The article discusses how national broadcast providers in China use data from set-top boxes and financial records to predict customer churn. They found that customer viewing habits, spending amounts, and payment behaviors greatly impact churn rates. The intensity of customer viewing is influenced by their preferences. By using logistic regression, they created a model to predict churn. The study suggests different strategies to retain customers who are likely to leave. Overall, the research shows that understanding these factors can help cable networks develop effective marketing plans.