If you re-implement this requirement by using the always-on outbound customer engagement paradigm, how do you approach this scenario?

A bank has been running traditional marketing campaigns for many years. One such campaign sends an offer email to qualified customers on day one. On day five, the bank presents a similar offer if the first email is ignored.

If you re-implement this requirement by using the always-on outbound customer engagement paradigm, how do you approach this scenario?
A . Create two segments to identify the target audience for each of the two offer emails: day one, and day five. Set up two schedules per day for the two segments.
B . Create an action with a flow that contains two Send Email shapes, one for each email. Set appropriate wait times between the shapes.
C . Configure the primary schedule to run daily and let the artificial intelligence (AI) choose the best action based on engagement policies.
D . Configure a primary schedule for the original offer email and setup an ad-hoc schedule to send the second email.

Answer: C

Explanation:

The always-on outbound customer engagement paradigm relies on AI to select the best action for each customer at any given time, based on their profile, context, and behavior. You do not need to create separate segments or schedules for different offers or timings. You can configure the primary schedule to run daily and let the AI choose the best action based on engagement policies, such as contact policies, eligibility rules, suitability rules, and arbitration. The AI will also learn from the customer responses and optimize the action selection over time.