Statistical services provided are organized into four groups:

1) Segmentations to better understand the various characteristics of a customer or donor base, to improve promotion targeting, to assign profit potentials, and to study segment dynamics or leverage overlay data. Segmentation is also a necessary  preselection step for predictive modeling and for other analyses such as lifetime value calculations. More...

2) Predictive Modeling to score and rank customers according to a performance metric related to a specific response or outcome. It is a key strategic instrument at all stages of your customers’ lifecycle: Acquisition, conversion and prospecting models, customer retention, promotional targeting, lifetime value prediction and best customer look-alike models. More...

3) Knowledge Discovery identifies association rules that occur in your data. Elements from both segmentation and predictive modeling are used to identify up-sell and cross-sell opportunities. More...

4) Stochastic Programming projects are of longer term and more sophisticated in nature. They deliver a plan for optimized campaign management under budgetary, quantity and other constraints. More...