使用AI ai-features

• 檢視歷程 — 直接在AI助理中檢視歷程的深入分析
• 管理歷程 — 直接在AI助理中建立新的歷程
• 檢視區段 — 檢視對象的深入分析並搜尋現有對象
• 管理區段 — 直接在AI Assistant中建立新對象
• 檢視歷程事件、資料來源和動作 — 建立技能以搜尋歷程事件和自訂動作所需

• 歷程流失分析 — 識別客戶在歷程中流失的位置及原因，偵測脫離模式
• 對象重疊偵測 — 分析多個歷程中的對象重疊，以防止疲勞過度鎖定目標
• 排程衝突偵測 — 識別以相同對象為目標的排程歷程之間的時間衝突
• 營運分析 — 取得提示型分析，例如「顯示所有即時歷程」或「超過X個歷程中使用了哪些對象」

• 「對歷程[歷程名稱]執行流失分析」
• 「歷程[歷程名稱]是否有任何排程衝突？」
• 「顯示歷程[歷程名稱]的對象重疊衝突」
• 「哪些對象用於超過5個歷程？」

• 自然語言歷程建立 — 描述您想要的歷程並自動建立
• 以事件和受眾為基礎的開始 — 建立事件觸發、以受眾為基礎、業務事件或受眾資格歷程
• 條件邏輯 — 根據客戶屬性或行為建置分割路徑
• 多頻道傳訊 — 新增電子郵件、推播和簡訊動作
• 排程 — 設定開始日期與步驟之間的時間

• 「建立歷程，從客戶線上購買並傳送感謝推播通知時開始。」
• 「使用兩星期內的三封電子郵件，從12/20開始建立以我日間徒步旅行者受眾為目標的歷程。」
• 「建立歷程，此歷程從使用者進入我的商店位置開始，並根據他們是否有有效的電子郵件地址進行追蹤。」

• 效能分析 — 清楚瞭解實驗中所發生的情況
• 深入分析產生 — 結果發生的說明
• 機會探索 — 後續動作指南
• 內容分析 — 檢查傳訊元素，瞭解某些處理優於其他處理方式的原因
• 建議產生 — 根據見解建議新的處理或調整

• 「哪些實驗是為了[行銷活動名稱]？」
• 「對於我的[實驗名稱]，目前採用何種處理方法？」
• 「我們從[實驗名稱]中學到了什麼？」
• 「您建議我在完成此實驗後做什麼？」
• 「最近的測試出現了哪些常見模式？」

• 檢視實驗 — 檢視AI Assistant中的實驗深入分析
• 管理實驗中繼資料 — 在AI助理中建立新的實驗

注意：​可使用Journey Optimizer Experimentation Accelerator授權。

Adobe Journey Optimizer可以自動分析決策規則和以PQL語法表示的排名公式，並建議保留原始邏輯的簡化。 發現簡化後，規則或公式旁邊會出現紅色的​ Optimize ​指標，開啟原始和AI建議運算式的並排比較，並透過可下載的分析來驗證兩者行為相同。

主要功能

• 保留邏輯的簡化 - AI會建議較短的運算式，在模擬的設定檔上傳回相同的結果。
• 驗證報告 — 下載分析(TSV)，在套用變更之前，顯示每個模擬設定檔在兩個版本中的評估方式。
• 一鍵套用 — 直接從​ 最佳化 ​視窗，以最佳化版本取代原始的PQL。

