Artificial Intelligence and Automation in Growth Marketing Questions

Focuses on practical use of artificial intelligence and automation to improve campaign performance and scale personalization. Candidates should describe use cases such as automated bidding and budget allocation, predictive analytics for propensity scoring and churn risk, automated audience segmentation, and personalized content delivery. Discussion should include tool selection criteria, data and instrumentation requirements, monitoring and governance to prevent model drift and bias, and methods for measuring incremental impact versus manual controls. Candidates should also be able to articulate when automation is appropriate versus manual optimization and how to integrate automation into experimentation and operational workflows while accounting for privacy and ethical considerations.