As a telecommunications provider, you have unmatched insight into your customer. From usage to roaming to purchasing, every piece of information offers the opportunity to maximize revenue—but only if your technology lets you intake critical data at hyperscale.
Problem: Switching wars, customer acquisition, marketing effectiveness
Solution: Leveraging machine learning for micro-segmentation, targeting, propensity modeling, campaign automation, etc.
Benefits: Reduced churn, market share gains, marketing spend optimization, hyper-personalization, contextual data-driven ads
Problem: Well-defined, mature, and finite market with significant customer poaching and churn
Solution: Churn reduction, cost savings, improved profitability, and payments recovery
Benefits: Churn prediction and prevention while using customer lifetime value (CLV) analysis
Problem: Network reliability, performance and optimization for customer experience
Solution: Machine learning models using anomaly detection for performance and predictive maintenance
Benefits: Service-level optimization, network health, self-optimizing/healing networks and customer experience management
Problem: Revenue lift, market share gains and alliances with content providers for OTT delivery
Solution: Machine learning models; either content-based or leveraging collaborative filtering
Benefits: Next-best offer, cross-sell and up-sell, increased viewership and stickiness, revenue gains and overall ecosystem effectiveness
Near-real-time access to your data not only drives revenue, it helps you proactively monitor mission-critical business processes, including anomaly detection and predictive maintenance in locations across the world. This lets you anticipate issues and optimize network performance to prevent potential bottlenecks and congestion, preventing customer dissatisfaction, ensuring smooth operations in all conditions—and driving customer loyalty!
CAP*M Behave Engine offers unprecedented insights, including comprehensive overviews of both front-end activity: subscribers, calls and behavior, as well as back-end factors such as system load and performance, predicting saturation and enabling threshold-based alerts to prevent system failures.
80% of data network bandwidth is often consumed by just 10% of your customers. With mLogica’s CAP*M Behave Engine, you can: