Best Lead Scoring Software 2026: Top 10 Platforms Compared
Lead scoring improves conversion by 77%. The right software helps sales focus on leads most likely to buy.
Key Takeaways
- Best built-in: HubSpot (scoring in CRM)
- Best enterprise: Marketo (advanced scoring)
- Best predictive: 6sense (AI-powered)
- Best for sales: MadKudu (product + fit)
- Best free: HubSpot Free (basic scoring)
- Combine fit + behavior for best results
What Is Lead Scoring?
Lead scoring assigns points to leads based on:
Fit Score: How well they match ICP
- Company size
- Industry
- Job title
- Geography
Behavior Score: How engaged they are
- Website visits
- Email opens/clicks
- Content downloads
- Demo requests
Top 10 Lead Scoring Platforms
1. HubSpot
Best built-in
- Included in CRM
- Custom scoring rules
- Predictive (Enterprise)
- Easy to set up
- Price: Free-$3,600+/month
2. Marketo (Adobe)
Best enterprise
- Advanced scoring models
- Multi-touch attribution
- Account-level scoring
- AI scoring
- Price: Custom
3. 6sense
Best predictive
- AI-powered predictions
- Intent data included
- Account identification
- Buyer journey stages
- Price: Custom
4. MadKudu
Best for product-led
- Product usage signals
- Fit + behavior
- PQL identification
- Self-serve + enterprise
- Price: Custom
5. Salesforce Einstein
Best for Salesforce
- Native to Salesforce
- AI lead scoring
- Opportunity scoring
- Predictions
- Price: Included in higher tiers
6. Clearbit Reveal
Best for enrichment
- Company data
- Fit scoring
- Website visitor ID
- Real-time enrichment
- Price: Custom
7. Infer (Ignite)
Best predictive analytics
- Machine learning
- Fit models
- Lead prioritization
- CRM integration
- Price: Custom
8. Pardot (Salesforce)
Best B2B marketing
- Marketing automation
- Scoring + grading
- Salesforce native
- B2B focused
- Price: $1,250+/month
9. LeanData
Best for routing
- Scoring + routing
- Account matching
- Lead-to-account
- Salesforce native
- Price: Custom
10. Drift
Best conversational
- Chat-based scoring
- Real-time engagement
- Intent signals
- Conversation data
- Price: Custom
Comparison Table
| Platform | Best For | AI Scoring | Starting Price |
|---|---|---|---|
| HubSpot | Built-in | Enterprise | Free |
| Marketo | Enterprise | Yes | Custom |
| 6sense | Predictive | Yes | Custom |
| MadKudu | Product-led | Yes | Custom |
| Einstein | Salesforce | Yes | Included |
| Clearbit | Enrichment | Limited | Custom |
| Infer | Analytics | Yes | Custom |
| Pardot | B2B | Limited | $1,250/mo |
| LeanData | Routing | Limited | Custom |
| Drift | Conversational | Yes | Custom |
Scoring Model Best Practices
Demographic/Firmographic (Fit)
| Attribute | Points | Example |
|---|---|---|
| Job title match | +20 | VP Sales = +20 |
| Company size fit | +15 | 100-500 employees = +15 |
| Industry match | +10 | SaaS = +10 |
| Geography | +5 | US/UK = +5 |
Behavioral (Engagement)
| Action | Points | Example |
|---|---|---|
| Demo request | +50 | High intent |
| Pricing page | +20 | Buying signal |
| Content download | +10 | Research stage |
| Email open | +2 | Basic engagement |
| Email click | +5 | Active interest |
Negative Scoring
| Attribute | Points | Example |
|---|---|---|
| Competitor | -50 | Disqualify |
| Student email | -30 | Not buyer |
| Unsubscribed | -20 | Negative signal |
| No activity 30 days | -10 | Decay |
Scoring Thresholds
| Score Range | Classification | Action |
|---|---|---|
| 80+ | Hot (MQL/SQL) | Route to sales |
| 50-79 | Warm | Nurture + monitor |
| 20-49 | Cool | Continue nurturing |
| <20 | Cold | Long-term nurture |
FAQ
Manual vs. predictive scoring—which is better?
Manual for starting out and maintaining control. Predictive when you have enough data (1,000+ leads with outcomes). Predictive is more accurate but less transparent.
How often should I update scoring models?
Review monthly. Major updates quarterly. Recalibrate when conversion rates change or ICP shifts.
What's a good MQL to SQL conversion rate?
20-30% is healthy. Below 15% = scoring too loose. Above 50% = scoring too strict.
Should I score accounts or leads?
Both. Lead scoring for individual engagement. Account scoring for ABM and enterprise. Many tools do both.
How do I know if scoring is working?
Compare conversion rates by score tier. High scores should convert better. If not, recalibrate model.
Want AI lead scoring? Dewx GTM Hub scores leads automatically based on fit and engagement signals.
