페더레이션된 대상자 컴포지션 fac

이 페이지에서: Adobe Journey Optimizer에서 Federated Audience Composition을 사용하여 Enterprise Data Warehouse를 쿼리하고 중요한 데이터를 복제하지 않고 Adobe Experience Platform 대상을 보강하는 방법에 대해 알아봅니다.

대상 구성 기능을 사용하여 타깃팅할 가치가 있고 고도로 정제된 대상을 만들 수 있지만, 엔터프라이즈 데이터 웨어하우스 및 신뢰할 수 있는 파트너의 데이터를 사용하여 대상을 보다 심층적으로 개인화할 수 있습니다.

Adobe Journey Optimizer에서 사용할 수 있는 Federated Audience Composition 기능은 데이터 웨어하우스에 데이터 또는 프로필을 쿼리할 수 있습니다
중요한 데이터를 웨어하우스에 남기고 데이터 중복을 피하면서 대상을 작성할 때 사용할 특성입니다. 여기에는 프로필 기반 데이터와 비프로필 데이터가 모두 포함될 수 있습니다. 예를 들어 빠른 서비스 레스토랑 그룹은 고객의 프로필을 보강할 수 있습니다
최근에 각 고객의 기본 레스토랑 위치를 사용하여 온라인으로 주문하여 레스토랑 그룹이 해당 기본 위치에서 사용할 수 있는 오퍼를 고객에게 보낼 수 있도록 했습니다.

  • 데이터 통합 - 엔터프라이즈 데이터 웨어하우스 및 파트너의 미리 만들어진 관련 대상과 데이터 세트를 단일 환경으로 쿼리하여 Adobe Experience Platform 사용 사례를 늘릴 수 있으므로 유연성과 효율성을 높입니다.
  • 향상된 마케팅 프로세스 - 간소화된 적응 워크플로를 통해 세분화, 타기팅 및 활성화 사용 사례에 대한 추가 지원을 잠금 해제합니다.
  • 효율적인 데이터 관리 - 데이터 복사를 최소화하고 신중하게 관리합니다.
    Adobe의 실시간 크로스 채널 사용 사례를 보완하는 데이터 사용 및 IT 투자 최적화

자세한 내용은 Federated Audience Composition에 대한 안내서를 참조하십시오.

비디오에서 Federated Audience 구성에 대해 자세히 알아보십시오.

AI Knowledge Reference

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.
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