Uplift Analysis with Decisionhouse

Uplift analysis enables an analyst to predict or explain the differential impact of a campaign on each segment of customers. The analysis uses a random control group to identify the difference between a segment's propensity or magnitude of response given treatment versus no treatment.

Duration: ½ day

Audience

Business and marketing analysts who want to understand uplift modeling, and use point-and-click Decisionhouse tools to build uplift models.

Pre-requisites

Prior attendance at the Segmentation and Profiling and Predictive Modeling modules.

Topics covered

• Why uplift analysis is useful
• When uplift analysis is valid
• Building uplift models in Decisionhouse
• Understanding how to measure model predictiveness
• The problem of overfitting in uplift modeling

Back