Orange Belgium Churn Uplift Anonymized Data

This dataset, titled churn_uplift_anonymized.csv, provides a structured collection of anonymized customer records designed for the analysis of churn prediction and uplift modeling. It encompasses a range of behavioral, demographic, and service-usage attributes that are critical for identifying patterns of customer attrition and evaluating the effectiveness of retention interventions. By focusing on individual customer interactions and status, the dataset enables researchers to apply advanced machine learning techniques to quantify the impact of specific marketing or service-based incentives on customer loyalty. This resource is highly suitable for studies in business analytics, customer relationship management (CRM), and predictive modeling, offering a robust foundation for developing data-driven strategies to improve customer retention and optimize engagement campaigns.