The Influence of retention strategies on customer loyalty among FinTechs in Nairobi County

Abstract

The rapid expansion of Kenya's FinTech sector has been accompanied by escalating customer acquisition costs, as firms compete aggressively for the same pool of digitally active customers through marketing, onboarding incentives, and promotional offers. Yet these costly acquisition gains are frequently eroded by a persistent "leaking bucket" problem: customers acquired at significant expense churn shortly afterward, draining the very revenue base that acquisition spending is meant to build. Low switching barriers and the increasing availability of alternative digital financial solutions intensify this dynamic, making retention, rather than continuous acquisition, the more sustainable path to profitability. Despite the strategic importance of customer loyalty for sustainability and profitability, many FinTechs continue to experience customer migration due to evolving expectations for personalized services, meaningful incentives, and responsive support systems. Although prior studies have examined customer retention in traditional banking and other service sectors, limited empirical evidence exists on the retention strategies that effectively enhance customer loyalty within Kenya's FinTech ecosystem. Therefore, this study investigated the influence of retention strategies, including personalized financial solutions, incentive programs, and hybrid digital-human support models, on customer loyalty among FinTechs in Kenya. The study was anchored on Relationship Marketing Theory and Commitment-Trust Theory. A positivist research philosophy and a descriptive cross-sectional survey design guided the study. The target population consisted of 126 licensed FinTechs in Kenya, and a census approach was adopted to collect data from managers within these firms. Primary data were collected using structured questionnaires based on a five-point Likert scale and analyzed using both descriptive and inferential statistics, including Pearson correlation and multiple linear regression. The findings revealed that all three retention strategies had positive and statistically significant relationships with customer loyalty. Personalized financial solutions enhanced customer loyalty through tailored offerings and advisory services, although their level of implementation was moderate. Incentive programs also demonstrated a significant positive relationship with customer loyalty, with reward structures and ease of redemption contributing to customer engagement and retention. Hybrid digital-human support models exhibited the strongest relationship with customer loyalty, highlighting the importance of integrating digital efficiency with human interaction in service delivery. Overall, the study established that effective retention strategies are important predictors of customer loyalty in the FinTech sector. Based on these findings, the study recommends that policymakers develop frameworks that support data-driven personalization while ensuring data privacy and transparency in incentive programs. FinTech managers are encouraged to invest in advanced personalization capabilities, design relevant and accessible incentive programs, and strengthen hybrid support systems by improving digital platforms and human service responsiveness. The study contributes to theory and practice by extending the application of Relationship Marketing Theory and Commitment-Trust Theory within the FinTech context and providing practical insights for enhancing customer loyalty in competitive digital financial environments. Keywords: FinTech, customer loyalty, retention strategies, customer acquisition costs, customer churn, Kenya, personalized financial solutions, incentive programs, hybrid support models