A Decision Support Framework for Customer Loyalty Program Managers: Reward Mix Optimization

Customer Loyalty Programs are a proven methodology for establishing and maintaining customer relationships. With the development of mobile technologies and the power of digitalization, what was once a simple punch card has now evolved into a full-fledged mobile application. The paradigm shift has opened up research areas on an individual customer level, especially in non-contractual traditional commerce, which was previously impossible due to a lack of loyalty data. The cost and budget of Customer Loyalty Programs increase with their strategic value. Balancing the attractiveness of a reward to the customer with the unit cost to the organization is essential for designing effective programs. In this study, we propose a framework that combines the attractiveness and unit cost of rewards to provide an optimized reward mix, thereby aiding Customer Loyalty Program managers in their decision-making processes.

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Publication Details

Journal
The European Journal of Research and Development
Published
2025-11-27
DOI
https://doi.org/10.56038/ejrnd.v5i1.679
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
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article

A Decision Support Framework for Customer Loyalty Program Managers: Reward Mix Optimization

Sahika Koyun Yilmaz, Meryem Ezgi Aslan, Gizem Temelcan, Ayşe Salı
The European Journal of Research and Development
Customer churn and segmentation
article

A Decision Support Framework for Customer Loyalty Program Managers: Reward Mix Optimization

Sahika Koyun Yilmaz, Meryem Ezgi Aslan, Gizem Temelcan, Ayşe Salı
article en

Abstract

Customer Loyalty Programs are a proven methodology for establishing and maintaining customer relationships. With the development of mobile technologies and the power of digitalization, what was once a simple punch card has now evolved into a full-fledged mobile application. The paradigm shift has opened up research areas on an individual customer level, especially in non-contractual traditional commerce, which was previously impossible due to a lack of loyalty data. The cost and budget of Customer Loyalty Programs increase with their strategic value. Balancing the attractiveness of a reward to the customer with the unit cost to the organization is essential for designing effective programs. In this study, we propose a framework that combines the attractiveness and unit cost of rewards to provide an optimized reward mix, thereby aiding Customer Loyalty Program managers in their decision-making processes.

The European Journal of Research and DevelopmentVol. 5(1)
Yıldız Technical University (TR), Beykoz Üniversitesi (TR), Software Research and Development Consulting (TR), Sağlık Bilimleri Üniversitesi (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Customer churn and segmentation
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A Decision Support Framework for Customer Loyalty Program Managers: Reward Mix Optimization — Sahika Koyun Yilmaz, Meryem Ezgi Aslan, et al. · The European Journal of Research and Development (2025) | TGRS Research Map | TGRS