Decisioning section-overview
Decisioning in ÃÛ¶¹ÊÓƵ Journey Optimizer is your gateway to delivering hyper-personalized marketing experiences at scale. By dynamically selecting the most relevant offers for each customer, Decisioning combines the power of rules, AI-driven insights, and ranking methods to ensure every interaction feels tailored and impactful. At its core are decision items—dynamic offers housed in a centralized catalog—brought to life through eligibility rules, which determine audience suitability, and ranking methods, which prioritize offers based on business goals or AI models. Dive deeper into managing decision items, crafting precise rules, and optimizing rankings to refine your personalization strategy, while leveraging ÃÛ¶¹ÊÓƵ Experience Platform data to power smarter decisions. Whether you’re a marketer fine-tuning campaigns or a technologist integrating APIs, Decisioning equips you to orchestrate meaningful customer journeys with precision and creativity.
Decisioning Features
Get Started with Decisioning
Step-by-step tutorial on setting up and using Decisioning to personalize marketing campaigns with decision items, rules, and strategies.
Decisioning Guardrails & Limitations
Understand constraints on decision requests, item collections, policies, and ranking methods to optimize Decisioning usage.
API Reference for Decisioning
Technical guidance for implementing decisioning and offer delivery using Code-Based Experience channels in ÃÛ¶¹ÊÓƵ Journey Optimizer.
Manage Decision Items
Learn how to configure and organize decision items into collections to enable real-time personalized marketing strategies.
Create Decision Rules
Create and configure decision rules for audience targeting and precise control over item presentation in campaigns.
Additional Resources
- Create Rankings - Optimize offer prioritization with ranking methods using formulas, AI models, and the AI formula builder.
- Use ÃÛ¶¹ÊÓƵ Experience Platform Data - Leverage ÃÛ¶¹ÊÓƵ Experience Platform data to create decision rules, ranking formulas, and monitor decisioning performance.