Leveraging PEGA AI to improve Brand Loyalty& Reduce Customer Churn
Abstract
Customer churn is a critical challenge for many industries, especially those with subscription-based models. An effective awards and incentive program can significantly enhance customer retention by fostering loyalty and engagement. This research paper explores the implementation of PEGA AI in awards and incentive programs and its potential to reduce customer churn. By leveraging advanced analytics, machine learning, and real-time data processing, PEGA AI offers a robust solution for understanding customer behavior, personalizing incentives, and predicting churn risk, ultimately leading to improved customer retention and satisfaction.
Keywords
PEGA AI, Predictive Analytics, Adaptive Analytics, Brand Loyalty, Customer Retention, Customer churn, Machine Learning