DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Takhun | ko |
dc.contributor.author | Kim, Dongyeon | ko |
dc.contributor.author | Ahn, Yongkil | ko |
dc.date.accessioned | 2022-06-27T07:00:16Z | - |
dc.date.available | 2022-06-27T07:00:16Z | - |
dc.date.created | 2022-06-27 | - |
dc.date.created | 2022-06-27 | - |
dc.date.issued | 2022-09 | - |
dc.identifier.citation | EXPERT SYSTEMS WITH APPLICATIONS, v.202 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.uri | http://hdl.handle.net/10203/297083 | - |
dc.description.abstract | This study empirically validates the performance of stochastic customer base models in noncontract settings where the time at which a customer becomes dormant is not observable. We collaborate with a nationwide financial services company in Korea and analyze the complete transaction data of 373,031 retail customers from 2015 to 2018. We implement the following four buy-'til-you-die (BTYD) models: a) the original Pareto/NBD model, b) the Pareto/GGG model, c) the BG/CNBD-k model, and d) the MBG/CNBD-k model. The four BTYD models perform well in classifying active customers, with an area under the receiver operating characteristic curve of 0.82 ~ 0.86 for each of the one-month, two-month, ..., and twelve-month forecasting horizons. The results demonstrate that the BTYD framework can be used for customer base analysis as an instant heuristic approach that can complement existing customer relationship management tools. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Instant customer base analysis in the financial services sector | - |
dc.type | Article | - |
dc.identifier.wosid | 000806605800003 | - |
dc.identifier.scopusid | 2-s2.0-85129484036 | - |
dc.type.rims | ART | - |
dc.citation.volume | 202 | - |
dc.citation.publicationname | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.identifier.doi | 10.1016/j.eswa.2022.117326 | - |
dc.contributor.localauthor | Kim, Takhun | - |
dc.contributor.nonIdAuthor | Kim, Dongyeon | - |
dc.contributor.nonIdAuthor | Ahn, Yongkil | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Customer base analysis | - |
dc.subject.keywordAuthor | Probabilistic modeling | - |
dc.subject.keywordAuthor | BTYD | - |
dc.subject.keywordAuthor | Field study | - |
dc.subject.keywordPlus | CHURN PREDICTION | - |
dc.subject.keywordPlus | DYNAMIC-MODEL | - |
dc.subject.keywordPlus | MANAGEMENT | - |
dc.subject.keywordPlus | REGULARITY | - |
dc.subject.keywordPlus | INFERENCE | - |
dc.subject.keywordPlus | INDUSTRY | - |
dc.subject.keywordPlus | LONG | - |
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