Predictive analytics- an example

The analytic solution:

You want to determine which components of a recent sales campaign contributed to revenue changes in your Product A.  20 sales personnel are dedicated to this product.

You have data for these the important variables:

 1) Advertising dollars for the campaign.
 2) Hours of product training for each sales personnel.
3) Years of sales experience for sales personnel rated by revenue production.
4) Number of sales presentations documented by each sales personnel.

Predictive analytics can take this data and determine the contribution of each component to the revenue for Product A.  Let's say that the statistical modeling found that the number of sales presentations contributed 64% to revenue increases while advertising dollars contributed 17%.

Would this be valuable information for an executive to know?