Rapidly falling ARPUs owing to customer churn is perhaps the biggest challenge before a telecom operator today. Mahindra Comviva’s MobiLytix™ Churn Prediction engine aggregates subscriber usage data from transactional call data records, recharge records, billing systems and VAS service usage records. This helps in micro-segmenting customers based on transactional and usage characteristics on the network.
The information is then leveraged by the engine to ensure management of customer churn. This is achieved by proactively identifying customers who are most likely to churn so that the operator’s business team can target these customers with highly relevant promotions; thus optimizing usage and enhancing revenues per customer.