Data mining for customer service support
Information and Management
An efficient data mining approach for discovering interesting knowledge from customer transactions
Expert Systems with Applications: An International Journal
Flexible online association rule mining based on multidimensional pattern relations
Information Sciences: an International Journal
Confidentiality issues for medical data miners
Artificial Intelligence in Medicine
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In the recent years, customer relationship management (CRM) is an important issue for marketers. Most of marketing researchers intend to compute customer value and provide valuable activities when customers demand are occurring. Unfortunately, the linkage between customer value and campaign management is still missing. This research proposes lifetime value (LTV) model in analyzing customer lifetime value to construct new promotion plans. To conduct a case study, this investigation extracts more than ten thousand customer data from a Nissan dealer for finding the customer detecion. From evaluating the customer lifetime values, we found two interesting outcomes. The first one is that the activities of maintenance item is more valuable than those activies of car purchasing and car issurance. The second one is that a lot of new customers lost their loyalties on the second year. To slove the two problems, this research suggest the studied Nissan dealer should take two corresponding promotion stratetgies. First, the dealer should provides five-years assurance for new car purchasing customers to increase their loyalty. Secondly, they need to decrease the price of maintenance and speed up the process of maintenance to attract customers.