Module 3 Narration

Module 3 Narration#

Opening#

Open with the professional setting: a growth team deciding how AI-generated customer insights should guide campaign targeting. Ask students what decision is being made, who is affected, and what evidence would be persuasive to a skeptical reviewer.

Middle#

Move through the module in four passes:

  1. Define Campaign optimization in the context of AI for Marketing & Customer Insights.

  2. Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.

  3. Compare a baseline with an AI-enabled or more sophisticated alternative.

  4. Translate the result into stakeholder language: recommendation, risk, mitigation, and next evidence.

Closing#

Close by returning to the module artifact: customer insights package with segmentation, measurement design, and consent constraints focused on campaign optimization: Design an A/B test and optimization loop.. Students should leave knowing exactly what artifact they are producing and how it will be judged.