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What does cohort analysis help users to examine?

User patterns based on session lengths

Trends among a select group with shared traits

Cohort analysis is a powerful tool that enables users to examine trends among a specific group of individuals who share common characteristics or experiences over a defined period. This method is particularly useful in identifying behavioral patterns and performance metrics that can greatly inform business strategies.

By focusing on groups that share traits—such as users who signed up during a particular month, who used a particular feature, or who come from a specific source—analysts can gain insights into how these users behave compared to other groups. This understanding can lead to tailored marketing efforts, product enhancements, and improved user engagement, as businesses can see the long-term value of attracting and retaining certain cohorts.

Other options, while relevant to data analysis in general, do not specifically reflect the core purpose of cohort analysis. User patterns based on session lengths typically involve different forms of behavior analysis, traffic sources directly connected to conversions focus on multi-channel performance, and overall website performance metrics encompass broader measures that are not specifically tied to user cohorts.

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The relationship between traffic sources and conversions

Overall website performance metrics

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