**Day 7 Nurturing Read — C Pool, Score 33/60** - **Why it's high-value:** A completed post-video survey is active, self-declared intent — it reveals training priorities, team size, and buying context that passive views never expose. It's a qualification signal, not just engagement. - 中文：完成视频后问卷是主动表达意向的行为，能暴露培训需求、团队规模和采购背景，属于"资质信号"而非普通浏览。 - **Why still C Pool:** Score rose 30 → 33, but 33 is far below the 60 upgrade threshold. One survey adds only ~3 points; the model needs sustained, multi-touch evidence (repeat views, proposal opens, demo requests) before reclassifying. - 中文：分数从30升到33，但远低于60的升级线。单次问卷仅加约3分，AI需要持续的多触点证据才会升级。 - **Triggered actions (nurture, not sales handoff):** Send a tailored content follow-up (case study aligned to survey answers), a lightweight needs-discovery email, and schedule a low-friction check-in task. Hold the formal B2B proposal until score nears 60. - 中文：触发个性化内容跟进（按问卷答案推送案例）、轻量需求探询邮件、安排低压力回访任务；正式提案暂缓，待接近60分再发。 - **Path to a 100-unit inquiry:** Each completed survey + content click compounds score. At ~60 the system upgrades C→B and auto-triggers the proposal + sales follow-up task — converting a qualified, self-identified buyer into a 100-seat distribution conversation at the right moment. - 中文：每次问卷与内容点击持续累积分值。到60分系统自动C→B升级并触发提案与销售跟进，在正确时机把已自我识别的买家转化为100席分销洽谈。 - **Business impact:** Sales effort stays focused on higher-intent leads; the 100-unit inquiry is worked only when evidence justifies it — improving pipeline quality and rep efficiency. - 中文：销售精力集中在高意向线索上，100席询盘在有据可依时才投入跟进，从而提升管道质量与销售效率。