Reps waste time on leads that will never close
"After implementing lead scoring, our reps focused on 40% fewer leads but closed 25% more deals. They finally knew which prospects were worth their time—and which ones needed more nurturing first."
How JoySuite Prioritizes Your Pipeline
Your reps treat every lead the same—whether it's a VP at a perfect-fit company or a student researching for a class project. Without scoring, they chase whoever's loudest in their inbox. Marketing passes over leads that aren't ready, and sales ignores leads that are. Meanwhile, your best prospects go cold while reps chase tire-kickers.
Score leads on the signals that matter
Connect your data sources
Connect JoySuite to your CRM, marketing automation, and website analytics. Vince, the data analyst assistant, pulls in lead data, engagement history, and firmographic details. Learn about Visual Intelligence →
Define your scoring criteria
Tell Vince what makes a good lead for your business: company size, industry, title, engagement level, content consumed. Vince helps you weight each factor based on your historical win data.
Generate scores automatically
Vince calculates a score for every lead combining fit (are they your ICP?), engagement (are they interested?), and intent (are they ready to buy?). Scores update as new signals arrive.
Prioritize and take action
Reps see their leads ranked by score with clear explanations of why each lead is hot, warm, or cold. Route high-scoring leads to sales instantly, nurture lower scores with marketing automation.
Key Features
⚡ Multi-Signal Scoring
Combine fit, engagement, and intent signals into a single score that reflects true buying readiness.
🎯 Explainable Scores
Every lead score includes clear reasoning so reps understand why a lead is hot, warm, or cold.
📊 Real-Time Updates
Scores update automatically as new engagement signals arrive from email, website, and content interactions.
🔄 Data Source Integration
Connect your CRM, marketing automation, website analytics, and firmographic data for comprehensive scoring.
What signals Vince analyzes
The more signals you connect, the smarter the scoring becomes.
CRM Data
Company, title, industry, size
Email Engagement
Opens, clicks, replies
Website Activity
Pages visited, time on site
Content Downloads
Whitepapers, case studies
Intent Signals
Pricing page, demo requests
Firmographic Data
Enriched company intel
Adapt this recipe for your needs
Inbound Lead Scoring
Score marketing-generated leads based on content engagement and form submissions.
Outbound Prospect Prioritization
Rank cold outreach targets by ICP fit and likelihood to respond based on signals.
Re-engagement Scoring
Identify dormant leads showing renewed interest based on recent activity spikes.
Account-Based Scoring
Score entire accounts by aggregating signals across multiple contacts at target companies.
What you'll get
Here's a sample lead scoring output with explanations:
Today's Priority Leads
| Lead | Company | Score | Why |
|---|---|---|---|
| Sarah Chen | Acme Corp | 92 Hot | VP title, pricing page 3x, demo request |
| Marcus Johnson | TechFlow | 87 Hot | ICP match, case study download, replied to email |
| Lisa Park | DataCo | 68 Warm | Good fit, moderate engagement, no intent signals yet |
| Alex Rivera | StartupXYZ | 34 Cool | Too small (12 employees), single page view |
Vince's insight: Sarah Chen visited pricing 3 times this week and just submitted a demo request. Recommend immediate outreach—she's comparing options now.
Who This Is For
Sales Reps
Account executives who want to focus their time on leads most likely to close instead of chasing tire-kickers.
Sales Managers
Leaders who want to ensure their team prioritizes the right opportunities and improve overall conversion rates.
Marketing Teams
Marketers who need to qualify leads before handoff and ensure sales focuses on marketing-qualified leads.
Revenue Operations
RevOps teams building lead routing and prioritization systems that improve sales efficiency.
Frequently Asked Questions
What is lead scoring?
Lead scoring assigns numerical values to leads based on their likelihood to become customers. It combines fit signals (company size, industry, title) with engagement signals (email opens, website visits) and intent signals (pricing page views, demo requests) to prioritize sales outreach.
How does AI improve lead scoring?
AI analyzes historical win/loss data to identify which signals actually predict conversions for your business. It continuously updates scores as new engagement data arrives and explains why each lead received its score, helping reps prioritize effectively.
What data sources feed into lead scoring?
JoySuite's Lead Scorer connects to your CRM, marketing automation, website analytics, and firmographic data providers. It analyzes company fit, contact title, email engagement, content downloads, website behavior, and intent signals.
How do I know if lead scoring is working?
Track conversion rates by lead score tier. Effective scoring should show higher conversion rates for high-scored leads. JoySuite helps you monitor scoring accuracy and refine weights based on actual win/loss outcomes.
What's the difference between lead scoring and lead grading?
Lead scoring typically measures engagement and intent (behavior), while lead grading measures fit (demographics). JoySuite combines both approaches, scoring leads on fit (ICP match), engagement (interest level), and intent (buying signals).