Customer churn prediction is crucial for businesses, especially in retail banking. By analyzing customer data, researchers used logistic regression to predict which customers might leave for a competitor. The study found that traditional statistical methods can successfully identify potential churners, helping companies retain valuable customers and improve customer relationship management.