Data-Driven Insights for Reducing Churn: Crew’s Cup

Spring 2025

For the Crew’s Cup case, my goal was to identify the drivers of customer churn and propose strategies to strengthen retention. I conducted Exploratory Factor Analysis (EFA) to validate five key commitment dimensions, applied K-means clustering to uncover three distinct customer segments, and used Regression Modeling to determine the factors most strongly correlated with loyalty intent. These methods provided actionable insights that guided tailored recommendations to reduce churn and enhance customer engagement.

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