🎯

Lead Scoring Engine

AI-powered lead scoring system that automatically qualifies prospects based on behavioral data, engagement patterns, and predictive analytics.

Lead Scoring Dashboard

47,382
Leads Scored
Last 30 days
94%
Scoring Accuracy
ML-validated
3,847
High-Quality Leads
Score 80+
67%
Conversion Uplift
vs. unscored leads

High-Priority Leads

Contact
Company
Score
Engagement
Last Activity
Actions
Sarah Chen
VP Marketing
sarah.chen@techflow.com
TechFlow Solutions
SaaS • 150 employees
94
Hot
📧 Email opened: 94%
🌐 Page views: 23
📄 Downloads: 4
Pricing page visit
23 minutes ago
Marcus Johnson
CMO
mjohnson@datadrive.io
DataDrive Analytics
Analytics • 75 employees
87
Hot
📧 Email opened: 78%
🌐 Page views: 18
📄 Downloads: 2
Demo request
1 hour ago
Lisa Rodriguez
Director of Growth
l.rodriguez@scalecorp.com
ScaleCorp
FinTech • 200 employees
72
Warm
📧 Email opened: 67%
🌐 Page views: 12
📄 Downloads: 1
Content download
2 hours ago

AI Scoring Model

🧠

Behavioral Analysis

Advanced machine learning analyzes website behavior, content engagement, and interaction patterns to predict buying intent.

Page visit depth25 points
Content downloads20 points
Email engagement15 points
Demo requests40 points
🏢

Firmographic Scoring

Company size, industry, revenue, and technology stack data to identify ideal customer profile matches.

Company size (50-500)30 points
Target industry25 points
Revenue range20 points
Technology fit15 points

Real-Time Updates

Scores update instantly as leads engage with your content, ensuring sales teams always have current intelligence.

Update frequencyReal-time
Score recalculationInstant
Alert thresholdScore 80+
Model accuracy94%

Scoring Configuration

Scoring Criteria Weights

Behavioral Signals40%
Company Profile35%
Engagement History25%
Score Thresholds
Cold (0-39)Low Priority
Warm (40-69)Medium Priority
Hot (70-89)High Priority
Very Hot (90-100)Immediate Action

Scoring Performance

94%
Model accuracy rate
Based on conversion validation
23x
Higher conversion rate
Hot leads vs. cold
-67%
Sales cycle reduction
Scored leads
Recent Score Updates
Sarah Chen (TechFlow)
87 → 94+7
Marcus Johnson (DataDrive)
81 → 87+6
Alex Martinez (CloudTech)
67 → 73+6
Jennifer Kim (StartupFlow)
34 → 29-5

ROI Impact

+347%
Sales Efficiency Increase

Sales teams focus on high-scoring leads, dramatically improving conversion rates and reducing time to close.

$1.2M
Additional Revenue

Generated through improved lead qualification and faster identification of purchase-ready prospects.

-43%
Cost Per Acquisition

Reduced marketing waste by focusing efforts on leads most likely to convert.