In this scenario, marketers are performing an experiment in which they hope to discover which of three similar promotions works best in their store. The premise is to increase sales of bikes by offering a discounted helmet with the order of any bike. We would like to determine which discount is most effective: 25%, 30%, or 40% off.
This scenario waits for a customer to view a bike template. When that happens, the first thing we do is put a helmet into the ProductSlot slot that we want to suggest to the customer. Next the customer is randomly given one of the three offers. First the offer is shown in the MediaSlot, then the promotion is given to the customer, and then everything is recorded into the audit trail. The scenario then waits for the customer to submit an order that uses that promotion, and records that fact into the audit trail. If the customer does not use the promotion, we remove it from her profile.
By looking at several factors, our marketers then determine which promotion was most effective. They can examine issues such as whether 40% off attracts more customers than 30%or whether reduced margins are compensated by more sales.
