联盟忠诚计划演进对会员购买与赎回的影响

Wayne J. Taylor, Xiaojing Dong
{"title":"联盟忠诚计划演进对会员购买与赎回的影响","authors":"Wayne J. Taylor, Xiaojing Dong","doi":"10.2139/ssrn.3505587","DOIUrl":null,"url":null,"abstract":"This paper uses a new dataset from a major European credit card issuer to fill an important gap in the study of coalition loyalty program effectiveness by analyzing how complex spatial relationships influence card spend and redemption activity. A coalition program offers incentives to customers at multiple businesses; the primary challenge facing coalition managers is determining the value of each store in the network. We use detailed, individual-level transaction data to analyze how the spatial evolution of a coalition loyalty program network influences card usage and redemption activity. By augmenting traditional spatial models with advances in machine learning methods we are able to properly account for the influence of complex spatial interactions and provide actionable analyses to managers. Our results suggest that if the coalition reduces the size of their network to only include key branch locations estimated credit card revenue increases substantially.","PeriodicalId":321987,"journal":{"name":"ERN: Pricing (Topic)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Coalition Loyalty Program Evolution on Member Purchases and Redemptions\",\"authors\":\"Wayne J. Taylor, Xiaojing Dong\",\"doi\":\"10.2139/ssrn.3505587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses a new dataset from a major European credit card issuer to fill an important gap in the study of coalition loyalty program effectiveness by analyzing how complex spatial relationships influence card spend and redemption activity. A coalition program offers incentives to customers at multiple businesses; the primary challenge facing coalition managers is determining the value of each store in the network. We use detailed, individual-level transaction data to analyze how the spatial evolution of a coalition loyalty program network influences card usage and redemption activity. By augmenting traditional spatial models with advances in machine learning methods we are able to properly account for the influence of complex spatial interactions and provide actionable analyses to managers. Our results suggest that if the coalition reduces the size of their network to only include key branch locations estimated credit card revenue increases substantially.\",\"PeriodicalId\":321987,\"journal\":{\"name\":\"ERN: Pricing (Topic)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Pricing (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3505587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Pricing (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3505587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文利用欧洲主要信用卡发行商的新数据集,通过分析复杂的空间关系如何影响信用卡消费和兑换活动,填补了联盟忠诚计划有效性研究的重要空白。一个联合项目向多家企业的客户提供奖励;联盟管理者面临的主要挑战是确定网络中每家门店的价值。我们使用详细的、个人层面的交易数据来分析联盟忠诚计划网络的空间演变如何影响卡的使用和兑换活动。通过机器学习方法的进步来增强传统的空间模型,我们能够正确地解释复杂空间相互作用的影响,并为管理者提供可操作的分析。我们的研究结果表明,如果联盟减少其网络的规模,只包括关键的分支机构,估计信用卡收入将大幅增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Coalition Loyalty Program Evolution on Member Purchases and Redemptions
This paper uses a new dataset from a major European credit card issuer to fill an important gap in the study of coalition loyalty program effectiveness by analyzing how complex spatial relationships influence card spend and redemption activity. A coalition program offers incentives to customers at multiple businesses; the primary challenge facing coalition managers is determining the value of each store in the network. We use detailed, individual-level transaction data to analyze how the spatial evolution of a coalition loyalty program network influences card usage and redemption activity. By augmenting traditional spatial models with advances in machine learning methods we are able to properly account for the influence of complex spatial interactions and provide actionable analyses to managers. Our results suggest that if the coalition reduces the size of their network to only include key branch locations estimated credit card revenue increases substantially.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信