This is like giving your marketing team a crystal ball: it uses past customer behavior and campaign data to guess who is most likely to buy, click, or leave, so you can send the right message to the right person at the right time.
Reduces wasted ad spend and guesswork in digital marketing by forecasting customer behavior (clicks, purchases, churn) and automatically optimizing audiences, bids, and content across channels.
Classical-ML (Scikit/XGBoost)
Feature Store
Medium (Integration logic)
Data volume and feature engineering complexity for large, multi-channel marketing datasets
Early Majority
Focus on applying predictive models to campaign optimization and customer-level forecasting within digital advertising rather than generic analytics.