- **Day 7 behavior = strong intent signal, not enough scale.** Repeatedly watching the Cultural Insights Demo shows active interest and content resonance, but one high-value action only lifts the score from 0 → 3. - 第7天的行为是“高意向信号”，但体量不足以升级：反复观看文化洞察Demo说明客户有兴趣、内容有共鸣，但单次高价值行为只把分数从0推到3。 - **AI keeps lead in C Pool because score quality ≠ score volume.** The C→B threshold is 60, and 3 is far below it; without multi-touch breadth, frequency, or progression (demo → pricing → proposal request), upgrade is premature. - AI仍放在C池，是因为“分数质量”不等于“分数体量”：C→B门槛是60，3分差距很大；缺少多触点、频次或更深漏斗行为（Demo→报价→方案请求），升级为时过早。 - **Trigger lightweight, low-risk nurture — not sales escalation.** Automate: mobile-friendly case snippets, localized training ROI one-pager, invite to a short Cultural Insights Q&A, and a soft CTA to share team size/regions. - 触发轻量、低风险的培育动作，而不是销售升级：自动推送移动端案例摘要、本地化培训ROI单页、邀请参加简短文化洞察Q&A，并软性引导填写团队规模和区域。 - **Prepare sales only when next thresholds are crossed.** If score hits ~60 (e.g., repeat demo + pricing page + email click + webinar signup), then trigger B-pool tasks: B2B proposal draft, sales follow-up, account research, and a distribution/volume discovery call. - 只有在跨过下一阈值时才准备销售介入：若分数达到约60（如重复观看Demo+访问报价页+邮件点击+报名直播），再触发B池任务：B2B方案草稿、销售跟进、客户研究、以及分销/批量需求挖掘电话。 - **Path to a 100-unit distribution inquiry.** The current action builds the evidence base for scale: engagement data + cultural-fit interest → targeted proposal framing (multi-region rollout, train-the-trainer, volume licensing) → sales call focused on distribution economics and pilot-to-100-unit conversion. - 通向100套分销询盘的路径：当前动作在为规模化建立证据链——互动数据+文化适配兴趣→定制方案叙事（多区域推广、培训师培训、批量授权）→销售电话聚焦分销经济性与“试点转100套”的转化路径。