American International Journal of Research and Innovation

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Subscription-Based Business Models and Customer Retention: An Integrated Framework for Churn Reduction and Sustainable Value Creation

Author(s) Maciej Mitręga
Country United States
Abstract Organizations across software, digital media, e-commerce, and industrial services are rapidly transitioning from traditional one-off transactional sales toward subscription-based recurring revenue business models. While subscription mechanisms promise predictable cash flow, lower long-term acquisition pressure, and expanded customer lifetime value (LTV), their structural viability depends fundamentally on customer retention and churn mitigation. This study develops an integrated conceptual and analytical framework for customer retention within subscription-based business models. The proposed model synthesizes predictive analytics, proactive customer success management, value-based dynamic pricing, personalized engagement, and transparent churn governance. Using a simulation-based analytical design, the paper examines how increasing levels of subscription management maturity—from passive recurring billing to fully integrated, data-driven customer success systems—impact organizational performance across five dimensions: engagement depth, churn mitigation efficiency, lifetime value optimization, personalized value delivery, and governance quality.
A composite Customer Retention Maturity Index (CRMI) is introduced to operationalize retention performance beyond raw renewal rates. Simulated results demonstrate that advancing from a reactive subscription model to an integrated, predictive system increases the composite index from 58.4 to 84.8, with the highest gains observed in churn reduction and strategic responsiveness. The study concludes that customer retention in subscription ecosystems cannot be achieved through lock-in tactics or barrier-to-cancellation designs alone, but requires continuous value delivery, transparent governance, and cross-functional alignment.
Keywords : subscription business models; customer retention; churn prediction; customer lifetime value; predictive analytics; customer success management; recurring revenue; customer experience.
Field Engineering
Published In Volume 2, Issue 4, July-August 2020
Published On 2020-08-30
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