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October 11, 2025Marketing and Digital TechnologiesOpen Access

Development of RFM strategies for customer segmentation using algorithmic methods

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Authors

VKVitaliy KobetsIYIryna Yashyna

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Implication

Study demonstrates how RFM analysis improves customer segmentation, suggesting enhanced marketing strategies via algorithmic methods.

Key Points

  • RFM analysis enhances customer segmentation, leading to more tailored marketing campaigns.
  • The algorithm calculates personalized discounts by factoring in price elasticity for retail customers.
  • Machine learning models can effectively analyze customer behavior and improve marketing strategies.
  • A deeper understanding of RFM segments allows for a more personalized approach to retail marketing.

Cite This Study

Kobets et al. (2025) studied this question.

synapsesocial.com/papers/68e9b1d9ba7d64b6fc132dachttps://doi.org/10.15276/mdt.9.3.2025.3
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  5. 5IT Management Strategies for Implementing Personalized Marketing with Machine Learning in the U.S. Retail Sector2023