipedia)

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.

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