Decisioning section-overview
Decisioning in ÃÛ¶¹ÊÓƵ Journey Optimizer is your key to unlocking personalized marketing at scale, powered by intelligent automation. At its core, Decisioning is a centralized solution for managing marketing offers—called decision items—and selecting the most relevant content for each individual. It combines powerful tools like decision policies and selection strategies to dynamically curate offers based on eligibility rules, ranking formulas, and AI-driven insights. Whether you’re configuring item catalogs, fine-tuning ranking methods, or setting up fallback options, each sub-section builds on the foundation of delivering tailored experiences. From managing decision items to creating strategies and measuring performance through analytics, Decisioning empowers marketers, developers, and analysts alike to create meaningful connections with their audiences. Imagine it as a smart assistant, constantly evaluating options to ensure your customers receive the right offer, at the right time, through the right channel.
Decisioning in ÃÛ¶¹ÊÓƵ Journey Optimizer
Introduction to Decisioning
Learn the purpose, key concepts, and steps to implement Decisioning for personalized marketing offers in ÃÛ¶¹ÊÓƵ Journey Optimizer.
Guardrails and Limitations
Understand the operational constraints and boundaries to ensure optimal usage of Decisioning.
Manage Decision Items
Configure and organize decision items into catalogs and collections for efficient workflows.
Configure Item Selection
Create decision rules, ranking methods, and leverage context data to optimize item selection.
Create Selection Strategies
Learn to build selection strategies with eligibility constraints and ranking methods like AI models.
Create Decision Policies
Define strategies, configure fallback options, and integrate decision policies into code-based campaigns.
Additional Resources
- API Reference for Code-Based Experience - Access implementation guidance for delivering offers via client-side, server-side, and hybrid APIs.
- Report on Decisioning - Monitor and analyze Decisioning performance using reports and Customer Journey Analytics dashboards.
- Decisioning Use Case: Content Experiment - Learn how to create and compare selection strategies using content experiments in a code-based experience.