What type of analysis tracks performance of different user groups over time?

Cohort analysis is a powerful method for tracking the performance of different user groups over time. This technique involves segmenting users into distinct cohorts based on shared characteristics or experiences, such as the month they signed up for a service or the specific product they purchased. By analyzing these groups over time, you can gain insights into user behavior, retention rates, and the overall success of marketing strategies or product features.

The strength of cohort analysis lies in its ability to reveal patterns or trends that may not be visible in aggregate data. For instance, you might find that users who joined your service during a promotional period exhibit different long-term engagement levels compared to those who signed up at a different time. This can inform decision-making and help tailor future marketing efforts or product development.

Other analysis types may focus on subsets of data, patterns over time without specific user grouping, or general behavioral metrics, but cohort analysis specifically addresses how distinct groups of users behave across various time frames, providing a clearer picture of user engagement and product impact.