You are building a model to predict customer behavior for a fuel and convenience retail business. The marketing team wants to use transaction history, loyalty activity, and campaign engagement data to forecast which customers are most likely to respond to an upcoming offer so they can target outreach more effectively.
How would you approach building this predictive model, from framing the target and selecting features to choosing a modeling approach, evaluating performance, and preparing it for production use?