The flow is simple. It displays the data in a table. The two revenue fields (Before and After) are expressed in absolute terms. However, it seems likely that the increase in revenue after the promotion (and presumably as a result of it) would be a more useful figure.

The flow also contains a node to derive this value, expressed as a percentage of the revenue before the promotion, in a field called Increase. A table shows this field.

For each class of product, and almost linear relationship exists between the increase in revenue and the cost of the promotion. Therefore, it seems likely that a decision tree or neural network could predict, with reasonable accuracy, the increase in revenue from the other available fields.