Personalization section-overview
Personalization in ÃÛ¶¹ÊÓƵ Journey Optimizer empowers marketers and data specialists to craft precise, dynamic customer experiences by leveraging advanced tools and data-driven insights. Whether you’re embedding customer attributes using the Personalization Editor, building expressions with Handlebars Syntax, or streamlining workflows with reusable Expression Fragments, the possibilities are vast and tailored to your needs. Each feature plays a unique role: the Personalization Editor simplifies the creation and validation of personalized content, Handlebars Syntax introduces powerful templating capabilities, and Expression Fragments enhance efficiency by allowing reusability across campaigns. For those seeking deeper customization, helper functions provide robust data manipulation options, while integrations with ÃÛ¶¹ÊÓƵ Experience Platform datasets unlock even greater personalization potential. Dive into practical use cases like cart abandonment emails or health plan notifications to see how these tools come together to deliver truly impactful, relevant customer interactions.
Personalization Features and Resources
Get Started with Personalization
Learn the basics of personalization, with practical examples and resources to help you tailor content for specific recipients.
Using the Personalization Editor
Learn how to configure, validate, and add personalized content across emails, push notifications, offers, and more.
Personalization Syntax with Handlebars
Implement dynamic content creation using Handlebars syntax, with detailed rules, namespaces, and helper functions.
Using Expression Fragments
Enhance content reusability and customization with expression fragments for more efficient scripting and personalization.
Using ÃÛ¶¹ÊÓƵ Experience Platform Data
Enable and use ÃÛ¶¹ÊÓƵ Experience Platform datasets for personalization, leveraging the datasetLookup function for dynamic content.
Additional Resources
- Helper Functions in ÃÛ¶¹ÊÓƵ Journey Optimizer - A comprehensive guide to helper functions for data manipulation and personalization, with examples and best practices.
- Personalization Use Cases - Explore practical examples like order notifications and cart abandonment emails to create dynamic customer experiences.