在此頁面上:瞭解如何在Adobe Journey Optimizer中使用同盟對象構成,以查詢您的企業資料倉儲並擴充Adobe Experience Platform對象,而不需要複製敏感資料。
雖然您可以使用對象構成功能來建立有價值、高度精細的對象以用於目標定位,但您可以進一步豐富對象,以使用來自企業資料倉儲和信任合作夥伴的資料進行更深入的個人化。
Adobe Journey Optimizer中可用的同盟對象構成功能可查詢資料倉儲中的資料或設定檔
用於構成對象的屬性,將敏感資料留在倉儲中並避免資料重複。 這可以包括設定檔資料和非設定檔資料。 例如,快速服務餐廳群組可豐富客戶設定檔
最近透過每位客戶偏好的餐廳位置線上下訂單,讓餐廳群組傳送客戶可在這些偏好的位置使用的優惠方案。
- 資料整合 — 透過從您的企業資料倉儲和合作夥伴查詢相關的預先建立對象和資料集的能力,在單一環境中增強彈性和效率,以擴大Adobe Experience Platform的使用案例。
- 增強的行銷流程 — 透過簡化且可調整的工作流程,解鎖對細分、目標定位和啟動使用案例的額外支援。
- 有效率的資料管理 — 將資料複製最小化,控管機密資料
使用資料,並最佳化IT投資,以補充Adobe上的即時跨管道使用案例
如需詳細資訊,請閱讀同盟對象構成的指南。
進一步瞭解影片中的同盟對象構成:
This section contains structured knowledge intended to support interpretation, retrieval, and question answering related to this topic.
For complete understanding, this information should be combined with the documentation on this page. Neither source is intended to stand alone; the page describes the feature, while this section provides additional context that helps disambiguate terminology, intent, applicability, and constraints.
- TL;DR: This page explains how Federated Audience Composition in Journey Optimizer queries an enterprise data warehouse to build and enrich Adobe Experience Platform audiences without duplicating sensitive data.
Intents:
- Query a data warehouse for data or profile attributes to use in composing audiences
- Enrich Adobe Experience Platform audiences for deeper personalization using enterprise data warehouse and trusted partner data
- Compose audiences from both profile-based and non-profile data while leaving sensitive data in the warehouse
- Use an audience created through Federated Audience Composition (a federated audience) in a journey or a campaign
Glossary:
- Federated Audience Composition: A Journey Optimizer capability that queries a data warehouse for data or profile attributes to compose audiences, leaving sensitive data in the warehouse and avoiding data duplication; using it requires the Federated Audience Composition add-on (product-specific)
- Federated audience: An audience created using Federated Audience Composition (federated data), in which audiences are queried and composed from external data warehouses without copying data into Adobe Experience Platform; it can be selected in journeys and campaigns (product-specific)
Guardrails:
- Federated Audience Composition leaves sensitive data in the warehouse and avoids data duplication.
- Using Federated Audience Composition audiences requires the Federated Audience Composition add-on.
- The performance of a federated audience depends on the query capabilities of the external data warehouse.
- You can select a federated audience in campaigns and journeys.
- In journeys, a federated audience is supported in Read Audience and Condition activities. It is not supported in Audience Qualification activities, because of the batch nature of these audiences; only audiences created using segment definitions can be used in an Audience Qualification activity.
- A federated audience is a static composition, updated when the federated audience composition is executed: its members stay the same until the next execution.
- The identity namespace of the audience must match the journey namespace.
- Preview and proof are currently not supported for audiences created using Federated Audience Composition.
- Incremental read is not functionally supported for Federated Audience Composition audiences: on each recurrence of a Read Audience activity, the entire audience is processed, regardless of the Incremental read toggle.
Terminology:
- Canonical name: Federated Audience Composition — Acronym: FAC — variants: Federated Audience Composition add-on
- Canonical name: Federated audience — variants: Federated Data Audience, FAC audience
- Do not confuse: “Federated Audience Composition” (FAC; the capability that queries the data warehouse and composes audiences) ≠ “federated audience” (an audience created using that capability, which you select in a journey or campaign)
FAQ:
- Q: What does Federated Audience Composition do? — It queries a data warehouse for data or profile attributes to use in composing audiences, leaving sensitive data in the warehouse and avoiding data duplication.
- Q: What kinds of data can it use? — Both profile-based data and non-profile data.
- Q: How does it help with sensitive data? — It leaves sensitive data in the warehouse and avoids data duplication.
- Q: What is the difference between Federated Audience Composition and a federated audience? — Federated Audience Composition (FAC) is the capability that queries the data warehouse and composes audiences. A federated audience is an audience created using it, which you can then select in a journey or campaign.
- Q: Where can I use a federated audience in a journey? — In Read Audience and Condition activities. It cannot be used in an Audience Qualification activity.
- Q: When is a federated audience updated? — It is a static composition that is updated when the federated audience composition is executed, so its members stay the same until the next execution.
- Q: Can I use enrichment attributes from a federated audience? — Yes. When targeting an audience created using Federated Audience Composition, you can use its enrichment attributes to build your journey and personalize your messages.
Examples:
- A quick-service restaurant group enriches the profiles of customers that recently placed orders online with each customer’s preferred restaurant location, and sends them offers that can be used at those preferred locations.
- Federated audiences are best for enterprise data warehouse integration, audience composition using external data sources, and scenarios requiring data to remain in external systems.