**Day 7 Nurturing Analysis — Global Skills** • **High-value signal, weak cumulative evidence.** A callback request is an explicit buying signal—the lead is inviting direct contact. But one voluntary action on Day 7 only lifts the prediction to 19, still well below the 60 threshold. • **Why the AI holds in C Pool.** The model weights cumulative engagement history, not isolated spikes. Days 1–6 show baseline behavior only; the AI needs repeated high-value interactions (repeat visits, content depth, multi-stakeholder activity) before pool movement. This prevents premature sales time on unqualified demand. • **Triggered actions (C-pool rules).** Log the callback request, route to the success team with a 24–48h SLA, send a lightweight capability overview (not a full proposal), and set a follow-up task to confirm training scope and buying timeline. • **Path to the 100-unit inquiry.** Convert the callback into a discovery call; if they confirm enterprise scale, the AI should capture signals (multi-user interest, budget/timeline) that push score toward 60, triggering C→B upgrade and a formal B2B proposal. --- • **高价值信号，但累积证据不足。** 回电请求是明确的购买信号，但单日行为仅将预测分推至 19，远低于 60 的升级阈值。 • **为何仍留在 C 池。** 模型基于累积互动历史评估，而非单次峰值；前 6 天仅为基线行为，需重复高价值互动才能触发池升级，避免销售资源过早投入。 • **应触发的动作（C 池规则）。** 记录回电请求，24–48 小时内转交成功团队，发送轻量能力概览（非完整方案），并创建跟进任务确认培训范围与采购时间表。 • **通往 100 单元询盘的路径。** 将回电转化为需求挖掘通话；若确认企业级规模，AI 捕获多用户兴趣、预算与时间线等信号推动分数接近 60，触发 C→B 升级并输出正式 B2B 方案。