Policies that guide how firms trade off exploring to improve a current targeting policy, versus exploiting to harvest profits from the current policy, typically focus on settings in which individual or small batches of customers arrive frequently. However, when demand is seasonal, marketing...

We propose an approach for determining the sample size required when using an experiment to train and certify a targeting policy. Calculating the rate at which the performance of a targeting model improves with additional training data is a complex problem. We approximate the problem by grouping...

quot;Greedoid languagesquot; provide a basis to infer best-fitting noncompensatory decision rules from full-rank conjoint data or partial-rank data such as consider-then-rank, consider-only, or choice data. Potential decision rules include elimination-by-aspects, acceptance-by-aspects,...

Aesthetics are critically important to market acceptance. In the automotive industry, an improved aesthetic design can boost sales by 30% or more. Firms invest heavily in designing and testing aesthetics. A single automotive “theme clinic” can cost over $100,000, and hundreds are conducted...