MACHINE LEARNING MODEL FOR PREDICTING CUSTOMER CHURN IN SUBSCRIPTION BASED BUSINESS
Keywords:
Machine Learning, Subscription, Customer Data, Demographics, Proactive MeasuresAbstract
Machine Learning Model for Predicting Customer Churn in Subscription-Based Businesses, the main goal of which is to predict which of your customers are likely to get churned from subscription services. As the number of subscription-based companies has grown in the last few years, so too have efforts to accurately predict and stop customer churn both because these methods mean sustaining a health rate and pipeline growth and using sophisticated algorithms to scan big customer databases for patterns of behaviors that precede stopping using the service from previous customers. It includes shopping behavior, payment history, and customer demographics. By training on new data, the model can make predictions to pinpoint which customers are likely churners, allowing businesses to intercept and retain those that have made a decision. These involve specific marketing actions as well as renewed retention offers. Companies can use The Machine Learning Model for Predicting Customer Churn in Subscription-Based Businesses to slash customer churn rates, boost overall loyalty, and earn more profits. This is an indispensable service for every subscription-driven business that wants to improve customer retention and stay ahead of the competition.
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Copyright (c) 2024 Anusha Musunuri (Author)
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