Net Promoter Score (NPS) is widely used by telecom operators as a top-level executive metric for measuring customer loyalty, yet the industry still relies largely on survey-based, reactive approaches that fail to scale across millions of subscribers. As a result, CSPs struggle to translate NPS insights into timely actions that reduce churn, improve customer experience, and increase lifetime value. The NPS Enables Best Network and Customer Experience Catalyst introduces a data- and AI-driven framework to manage NPS holistically across the customer lifecycle. Instead of treating NPS as a periodic survey result, the solution models NPS continuously using multi-source operational, behavioral, and service data, enabling proactive identification of experience risks and “off-grid” customers who are likely to disengage without submitting complaints. Building on proven deployments, the Catalyst demonstrates how predictive NPS (P-NPS) models can outperform traditional approaches by accurately identifying high-risk customers and prioritizing retention actions that deliver measurable business value. The solution focuses on practical scalability—optimizing data quality, improving model accuracy, and defining a minimum, cost-effective feature set that balances predictive performance with operational feasibility. Aligned with TM Forum best practices, the Catalyst enables CSPs to connect network performance, service quality, and customer behavior into a unified NPS management loop. Success is measured through improved model accuracy, reduced churn, and increased customer lifetime value, with even modest NPS improvements translating into millions of dollars in retained revenue for large operators. By transforming NPS from a static score into an actionable, AI-driven decision engine, this Catalyst provides CSPs with a repeatable, industry-relevant approach to delivering better network experiences, stronger customer loyalty, and sustainable business growth.