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...