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High-value Behavior
View Triggered Tasks
Behavior
Day 7 High-Value Behavior: Completed post-video survey questionnaire
Engagement Level
High
Repeated views indicate strong intent
Pool Status
C
Currently in C Pool
AI Score Growth Animation (17 → 59)
B Pool Threshold: 60
Day 1
17
Day 3
37
Day 7 (Actual)
59
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
**1) Why Day 7 behavior is high value** - Completing a post-video survey = active intent + data capture; not passive viewing. - 完成视频后问卷是主动互动,能暴露需求、预算、培训场景和采购角色。 - For B2B training, survey completion signals internal evaluation or champion behavior. - 在B2B培训中,这通常意味着客户正在内部评估或已有推动者。 **2) Why AI keeps this customer in C Pool** - Predicted score 59 < C→B threshold 60; no upgrade yet. - 预测分59,未达到C升B阈值60,因此暂不升级。 - The behavior is positive but still one step short of the confidence needed for B pool. - 行为积极,但强度还不足以让AI判定为更高成熟度商机。 - Staying in C avoids over-eager sales touches and preserves follow-up quality. - 留在C池可避免过早销售打扰,并保持后续触达质量。 **3) Precise nurturing actions to trigger** - Send a personalized thank-you / insight summary based on survey answers. - 根据问卷答案发送个性化感谢信或洞察总结。 - Trigger a soft content follow-up: case study, ROI one-pager, or training needs checklist. - 触发软性内容跟进:案例、ROI单页或培训需求清单。 - Create a sales-assist task for review, but do not send a full B2B proposal yet. - 创建销售辅助任务供内部审核,但暂不发送完整B2B提案。 - Set a near-threshold alert: if score hits 60+, auto-upgrade to B and notify sales. - 设置临界提醒:一旦达到60分以上,自动升级到B并通知销售。 **4) How this supports a 100-unit distribution inquiry** - Survey data can qualify the 100-unit need, audience size, and delivery model. - 问卷数据可验证100套需求、受训人数和交付模式。 - It gives sales a reason to follow up with tailored materials, not cold outreach. - 这为销售提供有依据的跟进理由,而不是冷启动开发。 - If engagement continues, B-pool upgrade triggers proposal + follow-up tasks. - 若互动持续,升级到B池后将触发提案和跟进任务。 - That sequence improves conversion odds from inquiry to 100-unit distribution deal. - 这一路径能提高从咨询转化为100套分销订单的概率。