In terms of cost, retaining customers is more important than acquiring new customers. AI can predict which customers are most likely to churn by analyzing customer attributes, behavior, and external factors. Establish and implement customer churn prevention strategies to optimize corporate profits through customer retention.
By predicting customer churn, insurance companies can increase customer satisfaction as well as increase customer lifetime value.
Data | Data type | Content | Use mode |
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Input data | CSV | Customer data(gender, age, subscription period, medical history, number of insurance subscriptions, etc.) | API |
Output data | CSV | Prediction of customer churn | API |
Payment |
Subscription method |
Attached file upon application |
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charge | Online |
Customer data required for model creation |
Application procedure |
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