Web analytics involves collecting, measuring, analyzing, and reporting website data to understand user behavior, optimize performance, and drive strategic decisions.
Customer analytics examines data from customer interactions to understand behavior, improve experiences, personalize marketing, boost retention, and drive business growth.
Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to forecast future outcomes, trends, risks, and opportunities accurately.
Audience analytics studies data about audiences to understand demographics, preferences, behaviors, and engagement, helping tailor content, marketing, and strategies effectively.
Marketing analytics measures, manages, and analyzes marketing performance data to optimize campaigns, understand customer behavior, and drive better business decisions.
Product analytics tracks and analyzes user interactions with a product to improve features, enhance user experience, drive engagement, and boost growth.
Performance analytics evaluates data on processes, employees, or systems to measure effectiveness, identify improvements, optimize operations, and achieve strategic business goals.
Manufacturing analytics uses data to optimize production, reduce downtime, improve quality, and drive efficiency across the manufacturing process.
Supply chain analytics leverages data to enhance visibility, forecast demand, optimize inventory, reduce costs, and improve overall supply chain performance.
