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Cohorts
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Cohort Analysis in Mapp Intelligence is a valuable method for evaluating user behavior and performance over time. By grouping users based on when they first engaged with your platform, you can gain insights into the long-term impact of your marketing strategies and user engagement efforts.
Cohort analysis helps answer critical questions, such as:
How effective are your campaigns at driving sustained engagement?
How frequently do new users return after their initial visit?
How does user behavior change based on the timing of their first interaction?
This analysis is structured around two main dimensions:
Date of First Visit: Track user behavior based on when they first engaged with your platform, enabling you to assess key metrics like loyalty, revenue, and retention by specific time periods.
Time Since First Visit: Understand user engagement over the time elapsed since their initial visit, allowing you to analyze how behavior evolves across weeks or months.
These insights are further enhanced through specific use cases, such as tracking return patterns, assessing campaign effectiveness, and identifying how engagement varies across channels. By leveraging these analyses, you can refine your strategies to boost retention, optimize marketing efforts, and drive long-term value.
Explore the subpages for detailed examples and strategies on making the most of cohort analysis in Mapp Intelligence.