The cohort analysis visualization helps in identifying churn patterns by quantifying the percentage of customer retention by total customers. Each row in the table represents a different cohort and the month they joined. This data helps you visualize a trend to discover where churn becomes a pattern over time. For instance, it might show that customers are mostly satisfied in the first three months, but then drop off after the first quarter. This will help you analyze what is missing to improve retention based on churn patterns.
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