Customer Churn Determinants in International Turkish Banking Operations: Statistical Analysis and Strategic Implications from a Multi-Market Case Study
Öz
Customer retention presents critical challenges for Turkish banking institutions operating in international markets, where cultural differences, regulatory variations, and competitive dynamics create complex customer relationship management requirements. This study examines customer churn determinants through statistical analysis of 10,000 customer records from a Turkish bank's European operations across Germany, France, and Spain. Using comprehensive segmentation analysis and correlation techniques, the research identifies four primary churn drivers: complaint resolution failures, age-related service gaps, geographic market disparities, and account inactivity patterns. The overall churn rate stands at 20.38%, with complaint status being the strongest predictor (r = 0.996). Notably, 99.51% of customers who file complaints eventually leave their bank. Age is the second most significant factor (r = 0.285), with churn increasing from 7.52% among customers aged 18-30 to 44.65% for those over 50. Geographic trends show German customers have a much higher churn rate (32.44%) than French (16.17%) and Spanish (16.67%) clients. Inactivity also signals risk, as inactive users are 88% more likely to leave. These findings challenge traditional retention strategies focused mainly on transactional benefits. Instead, they highlight urgent gaps in complaint resolution, age-specific services, and culturally tailored approaches. To reduce churn, Turkish banks must shift from reactive measures to proactive customer relationship management, including effective complaint handling, personalized services, and early warning systems. This approach offers a clear roadmap for improving loyalty and competitive edge in Turkey’s dynamic banking environment.
Anahtar Kelimeler
customer retention, banking sector, churn prediction, complaint management, digital transformation
Kaynakça
- Akçay, S., & Karasoy, A. (2020). Determinants of private investments in Turkey: Examining the role of democracy. Review of Economic Perspectives, 20(1), 23-49. https://doi.org/10.2478/revecp-2020-0002
- Aykanat, Z., Yıldız, T., & Çelik, A. K. (2025). Organizational readiness for big data analytics, business analytics adoption and data-driven culture: The case of Turkish banking sector. Management Research and Practice, 17(1), 18-34.
- Bayhan, B. O., & Özbük, R. M. Y. (2024). Omnichannel retailing in Türkiye: A content analysis study. Pazarlama ve Pazarlama Araştırmaları Dergisi, 17(2), 341-368.
- Buttle, F., & Maklan, S. (2019). Customer relationship management: Concepts and technologies (Fourth edition). Routledge.
- Carbo-Valverde, S., Cuadros-Solas, P., & Rodríguez-Fernández, F. (2020). A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests. PLoS One, 15(10), e0240362. https://doi.org/10.1371/journal.pone.0240362
- Central Bank of the Republic of Turkey. (2023). Financial stability report - May 2023, Volume 36. Türkiye Cumuriyet Merkez Bankası. https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Reports/Financial+Stability+Report/2023/Financial+Stability+Report+-+May+2023,+Volume+36 (Accessed Date: 10 April 2025).
- Chaffey, D., Ellis-Chadwick, F., Mayer, R., & Johnston, K. (2009). Internet marketing: Strategy, implementation and practice (Fourth edition). Pearson Education.
- Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2023). Value based marketing: Examining the role of leadership support in promoting neuromarketing. Journal of Transnational Management, 28(1-2), 141-164. https://doi.org/10.1080/15475778.2023.2223109
- Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context. Industrial Marketing Management, 97, 205-219. https://doi.org/10.1016/j.indmarman.2021.07.013
- Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255
