Churn Rate Optimization
Enables you to flag customers at risk and target them to optimize their retention.
Input: usage data, billing data, ARPU, demographic data, call center data
Output: churn score for every line, identification of potential churners
Social Network Analysis
Identifies roles of people in the network: Alpha users, linkers or opinion makers, as well as community layers such as family, friends or colleagues.
Input: call detail records data
Output: network from calls
Finds various usage patterns between the lines, for example onnet/offnet callers, business hours/weekend callers, customers with heavy data usage etc.
Input: calling usage, data usage for segmentation, ARPU, tenure, demographic data, VAS, customer information
Output: cluster assignment to every line and profiling of the clusters
Determines the value each customer brings to your business.
Input: customer information, ARPU
Output: cluster assignment to every line