AI models section-overview

AI models in Adobe Journey Optimizer help you deliver the right offer at the right moment by ranking and personalizing recommendations based on your business goals and customer interactions. Whether you want to optimize globally for clicks and conversions or tailor offers to specific audiences, these models use advanced techniques like machine learning to make decisioning smarter and more effective. You’ll explore two key types- Auto-optimization for global performance and Personalized optimization for audience-specific recommendations- plus learn how to create models, handle challenges like the cold-start problem, and track results. Unlock the power of data-driven decisioning with confidence and precision.

AI Models in Adobe Journey Optimizer

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Get Started with AI Models

Learn about the types, purposes, and steps to create and use AI models for ranking offers in Adobe Journey Optimizer.

Learn more about AI models

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Auto-optimization Models

Understand how Auto-optimization models work, including Thompson sampling and Bayesian inference, to maximize KPIs like conversion rates.

Explore Auto-optimization models

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Personalized Optimization Models

Discover how Personalized Optimization Models leverage customer data to recommend personalized offers and boost business KPIs.

Dive into Personalized Optimization

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Step-by-Step Guide: Creating AI Models

Follow a detailed tutorial for creating AI models to rank offers based on business goals and optimization metrics.

Start creating AI models

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