Web analytics involves the collection, measurement, and analysis of data related to website traffic and user interactions. It is important to track metrics such as page views, bounce rates, conversion rates, and user demographics, so companies can gain insights into website performance, user behavior, and marketing effectiveness.
Data analytics involves the process of examining, cleaning, transforming, and modeling data to uncover patterns, trends, and insights. It includes techniques such as statistical analysis, machine learning, and data visualization to extract useful insights that inform business decisions and strategies.
Conversion Rate Optimization (CRO)
Conversion rate optimization focuses on improving the azerbaijan mobile database percentage of website visitors who complete desired actions, such as making a purchase or filling out a form. Through data-driven analysis, testing, and optimization strategies, companies can improve user experience, increase engagement, and maximize conversions.
A/B Testing and Experimentation
A/B testing is a method of comparing two or more versions of a web page, email, or marketing campaign to determine which performs better across key metrics. By randomly assigning users to different variations and measuring their responses, companies can identify the most effective strategies and optimize performance.
Customer analysis.
Data analysis and insights
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