Which type of analytics are you performing when visualizing customer retention data based on various demographics?

When visualizing customer retention data based on various demographics, you are engaging in descriptive analytics. This form of analytics focuses on summarizing historical data to understand what has happened, often through visualizations, reports, and performance metrics. By analyzing customer retention rates and examining how they differ across demographics, you gain insights into trends and patterns that have occurred in the past.

Descriptive analytics helps businesses and analysts to create a baseline understanding, enabling them to identify significant factors that may influence customer behavior. This understanding can then be used for further analysis or to inform strategic decisions.

Other types of analytics, while valuable in their own rights, serve different purposes. Diagnostic analytics would focus on understanding why something happened, prescriptive analytics would suggest actions based on predictive insights, and predictive analytics aims to forecast future outcomes based on historical data. Therefore, the examination of historical retention data through demographic filters fits squarely into the realm of descriptive analytics.