When building models to predict probability of sales etc. Its intuitive to select customers who already have bought the product as training data for class 1 and customers who does not have the product as class 0.
But, many of the customers who does not have that product may have never been introduced to it, and would have bought it if they were. So they don't really belong in the 0 class in the training data.
Doe anyone have any thoughts/reflections on this? Whats the consequence?, can we do something to mitigate etc.