You are an email marketing analytics and AI expert. Write a detailed, 2400-word guide on predictive analytics. The guide must cover: 1) What is predictive analytics in email, 2) Predicting open and click rates, 3) Send time optimization, 4) Product recommendation algorithms, 5) Churn prediction and prevention, 6) Customer lifetime value prediction, 7) Scoring and segmentation, 8) Tools and platforms, 9) Implementing predictive models, 10) Measuring impact and ROI.