Predictive Subscriber Churn Reduction Solution | BYOL

The VOZIQ AI Predictive Subscriber Churn Reduction Solution on AWS is designed to help subscription business leaders deploy VOZIQ AI award-winning AI/ML technology to predict and effectively prevent subscriber churn using subscriber-level predictive intelligence. Within a secure and scalable AWS environment, users can quickly integrate enterprise data feeds, and leverage VOZIQ AI Enterprise AI platform, equipped with ML models, which are pre-trained on 20 million subscribers, and third-party data enrichments such as geolocations. The intuitive platform guides you through data preparation and integration, making it easy to generate highly actionable subscriber-level predictions and their unique churn risk attributes that inform enterprise-wide decisions. The solution leverages proven best-customer modeling capabilities of VOZIQ AI technology and uncover untapped churn reduction opportunities using subscriber-level predictions for attrition risk, lifetime value, survival analytics and geolocational intelligence. VOZIQ AI offers the AI-powered predictive retention delivered as a service which includes ongoing AI model customization, continuous data integration, third-party data enrichment, and expert-managed infrastructure on AWS. Our dedicated team of solution consultants, data scientists, and AI engineers acts as an extension of your team and ensures continuous optimization, governance, and business value delivery tailored to unique growth challenges and priorities of your organization. To help you more easily plan and progress along your AI-driven predictive retention journey, VOZIQ AI has introduced a structured roadmap that systematically delivers accelerated value while building a robust AI foundation for future scaling needs. The roadmap has following stages:

1. Proof of Value: This is a 30 to 60-day engagement with a focus on identifying top retention improvement opportunities using first-party and third-party data samples, and develop a business case and implementation plan.
2. Quick Launch: Deploy the AI solution in either call center or marketing depending upon your priorities to actively identifying at-risk customers, predict lifetime value for every customer, micro-segment them based on risk and value, and deliver personalized offers to optimize profitability and maximize retention gains.
3. Expand Use Cases: Deploy purpose-built ML models to optimize additional CLV levers such as acquisition, pricing, upgrades, referrals, winback.
4. Scale Channels: Deploy unit-level intelligence across channels and customer touchpoints to maximize CLV in a consistent manner. Schedule a 1:1 strategy call to get a customized roadmap/pricing through private offer: info@voziq.ai