이 페이지에서: Adobe Intelligent Services 및 Customer AI 예측을 Journey Optimizer과 통합하여 결정, 작업 및 세그먼트 작성을 위한 프로필 특성으로 이탈 및 전환 점수를 사용하는 방법에 대해 알아봅니다.
Adobe Intelligent Services과의 통합을 통해 고객 경험 사용 사례에 인공 지능과 머신 러닝을 활용할 수 있습니다. 이를 통해 마케팅 분석가는 데이터 과학 전문 지식 없이도 비즈니스 수준의 구성을 사용하여 기업의 요구 사항에 맞게 예측을 설정할 수 있습니다.
Adobe Experience Platform에 빌드된 Intelligent Services은(는) 고객 경험 팀에 AI-as-a-service를 제공합니다. 이는 고객 행동을 예측하고, 캠페인 영향을 측정하고, 투자 수익을 개선하는 데 도움이 됩니다. 자세한 내용은 Adobe Experience Platform 설명서를 참조하세요.
Journey Optimizer과(와) Intelligent Services 간의 통합을 통해 고객 예측을 활용할 수 있습니다.
Adobe Intelligent Services의 구성 요소인 Customer AI는 고객의 행동을 예측합니다. Adobe Experience Platform 설명서를 참조하세요.
고객 AI를 통해 브랜드는 이탈 또는 전환 머신 러닝 기반 점수를 만들 수 있습니다. 이러한 점수는 Adobe Experience Platform개 프로필(실시간 고객 프로필)에서 프로필 특성으로 사용할 수 있습니다.
따라서 이러한 속성은 Journey Optimizer의 다른 프로필 속성과 마찬가지로 사용할 수 있습니다. 의사 결정, 작업 또는 세그먼트 작성 조건에 사용할 수 있습니다.
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- TL;DR: This page explains how Journey Optimizer integrates with Adobe Intelligent Services — specifically Customer AI — to leverage machine learning-based propensity scores as profile attributes in journeys.
Intents:
- Understand how Adobe Intelligent Services integrates with Journey Optimizer
- Use Customer AI propensity scores as profile attributes in journey conditions or actions
- Enable AI-driven predictions for churn or conversion without requiring data science expertise
- Apply machine learning scores to segment building within Journey Optimizer
Glossary:
- Adobe Intelligent Services: A suite of AI/ML services built on Adobe Experience Platform that enables customer experience predictions without requiring data science expertise (product-specific)
- Customer AI: A component of Adobe Intelligent Services that generates machine learning-based churn or conversion propensity scores for customer profiles (product-specific)
- Propensity score: A machine learning-based score representing the likelihood of a customer performing a specific action (e.g., churn or conversion), stored as a profile attribute (product-specific)
Guardrails:
- No data science expertise is required, but business-level configuration must be completed by marketing analysts
- Customer AI scores must first be configured in Adobe Experience Platform before they are available as profile attributes in Journey Optimizer
Terminology:
- Canonical name: Adobe Intelligent Services — Acronym: none — variants: Intelligent Services, AI services
- Canonical name: Customer AI — Acronym: none — variants: Customer AI scores, propensity scores
- Synonyms: “churn score” = “churn propensity” ; “conversion score” = “conversion propensity”
- Do not confuse: “Adobe Intelligent Services” ≠ “AI Assistant” (Intelligent Services is a predictive ML platform; AI Assistant is a conversational interface)
FAQ:
- Q: What is Customer AI in the context of Journey Optimizer? — Customer AI is an Adobe Intelligent Services component that creates machine learning-based churn or conversion scores, which become available as profile attributes usable in Journey Optimizer conditions, actions, and segment building.
- Q: Do I need data science skills to use Adobe Intelligent Services? — No, marketing analysts can configure predictions using business-level settings without requiring data science expertise.
- Q: Where are Customer AI scores stored? — They are stored as profile attributes in Adobe Experience Platform’s Real-time Customer Profile, making them accessible like any other profile attribute in Journey Optimizer.
- Q: How can I use Customer AI scores in a journey? — Once available as profile attributes, the scores can be used in conditions for decisioning, in action configurations, or for building audience segments.