Churn forecasting in Telecommunications
Increases predictive power
Data on phone calls allows identifying communication relationships between customers and defining which customers maintain regular contact, whether these contacts be professional, family, friendship or purchases.
Phone call records are used as the initial source of information to define relationships and for the subsequent identification of communities.
Based on this information, our methodology for Social Network Analysis adds analysis of communities - where customers are immersed - to the traditional churn estimation model. In this manner, studying those communities where the most recent cancellations took place, churn rate forecasting indexes are much more precise.
Neo Metrics has implemented this methodology in one of the largest telecommunications carriers in Spain, achieving a 30% reduction in churn rates.
Analysing to decide. Deciding to create value.