AI models section-overview
AI models in Adobe Journey Optimizer help you make smarter, data-driven decisions by ranking offers to align with your business goals. Whether you’re aiming for higher conversion rates, increased revenue, or personalized customer experiences, these models adapt to your needs. You’ll explore two types of AI models: Auto-optimization, which focuses on improving overall performance based on past data, and Personalized optimization, which tailors recommendations for individual customers. With clear guidance on creating and using these models, you’ll learn how to unlock their potential to optimize every interaction, making your marketing strategies more effective and impactful.
AI Models in Adobe Journey Optimizer
Get Started with AI Models
Learn about AI models in Adobe Journey Optimizer, their types, functionality, and steps to create and use them for ranking offers based on business goals.
Understanding Auto-optimization Models
Discover how Auto-optimization models use algorithms like Thompson sampling to maximize KPIs, handle the cold-start problem, and measure lift.
Understanding Personalized Optimization Models
Explore how Personalized Optimization Models use customer data and machine learning to provide personalized offer recommendations and optimize KPIs.
How to Create AI Models
Follow step-by-step instructions to create AI models for offer ranking, using auto-optimization or personalized optimization strategies.