B2B Segmentation of Coal Buyers Using RFM Analysis and Ethnography at PT XYZ
Main Article Content
Abstract
This study investigates market volatility and latent churn risks in Indonesia’s B2B coal sector at PT XYZ amid fluctuating global commodity prices and Indonesia Stock Exchange (IDX) regulations. Using a sequential explanatory mixed-methods approach, RFM modeling of 500 invoices from 59 corporate buyers (2023–2024) identified nine behavioral segments. Validating the Pareto principle, only 11.8% of clients qualified as Strategic Key Buyers, ensuring monetary stability. Comparative analysis revealed six high-value buyers experiencing severe latent churn, where transaction frequency plummeted despite high historical value (e.g., Buyer B040 dropping from 333 to 113). Ethnographic interviews with the commercial team identified four primary pain points driving relationship decay: uncompetitive domestic pricing, global ESG compliance pressures, maritime logistics bottlenecks causing vessel demurrage, and coal blending quality deviations. Despite increased sales volume, PT XYZ suffered a 27% revenue decline in 2024 due to crashing global prices. To optimize retention, an integrative 8Ps marketing mix framework is developed. Key recommendations include an IoT-enabled CRM early warning system for maritime tracking and deploying dedicated Senior Account Managers for strategic clusters. This proactive framework mitigates latent churn, securing long-term contractual compliance.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Aldyah, T., Sugino, A., Muzakkar, M., & Heikal, J. (2024). RFM Segmentation Analysis for Determine Online Marketing Strategy: the Soul Coffee Mate Case Study. BUDGETING : Journal of Business, Management and Accounting, 5(2), 797–807. https://doi.org/10.31539/budgeting.v5i2.8728
Arnould, E. J., & Wallendorf, M. (1994). Market-Oriented Ethnography: Interpretation Building and Marketing Strategy Formulation. Journal of Marketing Research, 31(4), 484–504. https://doi.org/10.1177/002224379403100404
Bumi Resources. (2024). Kaltim Prima Coal Company Profile. PT Bumi Resources Tbk. https://www.bumiresources.com/en/about-us/subsidiaries/detail/kaltim-prima-coal
Creswell, J. W., & Clark, V. P. (2018). Designing and conducting mixed methods research. SAGE Publications. https://collegepublishing.sagepub.com/products/designing-and-conducting-mixed-methods-research-3-241842
Djun, S. F., Gunadi, I. G. A., & Sariyasa, S. (2024). Analisis Segmentasi Pelanggan pada Bisnis dengan Menggunakan Metode K-Means Clustering pada Model Data RFM. JTIM : Jurnal Teknologi Informasi Dan Multimedia, 5(4), 354–364. https://doi.org/10.35746/jtim.v5i4.434
Elebe, O., & Imediegwu, C. C. (2023). Automating B2B market segmentation using dynamic CRM pipelines. International Journal of Multidisciplinary Research and Studies, 3(6), 1973–1985.
Güçdemir, H., & Selim, H. (2015). Integrating multi-criteria decision making and clustering for business customer segmentation. Industrial Management & Data Systems, 115(6), 1022–1040. https://doi.org/10.1108/IMDS-01-2015-0027
Guesalaga, R., & Johnston, W. (2010). What’s next in key account management research? Building the bridge between the academic literature and the practitioners’ priorities. Industrial Marketing Management, 39(7), 1063–1068. https://doi.org/10.1016/j.indmarman.2009.12.008
Guliyev, E., Sanchez Ramirez, J., De Caigny, A., & Coussement, K. (2025). Improving B2B customer churn through action rule mining. Industrial Marketing Management, 125, 1–11. https://doi.org/10.1016/j.indmarman.2024.12.005
Harahap, A. I. B., Aji, G. K., Firdaus, M. K., & Heikal, J. (2025). Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim. Journal of Management and Bussines (JOMB), 7(4), 286–295. https://doi.org/10.31539/cs7vg202
Hochstein, B., Voorhees, C. M., Pratt, A. B., Rangarajan, D., Nagel, D. M., & Mehrotra, V. (2023). Customer success management, customer health, and retention in B2B industries. International Journal of Research in Marketing, 40(4), 912–932. https://doi.org/10.1016/j.ijresmar.2023.09.002
Johnston, W. J., & Lewin, J. E. (1996). Organizational buying behavior: Toward an integrative framework. Journal of Business Research, 35(1), 1–15. https://doi.org/https://doi.org/10.1016/0148-2963(94)00077-8
Junussov, M., Zholtayev, G. Z., Kembayev, M. K., Umarbekova, Z. T., Mashrapova, M. A., Antonenko, A. A., & Fu, B. (2026). Coal research in the global energy transition: Trends and transformation (1975–2024). Energies, 19(4), 1017.
Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value. Journal of Marketing, 80(6), 36–68. https://doi.org/10.1509/jm.15.0414
Mora Cortez, R., Clarke, A. H., & Freytag, P. V. (2025). B2B market segmentation – An analysis of current practices and their implications. Journal of Business Research, 189, 115144. https://doi.org/10.1016/j.jbusres.2024.115144
Mulyanto, I. A., & Heikal, J. (2026). Customer Segmentation in B2B Professional Services Using RFM Analysis and Ethnographic Insights: Evidence from a 15-Year Longitudinal Study. Journal Research of Social Science, Economics, and Management, 5(8), 10854–10865. https://doi.org/10.59141/jrssem.v5i8.1349
Palmatier, R. W., Dant, R. P., Grewal, D., & Evans, K. R. (2006). Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis. Journal of Marketing, 70(4), 136–153. https://doi.org/10.1509/jmkg.70.4.136
Ranjan, A., & Srivastava, S. (2022). Customer segmentation using machine learning: A literature review. AIP Conference Proceedings, 020036. https://doi.org/10.1063/5.0103946
Reyes, A. delos. (2024). Indonesia’s KPC aims for steady 2024-26 coal output Market: Coal. Argus Media. https://www.argusmedia.com/en/news-and-insights/latest-market-news/2551233-indonesia-s-kpc-aims-for-steady-2024-26-coal-output
Tedja, B., Musadieq, M. Al, Yulianto, E., & Kusumawati, A. (2024). Sustaining Success in B2B Partnerships: Exploring Intention to Continue the Relationship. Sustainability, 16(10), 4211. https://doi.org/10.3390/su16104211
Widiantono, A., & Sejati, P. (2022). Implementation of Knowledge Management on Customer Relationship Management System, A Literature Review. In Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (pp. 55–65). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-084-8_7