The document discusses customer churn during the holiday season, emphasizing its definition, causes, and strategies for prevention. It identifies key reasons for churn, such as poor customer service and lack of perceived value, while offering actionable insights like improving communication quality and cultivating brand loyalty. Additionally, it outlines methods for predicting churn using data science and suggests win-back campaigns to re-engage lapsed customers.