Increase revenue by identifying customers most likely to upgrade to premium services.
Customer propensity scores for premium service upgrade, including deciles and centiles
Understand key factors that influence premium adoption
Performance assessment and ROI simulation
Optimize premium service positioning and targeting
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.
Boost revenue through targeted premium service adoption.
Maintain premium conversion momentum 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.