資格

只有PQL運算式大於​2 KB （UTF-8編碼）的規則和排名公式才會被鎖定進行分析，不會分析較小的運算式。

權限

此功能使用與​ 產生內容 ​相同的產生AI存取控制項。 必須授予使用者在​ AI小幫手 ​資源上的​ 產生內容 ​許可權。 深入瞭解產生內容存取權

最佳化決策規則 | 最佳化排名公式

Experiment Accelerator​可協助您使用AI導向的深入分析和建議更快速地執行實驗，更快速地識別成功內容變化。

主要功能：

• 自動產生多個內容變數
• 接收實驗設計的人工智慧建議
• 取得績效趨勢的早期指標
• 加速統計顯著性時間

深入瞭解Experiment Accelerator

根據個別客戶行為模式，使用人工智慧來預測傳送每則訊息的最佳時間，最大化參與度。

運作方式

傳送時間最佳化會分析歷史參與資料（開啟和點按），以預測每個客戶何時最有可能與您的訊息互動。 系統會在您指定的時間範圍內自動排程交貨。

何時使用

深入了解傳送時間最佳化

使用AI支援的轉換技術，將靜態影像設計(JPEG、PNG)轉換為可編輯的HTML電子郵件範本。

進一步瞭解影像至HTML

與Adobe GenStudio for Performance Marketing整合以建立AI支援的電子郵件內容，並將範本匯入Journey Optimizer以進行協調。 將Journey Optimizer範本匯出至GenStudio、使用AI產生變數，並帶回以進行部署。 （可用性限制，僅限電子郵件通道。）

進一步瞭解GenStudio

使用AI支援的評分，測量語調、聲音和訊息的一致性，評估內容與品牌指引的符合程度。

進一步瞭解品牌一致性

用於決策的AI模型 ai-decisioning

建立智慧型排名模型，依轉換率（轉換÷曝光數）將優惠排名，自動顯示每位客戶最可能轉換的優惠。

模型型別

• 自動最佳化 — 學習您優惠方案的整體、非個人化效能，以隨著時間自動改善轉換。 由於模型大約每6小時會重新訓練一次，因此在選件經常變更時非常適合。
• 個人化最佳化 — 使用客戶設定檔屬性、行為和對象成員資格，來預測每個人的最佳優惠方案。 當您需要每個客戶的不同排名（而不是一個整體獲勝者）時，請選擇此選項。

需求

最低資料需求依模型型別而異：

• 自動最佳化 — 過去14天內至少有2個選件包含100個以上的顯示事件和5個以上的點按事件。 低於此臨界值的選件會視為新選件，且僅透過探索流量提供。
• 個人化最佳化 — 使用滾動式30天視窗。 Adobe建議每週每個選件至少1,000次曝光和100個轉換事件；根據預設，曝光次數少於1,000次或轉換次數少於50次的選件，將不會獲得為其訓練的模型。 最多可以選取5個對象來訓練單一模型。

進一步瞭解用於決策的AI模型 | 建立AI排名模型

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 is an overview of the AI and machine learning features across Journey Optimizer, including CX Coworker, AI Assistant, AI agents, AI-powered content generation, integrations and tools, Send-Time Optimization, AI decisioning, and content experimentation.

Intents:

• Understand what CX Coworker is, how it relates to AI Assistant, and which skills it provides for journeys, loyalty, and content management
• Understand what AI Assistant can do and how to access it
• Learn which AI agents are available and what permissions each requires
• Generate content and message variations with AI across supported channels
• Predict the best send time per customer with Send-Time Optimization
• Rank and personalize offers with AI decisioning models
• Optimize Decisioning rules and ranking formulas with AI-suggested simplifications

Glossary:

• CX Coworker: Adobe’s conversational experience that integrates with business applications, automating customer experience and marketing workflows across Adobe applications; you describe a business goal in natural language and Coworker plans, executes, and validates the work (product-specific)
• Journey Create (CX Coworker skill): A CX Coworker skill for journeys that builds journeys with natural language prompts (product-specific)
• Channel Content Create (CX Coworker skill): A CX Coworker skill for journeys that generates channel-specific message copy and designs (product-specific)
• Journey Analyze (CX Coworker skill): A CX Coworker skill for journeys that diagnoses journey drop-offs, scheduling overlaps, and execution anomalies (product-specific)
• Loyalty Challenge Management (CX Coworker skill): A CX Coworker skill for loyalty that creates and configures loyalty challenges (product-specific)
• Loyalty Insights (CX Coworker skill): A CX Coworker skill for loyalty that queries loyalty points, tier distributions, and revenue metrics (product-specific)
• AI Assistant: The conversational guide to Journey Optimizer that answers product-knowledge questions and, in Beta, surfaces operational insights about journeys (product-specific)
• Journey Agent: An AI agent offering two skills in AI Assistant, Analyze and Create, for optimizing or building journeys from natural language (product-specific)
• Experimentation Agent: An AI agent that analyzes and manages digital experiments across websites, emails, push messages, and applications (product-specific)
• Generate Content: AI-powered content generation for subject lines, body text, images, and message variations (product-specific)
• Auto-optimization: A ranking model type that learns from overall, non-personalized offer performance and retrains roughly every 6 hours (product-specific)
• Personalized optimization: A ranking model type that uses customer profile attributes, behavior, and audience membership to predict the best offer per individual (product-specific)
• Send-Time Optimization: An AI capability that predicts the optimal send time per customer from historical engagement data (product-specific)
• Journey Optimizer MCP server: A capability that connects Journey Optimizer to MCP-compatible AI applications for plain-language queries; all operations are currently read-only (product-specific)

