- **Day 7 behavior reads as high intent, not casual browsing.** Repeatedly watching the Cultural Insights Demo signals active evaluation of content relevance — a strong buying signal for a training vendor, not passive curiosity. 重复观看文化洞察演示，说明客户在主动评估方案是否契合需求，属于明确的购买信号，而非随意浏览。 - **Score rose but stayed below the C→B threshold (47 vs. 60).** The AI correctly credits the behavior (+3, 44→47) while withholding an upgrade — the interaction is deep but narrow; one content asset alone doesn't yet justify B-pool treatment. 分数因该行为上升（44→47），但仍未达升级线60。AI认可行为价值，但不升级——互动虽深却单一，尚不足以进入B池。 - **Trigger targeted, not premature, nurturing.** Actions: send a tailored Cultural Insights follow-up asset, log a sales task for a discovery call, and queue a B2B proposal draft — held until intent broadens (e.g., pricing page, multiple stakeholders, or a second demo topic). 触发精准而非过早的培育动作：推送定制化文化洞察延伸资料、创建销售跟进任务（需求挖掘电话）、预备B2B方案草稿——待意向扩展后再释放。 - **Path to upgrade is behavioral breadth.** Converting a 100-unit distribution inquiry requires signals of scale and decision-readiness; once additional behaviors push the score past 60, the C→B upgrade fires automatically and the proposal task activates. 升级路径在于行为广度。要推动100套分销询盘，需出现规模与决策就绪信号；分数越过60后自动升级至B池，方案任务随之触发。 - **Business outcome:** disciplined thresholding protects sales capacity while keeping a genuinely warm lead engaged — improving pipeline quality and conversion efficiency over premature handoffs. 业务结果：严守阈值既保护销售资源，又维持高潜客户热度，提升管道质量与转化效率，避免过早移交。