Implementing predictive analytics in email marketing involves several steps:
Data Collection: Gather comprehensive data from various sources. Data Cleaning: Ensure the data is accurate, complete, and free of errors. Model Selection: Choose appropriate machine learning models for predictions. Training: Train the models on historical data. Deployment: Integrate predictions into email marketing platforms and campaigns.