From SLA To Exit – Integrating Service Compliance, Ticket Prioritization, And Automated Feedback Loops To Predict Churn In Enterprise SaaS

Authors: Shashank Shekhar Tripathi

Abstract: Despite aggressive adherence to Service Level Agreements (SLAs), B2B SaaS firms continue to experience unexpected customer churn. This paper posits that the missing link is a granular, empirical understanding of how day-to-day SLA performance interacts with ticket priority to influence post-resolution satisfaction and retention. By synthesizing foundational service quality theories with modern deep-learning prioritization models, this research proposes an Integrated SLA – Priority – CSAT – Churn Model. Furthermore, it addresses the "blind spots" caused by low survey response rates through a validated three-step automated follow-up system. The anticipated contribution is a real-time "Retention Risk Score" and a cross-industry benchmark layer that offers a replicable blueprint for mitigating churn in high-value account environments.