Our Customer Targeting model uses predictive analytics to identify customers at risk of churning, enabling proactive retention strategies and personalized engagement campaigns.
Using advanced machine learning algorithms, we analyze customer behavior patterns, engagement metrics, and historical data to predict which customers are likely to churn before they actually do.
This proactive approach results in a 30% reduction in customer churn and a 25% increase in customer retention rates.
We're able to identify changes in Customer Behavior and help your team keep them as customers longer.