Behavior Insight - Day 7
AI Scoring in Action
High-value Behavior
Behavior
Day 7 High-Value Behavior: Repeatedly watched Cultural Insights Demo
Engagement Level
High
Repeated views indicate strong intent
Pool Status
C
Currently in C Pool
AI Score Growth Animation (12 → 43)
B Pool Threshold: 60
Day 1
12
Day 3
32
Day 7 (Actual)
43
Upgrade Status
Below Threshold
Customer is currently in C Pool.
📊
Real-time Score Statistics
Today's Total Score
0
All behaviors combined
Event Type Score Details
No behavior records today
📋
Detailed Scoring Rules
▼
Base Score Rules
View Document
View product documentation
+10 分
Watch Video
Watch video (min 5s)
+30 分
Repeat Watch
Repeat watch video
+30 分
Contact Support
Contact support/request callback
+5 分
Translation Feature
Click translation feature card
+15 分
Culture Insight
Click culture insight feature card
+15 分
Health Monitoring
Click health monitoring feature card
+10 分
Remote Assistance
Click remote assistance feature card
+15 分
Industry Selection
Select industry solution
+8 分
Meeting Scenario
Answer meeting scenario (wrong answer: 50%)
+12 分
Card Etiquette
Answer card etiquette scenario (wrong answer: 50%)
+12 分
Survey Complete
Complete post-video survey
+20 分
Expo Form
Submit expo H5 registration form
+25 分
Same-day Decay Rules
第1次
100%
(30 pts)
第2次
67%
(20 pts)
第3次
33%
(10 pts)
第4次
17%
(5 pts)
第5次+
0%
(0 pts)
Note: Video watching behaviors (Watch Video, Repeat Watch) decay according to the above ratios when triggered multiple times in one day. Other event types use different decay rules. Contact Support is immune to decay.
Anti-flood Mechanism
Time Window:
5 分钟
Rule:
If the same event type is triggered again within 5 minutes (and it's the first time today), the score will be set to 0. Decayed scores are not affected.
Exception:
CONTACT_SUPPORT is immune to anti-flood mechanism.
AI客户培育引擎解读
- **Day 7 behavior is high-intent, not casual browsing.** Repeatedly watching the Cultural Insights Demo signals active evaluation of training content relevant to a distribution decision—behavior that historically correlates with higher conversion likelihood.
- 该行为属于高意向信号:反复观看文化洞察演示,说明客户正在认真评估与分销决策相关的培训内容,而非随意浏览。
- **Score rises modestly (42 → 43) because it's a single signal, not a compound pattern.** AI weights repeat views positively but requires cumulative evidence (inquiries, proposal requests, stakeholder engagement) before treating it as a pool-qualifying event.
- 分数仅小幅上升(42→43),因为这只是单一信号;AI 需要更多累积证据(如询盘、提案请求、多方参与)才会视为升级依据。
- **Still C Pool: 43 is well below the 60 threshold.** The gap (17 points) reflects insufficient breadth of engagement—no RFQ, no pricing discussion, no multi-stakeholder activity yet. Staying in C is correct discipline, not a miss.
- 仍留在 C 池:43 分远低于 60 分门槛,差距 17 分说明互动广度不足(无询价、无价格讨论、无多方参与)。留在 C 池是合理的纪律性判断。
- **Precise triggers now: content-led nurture + light sales touch.** Send a tailored Cultural Insights case study or module outline, schedule a low-friction check-in (not a hard proposal), and tag the account for sales visibility so the 100-unit inquiry is tracked early.
- 应触发:推送定制化文化洞察案例或课程大纲,安排低压力的跟进沟通(暂不硬推提案),并将该客户标记给销售团队,以便尽早追踪 100 单元分销询盘。
- **Path to the 100-unit deal: convert repeat viewing into a scoped conversation.** A demo-to-proposal bridge (e.g., "distribution-ready curriculum package" one-pager) plus a discovery call can add the 17+ points needed to cross 60, triggering B-pool upgrade and formal proposal workflow.
- 通往 100 单元订单的路径:把反复观看转化为有范围的对话——用"分销就绪课程包"一页纸 + 需求挖掘电话,补足 17 分以上以跨越 60 分门槛,触发升级至 B 池及正式提案流程。