Using Intelligent Profiling to Generate Smart Lists: An Empirical Test
dc.contributor.author | Kridel, Don | |
dc.contributor.author | Dolk, Dan | |
dc.date.accessioned | 2019-04-23T19:01:56Z | |
dc.date.available | 2019-04-23T19:01:56Z | |
dc.date.issued | 2004 | |
dc.identifier.uri | https://hdl.handle.net/10945/62019 | |
dc.description | Presented at Western Decision Sciences Institute (WDSI 2004) conference | en_US |
dc.description.abstract | Kridel and Dolk [1] describe a web-based service that uses advanced data mining and dynamic model building techniques to conduct intelligent profiling. This smart list approach is designed to assist small- to-medium businesses (SMBs) in leveraging their analytical marketing capabilities. We begin validation of this approach by comparing the performance of the smart list for one target company versus the service provided by one of the industry leaders in customer list generation. Initial results indicate that the smart list approach outperforms the traditional approach by a substantial margin for both response rate and ROI. | en_US |
dc.format.extent | 4 p. | |
dc.publisher | WDSI | en_US |
dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | en_US |
dc.title | Using Intelligent Profiling to Generate Smart Lists: An Empirical Test | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.corporate | Naval Postgraduate School (U.S.) | en_US |
dc.contributor.department | Information Sciences (IS) |