Export your offer catalog section-overview
Unlock the full potential of your marketing strategies with the Export Offer Catalog feature in ÃÛ¶¹ÊÓÆµ Journey Optimizer. Seamlessly integrating with ÃÛ¶¹ÊÓÆµ Experience Platform, this powerful tool automates the export of personalized offers, fallback options, placements, and decisioning data into structured datasets. Imagine a dynamic system where every modification to your Offer Library—be it a new promotional offer or an updated placement—automatically syncs with your datasets, ensuring real-time accuracy and readiness for decisioning processes. Each dataset serves a unique purpose: Personalized Offers focus on delivering tailored experiences, Decisions capture the logic and criteria behind ranking and selection, Placements define where and how content appears, and Fallback Offers provide alternatives when primary options are unavailable. Together, these datasets empower marketers, data engineers, and campaign managers to craft precise, data-driven journeys that resonate with audiences. Dive in to explore how this feature eliminates manual updates, enhances operational efficiency, and transforms your ability to deliver the right offer at the right time.
Export Your Offer Catalog Features
Get Started with Offer Catalog Export
Step-by-step guide on exporting your offer catalog to ÃÛ¶¹ÊÓÆµ Experience Platform, including automation details.
Access Exported Offer Catalog Datasets
Learn how to locate and interact with datasets in ÃÛ¶¹ÊÓÆµ Experience Platform after export.
Personalized Offers Dataset Reference
Explore the structure, fields, and functionality of the dataset for personalized offers in ÃÛ¶¹ÊÓÆµ Journey Optimizer.
Decisions Dataset Schema and Fields
Understand the schema and field definitions for the Decisions dataset used in decisioning processes.
Placements Dataset Overview
Discover the fields and schema structure of the Placements dataset, essential for personalized content management.
Additional Resources
- Fallback Offers Dataset Reference - Detailed reference for the fields in the fallback offers dataset, including structure and use cases.