mViva Data Monetisation is a telecom-focused platform that enables enterprises to generate new revenue streams by monetizing anonymized customer data. It supports partner ecosystems, real-time insights, and omni-channel engagement while ensuring privacy, security, and compliance. The solution uses AI/ML and advanced analytics to deliver targeted campaigns and seamless partner integration.

mViva Contextual Loyalty Management is an AI-powered platform that transforms traditional loyalty programs into personalized, dynamic experiences. It adapts to individual customer behavior and context, enabling deeper engagement through multi-channel interactions, gamification, and coalition partnerships, while maximizing retention, customer lifetime value, and brand affinity.

mViva Lead Acquisition Management is an AI-powered platform that helps businesses identify, score, and convert high-value website and app visitors into qualified leads. It enriches lead profiles using multi-source data, enables real-time segmentation, and integrates with CRM systems to optimize conversion and personalize engagement.

mViva Unified Communication Management is a scalable platform designed to centralize and streamline A2P and P2A messaging. It manages contact policies, messaging priorities, and delivery across multiple channels, ensuring consistent, error-free communication. The solution supports multilingual messaging, integrates with third-party systems, and enhances customer engagement through intelligent coordination.

mViva Contextual Campaign Management is an AI-powered platform that delivers hyper-personalized, real-time customer engagement. It uses advanced analytics and machine learning to target individuals with relevant offers across preferred channels and times, enhancing campaign effectiveness, customer satisfaction, and business outcomes.

mViva CDP is a telecom-aware Customer Data Platform that unifies customer data across systems to create a 360-degree view. It enables real-time segmentation, personalized engagement, and event-based targeting while ensuring strong data governance, privacy compliance, and seamless integration with internal and external systems.