Identify customers at risk of involuntary churn and minimize customer attrition.
Customer propensity to involuntarily disconnect, including deciles and centiles
Understand key predictors of involuntary customer disconnect
Performance assessment and ROI simulation
Prevent customer attrition due to non-discretionary factors
This describes how far ahead in the future this model can be trained to predict. Ideally, the historical data available for training would be 2-3 times longer than the prediction window.
Identify and resolve underlying payment difficulties before they lead to disconnects.
Maintain intervention effectiveness with continuous optimization.
A typical modeling engagement with GlorifAI lasts 3-4 weeks once we get access to the data and proceeds in three distinct phases.
