Predicting the volume of a new product to be launched is a task that many researchers have done at least once. There are a variety of methodologies to accomplish the task, which are grouped in three families: real-life tests, benchmarking, and replication of market environments. In this paper, we show the pros and cons of each of them and explain an approach that oversteps some of the limitations of these methods by using them in combination.
