- **Day 7 behavior is high-intent, not high-volume.** A callback request from the success team signals active buying intent and a named human owner — that's a stronger signal than passive content views, but it's a single data point. - 第七天的行为体现的是明确购买意向，而非浏览热度。主动要求成功团队回电，说明客户已进入决策动作并指定了对接人，价值高于被动观看内容，但目前只是一个单点信号。 - **Score stays in C because 14 is far below the 60 threshold.** The AI weights cumulative behavioral depth (repeat views, video completion, multi-stakeholder engagement); one callback request lifts the score modestly (+4) but doesn't justify a pool upgrade. - 分数仍停留在 C 池，因为 14 分远低于 60 分的升级门槛。AI 看重的是累计行为深度（重复访问、视频完播、多角色参与），一次回电请求只带来小幅加分（+4），不足以触发升级。 - **Trigger a targeted, low-cost response — not a full sales cycle.** Route the callback to the success team within 24h, log the interaction, and send a light-touch needs-discovery agenda (not a formal proposal yet). - 触发低成本、精准的响应，而非完整销售流程。24 小时内将回电转交成功团队、记录互动，并发送轻量的需求挖掘议程（暂不发送正式方案）。 - **Hold the B2B proposal until score crosses into B.** Firing a full proposal at score 14 wastes sales capacity and risks premature pricing pressure; the system should queue a proposal template as a "ready-to-send" asset for when the threshold is met. - 在分数进入 B 池前暂缓发送 B2B 方案。14 分就发完整方案会浪费销售资源并过早引发价格压力；系统应预置方案模板，待达标后一键发送。 - **Path to the 100-unit distribution inquiry:** callback → discovery call → quantified training volume needs → B-pool upgrade → proposal + follow-up task → distribution-scale deal. Each step adds behavioral data that compounds the AI score toward the 60 threshold. - 通向 100 套分销询盘的路径：回电 → 需求访谈 → 量化培训规模 → 升级至 B 池 → 方案与跟进任务 → 分销级订单。每一步都积累行为数据，推动 AI 分数向 60 分门槛靠近。