Reducing Customer Churn at a Mobile Telecommunications Operator

We recently released a case study about how mobile telephone operator 2degrees was able to utilize predictive analytics to identify those customers at risk of churning (leaving). This customer analytics solution utilizes propensity modelling to identify which customers are statistically most at risk of churning. 2degrees used 11Ants Customer Churn Analyzer to achieve an increase in identification rate of 1275%. Read the full case study here.