Complementary On-Demand Webcast
Key driver modeling is a widely used technique to better understand why customers buy, why they consider a brand, and what increases brand loyalty. It is well known that conventional modeling techniques come with unrealistic statistical assumptions resulting in low explanation power. For that reasons, conventional techniques often lack face validity. Frank Buckler will illustrate an alternative approach to key driver modeling. Using simple examples, Frank will demonstrate how the new modeling approach will lead to entirely new insights (including the model-free discovery of nonlinearities in real-world customer data, interactions, and indirect effects).