Behavior Insight - Day 7
AI Scoring in Action
High-value Behavior
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 (11 → 39)
B Pool Threshold: 60
Day 1
11
Day 3
31
Day 7 (Actual)
39
Upgrade Status
Below Threshold
Customer is currently in C Pool.
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Real-time Score Statistics
Today's Total Score
0
All behaviors combined
Event Type Score Details
No behavior records today
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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
Last response: 2026-10-29 07:25:17
- **Why Day 7 survey is high-value:** Completing a post-video survey signals active engagement and intent, not passive viewing. It gives you qualification data (needs, budget signals, decision role) that sharpens the AI model.
*中文:完成视频后问卷说明客户是主动参与而非被动浏览,同时提供了需求、预算信号和决策角色等关键资格数据,让AI评分更精准。*
- **Why still C Pool:** Predicted score 39 vs. threshold 60 — the behavior adds signal but not enough cumulative weight. AI is being disciplined: no premature upgrade until evidence crosses the bar.
*中文:预测分39,距离升级门槛60仍有差距。该行为只是加分项,累计权重不足,AI保持审慎,未达标准不提前升级。*
- **Triggered actions (C-pool nurture):** Score the survey content, route to the right solution track (e.g., enterprise distribution training), and send a targeted content follow-up — not a proposal yet.
*中文:对问卷内容打分,将客户引导至匹配的方案方向(如企业分销培训),推送针对性内容跟进,暂不发提案。*
- **Path to upgrade:** Stack 2–3 more high-value touches (repeat video watch, resource download, webinar attendance) to push past 60 → auto-upgrade to B → trigger proposal and sales follow-up task.
*中文:再叠加2–3次高价值互动(重复观看、下载资料、参加直播),分数突破60即自动升级至B,触发提案与销售跟进任务。*
- **Supporting the 100-unit inquiry:** Survey data reveals scale and buying intent early; disciplined scoring keeps sales effort focused where conversion probability is highest, so the eventual proposal is well-qualified for a 100-unit order.
*中文:问卷数据提前暴露采购规模与意向,审慎评分让销售资源集中在转化概率最高的客户上,为最终100套分销询盘的提案做好充分资格铺垫。*