Predictive Lead Scoring
Score leads based on firmographics, behavior, and engagement patterns
❌ The Problem
- →Sales teams treat all leads equally, wasting time on bad fits
- →No consistent criteria for what makes a "good" lead
- →High-value prospects slip through while reps chase unqualified leads
- →Manual qualification processes are slow and inconsistent
- →Marketing and sales disagree on what makes an MQL
✅ The Solution
- →Automated scoring based on firmographics and behavior
- →Real-time score updates as leads engage
- →MQL threshold automation for instant routing
- →Score decay over time to prioritize active leads
- →Consistent, data-driven lead qualification
How It Works
Data Collection
Gather firmographics (company size, industry) and behavioral data (website visits, email engagement)
Score Calculation
Multi-factor scoring model assigns points for each criterion
Real-Time Updates
Scores automatically update as new data comes in
MQL Automation
Leads crossing threshold auto-convert to MQL and route to sales
Score Decay
Scores decrease over time without engagement to keep list fresh
Key Features
Works With
Don't see your tool? We integrate with 100+ platforms.
Perfect For
B2B SaaS Companies
Qualify inbound leads based on company fit and behavior
Marketing Teams
Align on MQL criteria and automate handoff to sales
Sales Development
Prioritize outreach based on lead quality scores
Pricing
$2,600
One-time setup + configuration
Optional: $350/month ongoing maintenance & optimization
Includes model refinement, threshold tuning, and performance monitoring
Custom scoring model based on your ICP
Integration with CRM and enrichment tools
MQL automation and routing setup
30 days post-launch support and tuning
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