Data analytics can provide insights into customer behavior, preferences, and pain points. Leaders can use this data to refine their retention strategies. For example, identifying trends in customer churn can help in developing targeted interventions. Moreover, predictive analytics can forecast which customers are at risk of leaving, allowing for proactive measures to retain them.