What you will learn / 學習目標
動態意圖識別
Transition from demographics to real-time intent-based profiling.
非結構化數據挖掘
Extract "Digital Fingerprints" from social media and CRM logs.
合成受眾模擬
Test strategies using AI-driven Synthetic Users (Digital Twins).
預測性 LTV 建模
Forecast Customer Lifetime Value and prevent churn with AI.
Target Audience / 課程受眾
👤
CRM Managers
需提升客戶標籤精準度與自動化分群效率的主管。
🔬
Data Analysts
希望利用 AI 從非結構化對話中提取商業意圖的分析師。
📈
Growth Leads
需在投入大規模預算前進行受眾反應模擬的增長負責人。
Professional Skills / 核心技能
Intent Analysis
Synthetic Personas
Behavioral Modeling
Predictive Analytics
Semantic Intelligence
Curriculum / 課程大綱
01
畫像的範式轉移：從統計到意圖 / Paradigm Shift
Capturing real-time psychological states beyond basic demographics.
02
合成受眾 (Synthetic Users)：數位孿生測試
Simulating thousands of virtual personas to predict market reactions to new campaigns.
03
下一步最佳行動 (NBA)：畫像的實戰應用
Implementing real-time recommendation engines based on integrated CRM data.
04
數據倫理、隱私合規與偏見預防 / Governance
Adhering to GDPR while leveraging differential privacy in profiling models.
Recommended Path / 延伸學習路徑
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