Intended audience: end-users data science developers
AO Easy Answers: 4.3
Overview
Identifies time-based trends or seasonal patterns that impact customer churn rates.
Purpose
Identify seasonal or periodic variations influencing customer retention or churn behaviors.
Business Example
Identifying peak churn months (e.g., post-holiday periods or off-peak travel seasons).
Scenario
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Analyzing churn patterns across calendar months.
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Identifying periods of heightened churn risk.
Results
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Calendar-based identification of churn risks.
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Opportunity for targeted seasonal retention initiatives.
Data Sample
Infographics Insight
Full Story Insight
End User Configuration - using Easy Answers solution
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