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Design of a Tracking System for Monitoring the Performance of Cosmetic Products Sold in Pharmaceutical Channels

  • Aleyna Küçükeruğurlu
  • , Hatice Buse Güner
  • , Ferhan Çebi*
  • *Corresponding author for this work
  • Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Effective performance tracking is pivotal for brands striving to excel in the dynamic world of dermocosmetics. This study introduces a system designed to monitor the sales performance of two new premium dermocosmetic brands entering the pharmacy channel of a global FMCG company. By emphasizing the need for understanding customer behavior and tailoring sales strategies, the research integrates RFMV (Recency, Frequency, Monetary, and “V” for in-pharmacy sales influencing factors) analysis as a powerful tool for customer segmentation. The study employs RFMV analysis and K-means clustering to classify pharmacies into three distinct segments: “Loyal Customers,” “Potential Loyal Customers,” and “Risk Customers.” Strategic insights are provided for each segment, offering practical recommendations to enhance sales performance and refine marketing tactics. This approach delivers actionable insights for optimizing product performance and strategic decision-making in a competitive market.

Original languageEnglish
Title of host publicationSustainable Green Conversion - Selected Papers from ISPR 2024
EditorsNuman M. Durakbasa, Kemal Güven Gülen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages435-448
Number of pages14
ISBN (Print)9783031836107
DOIs
Publication statusPublished - 2025
Event24th International Symposium for Production Research, ISPR 2024 - Budva, Montenegro
Duration: 10 Oct 202412 Oct 2024

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference24th International Symposium for Production Research, ISPR 2024
Country/TerritoryMontenegro
CityBudva
Period10/10/2412/10/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

  • Customer segmentation
  • Market optimization
  • Marketing analytics
  • Performance monitoring

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