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 (10 → 14)
B Pool Threshold: 60
Day 1
10
Day 3
10
Day 7 (Actual)
14
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
**Day 7 Nurturing Read: C Pool, Score 10 → 14 (Threshold 60)**
- **High-value signal:** Completing a post-video survey is an active, explicit intent signal — not passive viewing. It confirms content relevance and gives us qualification data (role, needs, timeline) that sharpens targeting.
该行为是高价值信号:填写视频后问卷是主动的意向表达,而非被动观看;既验证内容相关性,也提供画像与需求数据,提升后续触达精准度。
- **Why still C Pool:** Score moved only 10 → 14 vs. a 60 threshold. One strong micro-signal isn't enough — AI needs cumulative depth (repeat sessions, multiple asset views, inquiry-level actions) before promoting to B.
仍留在C池:分数仅从10升至14,距离60的升级线尚远。单一强信号不足以升级,AI需要累积深度行为(多次访问、多资产浏览、询盘级动作)才转入B池。
- **Triggered actions (precise, low-cost):** Log survey answers to the lead profile; route a tailored content follow-up (e.g., case study aligned to stated needs); set a soft sales task for review only if score hits ~30; no proposal yet.
应触发的精准动作:将问卷答案写入线索画像;推送与需求匹配的内容(如相关案例);分数接近30时再生成轻量销售跟进任务;暂不发送正式方案。
- **Path to a 100-unit inquiry:** Each qualifying touch compounds score and reveals buying signals (team size, budget, delivery format). At B-pool entry, trigger a scoped proposal + sales follow-up — the right moment to surface a 100-seat distribution/volume discussion.
通向100套询盘的路径:每次有效触达累积分数并暴露采购信号(团队规模、预算、交付形式)。进入B池时触发定制方案与销售跟进,此时再切入100套批量/分销议题最合适。
- **Business impact:** Keeps sales effort focused on genuinely warming leads, protecting conversion rate and cost-per-qualified-lead while avoiding premature proposal spend on low-intent accounts.
业务影响:让销售精力集中在真正升温的线索上,保护转化率与合格线索成本,避免对低意向客户过早投入方案资源。