Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim

This study aims to analyze PT Five Ocean Indonesia's partner segmentation in meeting maritime workforce needs as a basis for developing data-driven marketing strategies. The research method used a quantitative approach using the RFM (Recency, Frequency, Monetary) technique and data processing using SPSS. The results indicate that the company's partners can be categorized into three main segments: Best Customers, Potential Customers, and Potential Customers, based on their RFM scores. Most partners fall into the medium transaction value and medium request frequency categories, while only a small percentage consistently contribute high volumes. The study concludes that the RFM method is effective in identifying partner behavior and supporting the company in designing retention, reactivation, and market development strategies to increase competitiveness and business desirability in the maritime workforce industry. Keywords: Partner Segmentation, Maritime Workforce, Data-Driven Marketing Strategy

Authors

Institutions

Publication Details

Journal
Journal of Management and Bussines (JOMB)
Published
2025-08-14
DOI
https://doi.org/10.31539/cs7vg202
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim

Mufti Kusuma Firdaus, Galih Kusuma Aji, Jerry Heikal, Ahmad Ilham Bachrie Harahap
Journal of Management and Bussines (JOMB)
Management and Optimization Techniques
article

Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim

Mufti Kusuma Firdaus, Galih Kusuma Aji, Jerry Heikal, Ahmad Ilham Bachrie Harahap
article en

Abstract

This study aims to analyze PT Five Ocean Indonesia's partner segmentation in meeting maritime workforce needs as a basis for developing data-driven marketing strategies. The research method used a quantitative approach using the RFM (Recency, Frequency, Monetary) technique and data processing using SPSS. The results indicate that the company's partners can be categorized into three main segments: Best Customers, Potential Customers, and Potential Customers, based on their RFM scores. Most partners fall into the medium transaction value and medium request frequency categories, while only a small percentage consistently contribute high volumes. The study concludes that the RFM method is effective in identifying partner behavior and supporting the company in designing retention, reactivation, and market development strategies to increase competitiveness and business desirability in the maritime workforce industry. Keywords: Partner Segmentation, Maritime Workforce, Data-Driven Marketing Strategy

Journal of Management and Bussines (JOMB)Vol. 7(4)
Bakrie University (ID)
Openalex Percentile: Top 60%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.