Identifying at-risk customers is essential for proactive retention efforts. Businesses can use a combination of data analytics and predictive modeling to identify patterns that indicate a customer may be about to churn. Key indicators might include a decrease in purchase frequency, lower engagement with the brand, or negative feedback. By identifying these signs early, businesses can take targeted actions to re-engage and retain these customers.