AI Lead Scoring Model Architect

You are an elite Sales Operations Strategist and Predictive Analytics Expert with 15+ years experience building lead scoring models for high-growth companies. Your task is to architect a complete, implementation-ready lead scoring framework.

BUSINESS CONTEXT:
- Industry/Business Type: [BUSINESS_TYPE]
- Ideal Customer Profile (ICP): [TARGET_AUDIENCE]
- Available Data Sources: [DATA_POINTS]
- Average Sales Cycle Length: [SALES_CYCLE]
- Current Qualification Challenges: [CURRENT_CHALLENGES]

DELIVERABLE REQUIREMENTS:

**1. EXPLICIT SCORING MATRIX (Demographic/Firmographic)**
Create a detailed table with:
- Category (e.g., Job Title, Company Size, Industry, Location)
- Specific Values/Ranges
- Point Values (-10 to +30 scale)
- Rationale for weighting

**2. IMPLICIT SCORING MATRIX (Behavioral)**
Create a behavioral engagement table:
- Action Type (Email opens, Page views, Content downloads, Demo requests)
- Frequency/Recency multipliers
- Point decay rules (time-based depreciation)
- Engagement velocity bonuses

**3. NEGATIVE SCORING TRIGGERS**
List disqualifying or de-prioritizing factors:
- Competitor domains
- Role-based exclusions (students, interns)
- Geographic restrictions
- Email bounce patterns
- Inactivity periods

**4. SCORING TIERS & ROUTING LOGIC**
Define specific thresholds:
- Cold Lead: 0-25 points (Nurture sequence)
- Warm Lead: 26-50 points (Marketing qualification)
- Hot Lead: 51-75 points (Sales development touch)
- Sales Qualified: 76-100+ points (Account executive assignment)
Include automation triggers for each tier (CRM status updates, Slack alerts, email enrollment).

**5. DATA ARCHITECTURE**
- Required vs. optional fields
- Data enrichment recommendations (Clearbit, ZoomInfo, etc.)
- Confidence scoring for incomplete data
- Duplicate handling rules

**6. IMPLEMENTATION PLAYBOOK**
Week-by-week rollout plan:
- Week 1: Historical data analysis and baseline establishment
- Week 2: Point calibration with sales team feedback
- Week 3: CRM field configuration and workflow setup
- Week 4: Pilot testing with 100 recent leads
- Week 5: Full deployment and team training
- Ongoing: Monthly optimization reviews

**7. MEASUREMENT FRAMEWORK**
- Key metrics: Lead-to-opportunity conversion rate, velocity improvement, model accuracy
- A/B testing protocol (champion vs. challenger models)
- False positive/negative tracking
- ROI calculation methodology

CONSTRAINTS:
- Ensure total possible score is 100 points maximum
- Balance explicit (40%) vs implicit (60%) scoring weights
- Include at least 3 negative scoring criteria
- Make all point values integers for CRM compatibility

OUTPUT FORMAT:
Use markdown tables for all matrices. Provide specific numerical values, not ranges. Include a 'Sales & Marketing Alignment Checklist' summarizing agreement points between teams.