AI-Powered Lead Scoring
Biznomate’s advanced machine learning algorithms analyze vast datasets to identify and prioritize high-value prospects, helping you focus on leads most likely to convert.How It Works
Data Analysis
Our AI analyzes multiple data points to score each lead:- Company Information: Size, industry, revenue, growth stage
- Contact Details: Job title, seniority, department
- Behavioral Signals: Email engagement, website activity
- Market Intelligence: Industry trends, company news
- Historical Patterns: Similar lead conversion data
Scoring Algorithm
Leads are scored on a scale of 0-100 based on:- Fit Score (40%): How well the lead matches your ideal customer profile
- Engagement Score (30%): Likelihood of response based on behavioral patterns
- Opportunity Score (20%): Potential deal size and timeline
- Activity Score (10%): Recent company activity and growth signals
Understanding Lead Scores
Score Ranges
- 90-100: Hot leads - Immediate follow-up recommended
- 70-89: Warm leads - High priority for outreach
- 50-69: Lukewarm leads - Standard campaign inclusion
- 30-49: Cold leads - Consider nurturing campaigns
- 0-29: Very cold leads - May need different approach
Score Factors
Company Fit
Company Fit
- Industry alignment with your target market
- Company size and revenue range
- Technology stack and tools used
- Growth stage and funding status
Contact Role
Contact Role
- Decision-making authority
- Department and responsibilities
- Seniority level and influence
- Previous engagement history
Behavioral Signals
Behavioral Signals
- Email open and click rates
- Website visit frequency
- Content engagement patterns
- Response likelihood indicators
Market Intelligence
Market Intelligence
- Recent company news and announcements
- Industry trends and challenges
- Competitive landscape changes
- Market opportunity signals
Lead Scoring Dashboard
Overview
The Lead Scoring dashboard provides real-time insights into your lead quality:- Score Distribution: Visual breakdown of lead scores
- Trend Analysis: Score changes over time
- Conversion Correlation: How scores relate to actual conversions
- Score Drivers: Key factors influencing individual scores
Score Updates
Lead scores update automatically based on:- New engagement data
- Company news and updates
- Behavioral pattern changes
- Market intelligence updates
Best Practices
Data Quality
- Ensure accurate company and contact information
- Include job titles and seniority levels
- Provide industry and company size data
- Keep lead data current and verified
Score Interpretation
- Focus on high-scoring leads (70+) for immediate outreach
- Use medium-scoring leads (50-69) for nurturing campaigns
- Consider different approaches for low-scoring leads
- Monitor score trends and adjust strategies accordingly
Campaign Optimization
- Segment campaigns by score ranges
- Personalize messaging based on score factors
- A/B test different approaches for various score levels
- Track conversion rates by score range
Advanced Features
Custom Scoring Models
Enterprise customers can create custom scoring models:- Define your own scoring criteria
- Weight factors based on your business
- Train models on your historical data
- Create industry-specific scoring algorithms
Score Alerts
Set up notifications for:- New high-scoring leads
- Score changes for existing leads
- Lead score threshold breaches
- Weekly score summary reports
Integration with Campaigns
Automated Segmentation
- Automatically segment leads by score
- Route high-scoring leads to premium campaigns
- Apply different follow-up sequences based on scores
- Optimize send times based on score levels
Performance Tracking
- Track conversion rates by score range
- Monitor score-to-revenue correlation
- Analyze which factors drive conversions
- Optimize scoring algorithms based on results
Troubleshooting
Common Issues
Low Scores Across All Leads
Low Scores Across All Leads
- Check data quality and completeness
- Verify industry and company information
- Ensure job titles are accurate and detailed
- Review your ideal customer profile settings
Score Not Updating
Score Not Updating
- Verify data import was successful
- Check for new engagement data
- Ensure company information is current
- Contact support if issues persist
Inaccurate Scores
Inaccurate Scores
- Review your target market settings
- Update your ideal customer profile
- Provide feedback on score accuracy
- Consider custom scoring model
Need Help?
Contact Support
Get help with lead scoring configuration.
Custom Scoring Models
Learn about enterprise custom scoring options.