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Export your offer catalog section-overview

Unlock the full potential of your personalized marketing strategies with the Export Offer Catalog feature in ÃÛ¶¹ÊÓÆµ Journey Optimizer. This powerful functionality seamlessly bridges the gap between your meticulously crafted Offer Library and ÃÛ¶¹ÊÓÆµ Experience Platform, enabling automated and dynamic updates whenever offers, placements, or fallback options are modified. Think of it as a conveyor belt delivering real-time data to fuel your decision-making processes. Dive deeper to discover how different datasets—covering personalized offers, decisions, placements, and fallback options—work together to provide a comprehensive view of your campaigns. Whether you’re analyzing ranking strategies, validating placements, or ensuring fallback options are ready for seamless delivery, this feature equips data engineers and users alike with the tools to create meaningful, data-driven customer experiences.

Export Your Offer Catalog

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Getting Started with Offer Catalog Export

Learn how to export your offer catalog to ÃÛ¶¹ÊÓÆµ Experience Platform, including details on automated jobs and datasets.

Get started with offer catalog export

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How to Access the Exported Offer Catalog

Find and interact with the exported offer catalog in ÃÛ¶¹ÊÓÆµ Experience Platform’s Datasets menu.

Access the exported offer catalog

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Understanding the Personalized Offers Dataset

Explore the structure, fields, and constraints of the autogenerated dataset for personalized offers.

Learn about the personalized offers dataset

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Decisions Dataset - Schema and Fields

Review the schema and fields of the Decisions dataset, including criteria, ranking, and fallback options.

Explore the Decisions dataset

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Placements Dataset Schema Reference

Understand the autogenerated Placements dataset, including field descriptions and use cases.

Learn about the Placements dataset

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Fallback Offers Dataset Overview

Get a detailed look at the schema and fields for fallback offers in ÃÛ¶¹ÊÓÆµ Journey Optimizer.

Explore the fallback offers dataset

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