**Lead Nurturing Analysis – Day 7 Scenario** - **High-value signal: repeated Cultural Insights Demo views → intent stacking.** Repeated watch = active evaluation of content relevance, not passive browsing. It signals engagement depth, a leading indicator of solution fit and potential stakeholder interest. **中文：** 反复观看文化洞察 Demo 是高意图信号，说明客户在主动评估方案契合度，而非随便浏览。这是成交潜力的领先指标。 - **AI keeps lead in C Pool: score 49 < 60 threshold.** Accumulated engagement is real but still below upgrade bar. The model is protecting pipeline quality — C pool retains “warming but unqualified” leads until sustained behavior justifies B-level sales effort. **中文：** 目前得分 49，未达 C→B 的 60 分阈值。AI 在控制销售资源投放，避免过早升级导致跟进浪费，先让客户持续“升温”。 - **Triggered action: personalized content + sales alert, no proposal yet.** System should auto-send relevant case study (cultural training ROI), log a sales task for a soft check-in, and set a re-scoring trigger on next demo view or asset download. **中文：** 应触发个性化内容推送（如文化培训 ROI 案例），生成销售的软性跟进任务，并设置下次观看或下载后的重新评分触发。 - **Path to 100-unit distribution inquiry: nurture to B Pool, then enable sales.** One more meaningful behavior (proposal request, pricing query, stakeholder intro) pushes score past 60 → B upgrade → proposal + sales follow-up → deal sizing conversation around 100-unit distribution. **中文：** 再出现一次高价值行为（如询价、要方案、引荐决策人），分数即可突破 60 升级 B 池，系统自动生成提案与跟进，推动 100 套分销询盘落地。 - **Business outcome: higher conversion efficiency, protected sales capacity.** Holding in C prevents premature proposal spend, while behavior-based triggers ensure the lead is not lost — improving pipeline quality and conversion rate. **中文：** 留在 C 池可避免过早投入方案成本，同时通过行为触发避免客户流失，从而提升管道质量和转化效率。