Guardrails:

• Content Management (CX Coworker) is powered by 15 read/write MCP tools.
• AI Assistant requires agreement to the Adobe Experience Cloud Generative AI User Guidelines before use.
• Operational Insights are in Beta, are currently only available for Journeys, and reflect data from your current sandbox.
• Send-Time Optimization is only available for Email and Push actions in journeys; your organization needs at least 30 days of history using those actions before enabling it.
• AI Content Generation is only available for the Email, Push, Web, and SMS channels.
• Brand asset uploads support PDFs, images, or ZIP files (max 50 MB) (hard limit).
• Custom templates support up to 8-10 images.
• Auto-optimization requires at least 2 offers with 100+ display events and 5+ click events each within the last 14 days; offers below this threshold are treated as new and only served through exploration traffic.
• Personalized optimization uses a rolling 30-day window; Adobe recommends at least 1,000 impressions and 100 conversion events per offer per week (recommended); by default, offers with fewer than 1,000 impressions or 50 conversions do not get a model trained for them.
• Up to 5 audiences can be selected to train a single personalized optimization model.
• AI-powered rule and formula optimization analyzes only rules and ranking formulas whose PQL expression is larger than 2 KB (UTF-8 encoded); smaller expressions are not analyzed.
• AI-powered rule and formula optimization requires the Generate Content permission on the AI Assistant resource.
• The Journey Optimizer MCP server currently supports read-only operations only.
• GenStudio for performance marketing integration is in Limited availability and email channel only.
• The Experimentation Agent is available with the Journey Optimizer Experimentation Accelerator license and requires View Experiments and Manage Experiment Metadata permissions.

Terminology:

• Canonical name: Send-Time Optimization — Acronym: n/a — variants: send-time optimization
• Synonyms: “Generate Content” = “AI content generation”
• Do not confuse: “Auto-optimization” (learns from overall, non-personalized performance) ≠ “Personalized optimization” (predicts the best offer per individual)
• Do not confuse: “Journey Analyze skill” (optimize existing journeys) ≠ “Journey Create skill” (build new journeys from prompts)
• Do not confuse: “AI Assistant” (conversational guide) ≠ “AI Agents” (specialized agents for deep analysis and recommendations)
• Do not confuse: “Journey Analyze skill” and “Journey Create skill” (AI Assistant’s Journey Agent skills) ≠ “Journey Analyze (CX Coworker skill)” and “Journey Create (CX Coworker skill)” — the page names these separately: the Journey Agent skills operate within AI Assistant, while Journey Analyze and Journey Create are CX Coworker skills for the Journeys capability.
• Do not confuse: “CX Coworker” (Adobe’s evolution of AI Assistant, described in the CX Coworker section) ≠ “AI Assistant” (the conversational guide it is succeeding)

FAQ:

• Q: How does CX Coworker relate to AI Assistant? — CX Coworker is Adobe’s evolution of the AI Assistant conversational experience; organizations are being transitioned from AI Assistant to CX Coworker on a rolling basis, and some organizations may retain access to AI Assistant until they are enabled for CX Coworker.
• Q: What permissions do I need for AI features? — Generate Content requires the Generate Content permission; AI Assistant product knowledge requires agreement to the Adobe Generative AI User Guidelines; each agent requires its listed View/Manage permissions.
• Q: Is AI-generated content always accurate? — No; always review AI-generated content for accuracy and brand appropriateness, and use the thumbs up/down feedback tools.
• Q: Which channels support AI Content Generation? — Only the Email, Push, Web, and SMS channels.
• Q: What are the requirements for AI ranking models? — They differ by model type; Auto-optimization and Personalized optimization have distinct minimum interaction-data thresholds described in Requirements.
• Q: How do I get access to these features? — Most AI features are included with Journey Optimizer; some capabilities such as Send-Time Optimization or AI Agents may require enablement by Adobe, so contact your Adobe representative.