- [나스미디어]2024년 11월 2025 디지털 미디어 & 마케팅 전망
- [2025년 7월] 2025 상반기 디지털 미디어 & 마케팅 결산
- [플레이디] 2025 광고·마케팅 트렌드 전망 리포트
- [2025년 5월] 2025 NPR 요약보고서
- 기아차 SOUL의 혁신적인 제품전략 -소비자의 soul을 움직이다-
- [2024년 12월] 한 장이면 고민 끝! 2025 마케팅 이슈 캘린더
- [CJ?메조미디어] 2025 타겟?리포트_50대
- 조선-중앙-동아일보의 유사성과 차별성:1면 구성과 사설의 이념성을 중심으로
- [Case Study] 디지털 미디어 광고 사례
- [인크로스]2025년 1월 미디어 이슈 리포트
The Detrimental Effect of Customer Demotion on Customer Profitability in Hierarchical Loyalty Programs
자료요약
Firms employing hierarchical loyalty programs (HLPs) periodically demote customers from higher to lower status level to divest from unprofitable customers and boost profitability. However, existing literature lacks objective evidence on how customer demotion affects demoted customers’ future purchase behaviors and ultimately profitability for the firm. Moreover, customers in the HLP’s higher position may respond to customer demotion differently from those in the HLP’s lower position. Drawing upon emotions and equity theories, this study quantifies how the profits that customers contribute to the firm change after customer demotion, and compares demoted customers’ behavioral reactions from top-tier with those from bottom-tier based on customers’ actual behavior data from a major retail bank in South Korea. The findings show that withdrawing customer status actually deteriorates customer profitability, and customers with top-tier status decrease their profitability more dramatically than those with bottom-tier status after demotion. The results contribute to previous literature on customer demotion and relationship marketing, and provide specific guidelines into how firms should design and implement customer demotion in HLPs.
목차
Ⅰ. Introduction
Ⅱ. Theoretical Background and Hypotheses
Ⅲ. Database
Ⅳ. Analytical Procedures
Ⅴ. Results
Ⅵ. Discussion
References
Ⅱ. Theoretical Background and Hypotheses
Ⅲ. Database
Ⅳ. Analytical Procedures
Ⅴ. Results
Ⅵ. Discussion
References
#customer demotion
#hierarchical loyalty programs
#customer profitability
#emotions theory
#equity theory
#propensity score matching
#difference-in-differences estimator








