Online Insurance Consumer Lifetime Value Evaluation: A Mathematics and Data Mining Approach

This paper focus on data mining application in customer value analysis, business potential and service improve direction. First a formula for online insurance customer lifetime value is derived. Some parameters and function for the formula are given out by data mining. Finally the business revenue p...

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Bibliographic Details
Published in2009 WRI World Congress on Software Engineering Vol. 1; pp. 401 - 407
Main Authors Yuanya Li, Cook, G., Wrefor, O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Business
Companies
customer lifetime evaluation
Data mining
decision tree
Insurance
Laboratories
Mathematics
online insurance
Rivers
Sediments
Sensitivity analysis
Software engineering
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Summary:This paper focus on data mining application in customer value analysis, business potential and service improve direction. First a formula for online insurance customer lifetime value is derived. Some parameters and function for the formula are given out by data mining. Finally the business revenue potential is predicted for recent ten years and comparison is taken out. A sensitivity analysis shows the business revenue increasing direction. The real business revenue data match the prediction data well.
ISBN:0769535704
9780769535708
DOI:10.1109/WCSE.2009.383