1) **High-Value Behavior:** Repeatedly watching a product demo signals deep, active interest in a specific solution, not just general browsing. This intent-driven engagement is a strong predictor of purchase consideration. **高价值行为分析：** 重复观看产品演示视频，表明客户对特定解决方案有深入、主动的兴趣，而非一般性浏览。这种基于购买意图的互动是转化的重要前兆。 2) **Pool Upgrade Logic:** The lead's cumulative score (55) plus the high-value Day 7 activity pushed the predicted score (99) past the C→B upgrade threshold (60). This AI-driven move recognizes a lead transitioning from general awareness to active evaluation. **升级逻辑说明：** 该线索的累计分数（55）加上第7天的高价值行为，使其预测分数（99）超过了C→B的升级阈值（60）。此次AI驱动的升级，标志着线索已从一般认知阶段进入主动评估阶段。 3) **Triggered Actions:** The system should automatically generate a **personalized proposal** for the "Cultural Insights" training module and create a **high-priority sales task** for a consultative follow-up call within 48 hours to discuss specific needs and pilot options. **触发行动：** 系统应自动生成一份针对“文化洞察”培训模块的**个性化方案**，并创建一个**高优先级销售任务**，要求在48小时内进行顾问式跟进电话，以讨论具体需求和试点选项。 4) **Business Impact:** By identifying and escalating high-intent leads, sales can focus on qualified opportunities earlier. A timely, tailored proposal addressing the demonstrated interest directly supports converting this engagement into a concrete 100-unit distribution inquiry by aligning the offer with validated buyer intent. **商业影响：** 通过识别并升级高意向线索，销售团队能更早聚焦于合格商机。针对已验证的客户兴趣，及时提供定制化方案，能将此次互动直接转化为具体的100套分销询单，实现需求与方案的精准匹配。