**Day 7 Nurturing Readout — Global Skills** - **High-value signal, but early-stage:** Completing a post-video survey shows active engagement and self-qualification intent — a strong content-consumption signal, not yet a buying signal. 完成视频后问卷说明客户主动投入并自我筛选，属于高意向内容互动信号，但还不是采购信号。 - **Score trajectory is positive but below threshold:** 10 → 20 → 29 shows consistent acceleration; however, 29 < 60, so the AI correctly holds the lead in C Pool to protect sales capacity from premature handoffs. 分数从10到20再到29持续上升，但29仍低于60的升级线，因此AI将客户保留在C Pool，避免过早转交销售、浪费跟进资源。 - **Precise triggered actions (C-pool nurture, not proposal yet):** Send a personalized thank-you + insight summary tied to survey responses; deliver one targeted case study (e.g., enterprise rollout for 100+ learners); set an auto follow-up task in 3–5 days; alert sales only if score crosses 45–50 (warm watch). 触发动作应为：基于问卷内容发送个性化感谢与洞察摘要、推送一个匹配的百人级企业案例、3–5天后自动跟进任务，并在分数达45–50时向销售发出预警而非正式移交。 - **Path to the 100-unit inquiry:** Each high-value behavior compounds the score; the case study + survey-driven dialogue is designed to surface volume/scope needs, pushing the lead past 60 → C→B upgrade → proposal task created → distribution inquiry qualified. 每次高价值行为都会累积分数；案例与问卷对话用于挖掘采购规模，推动分数越过60触发C→B升级、生成提案任务，最终转化为百人级分销询盘。 - **Business impact:** This sequencing raises pipeline quality and conversion rate while keeping cost-per-qualified-lead low — the AI spends sales time only when intent is proven. 这种节奏提升商机质量与转化率，同时降低合格线索成本——AI只在意图被验证后才投入销售时间。