Identifying Innovators for the Cross-Selling of New Products
Management Science
A modified Pareto/NBD approach for predicting customer lifetime value
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Handling class imbalance in customer churn prediction
Expert Systems with Applications: An International Journal
Customer Lifetime Value Measurement
Management Science
Expert Systems with Applications: An International Journal
Customer churn prediction by hybrid neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Selecting prospects for cross-selling financial products using multivariate credibility
Expert Systems with Applications: An International Journal
Optimal customer selection for cross-selling of financial services products
Expert Systems with Applications: An International Journal
A causal inference approach to measure price elasticity in Automobile Insurance
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Insurance customers usually hold more than one contract with the same insurer. A generalization of classical survival analysis methods is used to examine the risk of losing a customer once an initial insurance policy cancellation has occurred. This method does not assume that the model parameters are fixed over time, but rather that the parameters may fluctuate. Our results suggest that the kind of contracts held by customers and the concurrence of an external competitor strongly influence customer loyalty right after that cancellation, but those factors become much less significant some months later. Our study shows how predictions of the probability of losing a customer can be readjusted and improves the way companies manage business risk.