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.

Predictive Analytics to Increase Marketing Response Rate by 166%

We recently released a case study on how e-commerce site Trade Me increased response rate in an electronic direct mail (EDM) campaign using predictive analytics. This customer analytics solution utilizes propensity modelling to identify which customers are statistically most likely to respond to a campaign offer. Trade Me used 11Ants Customer Response Analyzer to achieve an increase in response rate of 166%. Read the full case study here.