Top Intent Data Platforms for B2B Marketing 2026
B2B marketers increasingly rely on intent data to identify high-probability buying opportunities. Intent data signals when companies are actively researching solutions, comparing vendors, or planning purchases.
This guide compares the top intent data platforms for B2B marketing, pricing, and use cases.
What is Intent Data?
Intent data captures signals that indicate buying intent. Signals include:
First-party signals: Website visits, demo requests, product trials, webinar attendance Third-party signals: Competitor research, buying-guide downloads, industry topic research Purchase signals: RFP activity, budget announcements, hiring patterns (especially in specific roles)
How it works: 1. Intent data provider collects signals from web, content, RFP platforms 2. Signals are aggregated and scored by account 3. High-intent accounts are flagged for targeting 4. Marketers prioritize and engage high-intent accounts
Cost: [pricing varies, check vendor website] depending on data sources and volume
Best for: Demand generation, ABM, account prioritization
Metric: Lead velocity (intent to pipeline), sales cycle compression, close rate lift
Top Intent Data Platforms
1. 6sense
Approach: AI-powered, multi-source intent (web, content, company data, 1st-party)
Key features: - AI-driven account and contact scoring - Multi-source intent signals (web research, content consumption, buying signals) - Engagement velocity tracking (speed of engagement increase) - Account and contact-level insights - Integration with ABM platforms and CRM
Pricing: Custom based on data volume and contract size. Typical: [pricing varies, check vendor website]
Best for: Enterprise and mid-market ABM programs needing comprehensive intent visibility
2. Bombora
Approach: Buying-group and intent-driven (RFP activity, budget planning)
Key features: - Buying-group identification (who's involved in purchase decision) - Signals: RFP activity, website analytics, company research - Intent surge detection (accelerated interest) - Account and contact-level prioritization - Integration with marketing automation and CRM
Pricing: Custom. Typical: [pricing varies, check vendor website]
Best for: Demand generation, account prioritization, buying committee identification
3. Metadata.io
Approach: Research and RFP-driven (compliance, product research, RFP activity)
Key features: - Real-time RFP activity detection - Buying committee research and contact discovery - Account and contact-level intent scoring - Compliance and regulatory change signals - Integration with sales and marketing tools
Pricing: [pricing varies, check vendor website]
Best for: Sales teams prospecting, RFP-driven industries (compliance, healthcare, finance)
4. G2
Approach: Research and comparison (product reviews, comparisons, categories)
Key features: - Visitor identification (who's reading reviews and comparisons) - Category and competitor comparison signals - Contact information for researchers - Intent scoring by account - B2B marketplace data
Pricing: Custom. Typical: [pricing varies, check vendor website]
Best for: Competitive intelligence, visitor identification, comparison-driven research
5. ZoomInfo
Approach: Company data + intent (employee changes, company changes, web activity)
Key features: - Company and contact database (firmographics, technographics, decision-makers) - Intent signals (job changes, funding, M&A, hiring) - Buyer intent signals (website visits, content downloads) - Integration with sales and marketing tools
Pricing: Subscription model. Typical: [pricing varies, check vendor website]
Best for: Sales prospecting, account research, contact discovery
6. Clearbit
Approach: Company data + third-party signals
Key features: - Company firmographic and technographic data - Company change signals (funding, M&A, hiring) - Third-party intent signals (web activity, competitor research) - API and integration-friendly - Real-time data enrichment
Pricing: Usage-based. Typical: [pricing varies, check vendor website]
Best for: Data enrichment, company research, demand generation
Comparison: Intent Data Platforms
| Feature | 6sense | Bombora | Metadata.io | G2 | ZoomInfo | Clearbit |
|---|---|---|---|---|---|---|
| AI-driven scoring | Yes | Yes | Limited | Limited | Limited | No |
| RFP/budget signals | Yes | Yes | Yes | No | Yes | No |
| Buying group ID | Yes | Yes | Yes | Limited | Limited | No |
| Company data | Yes | Limited | Limited | Limited | Yes | Yes |
| Contact data | Yes | Limited | Yes | Yes | Yes | Limited |
| Research signals | Yes | Limited | Limited | Yes | Limited | Limited |
| Job change signals | Yes | Limited | Limited | No | Yes | Yes |
| Integration depth | Deep | Good | Good | Limited | Deep | Very Deep (API) |
| Price (annual) | [pricing varies, check vendor website] | [pricing varies, check vendor website] | [pricing varies, check vendor website] | [pricing varies, check vendor website] | [pricing varies, check vendor website] | [pricing varies, check vendor website] |
| Best for | ABM + demand gen | Demand gen, ABM | Sales prospecting | Competitive intel | Sales prospecting | Data enrichment |
Use Cases by Platform
1. Enterprise ABM with 6sense
Scenario: Fortune 500 company targeting 50 enterprise accounts
- 6sense scores accounts by buying intent
- Identifies buying committees automatically
- Tracks engagement velocity (increasing research = buying intent)
- Integrates with ABM platform (Abmatic AI)
- Sales prioritizes high-intent accounts
- Expected outcome: Shorter sales cycles, 15-25% close rate. Learn more about account-based marketing.
2. Demand Gen with Bombora
Scenario: Mid-market SaaS company generating pipeline
- Bombora flags accounts with buying intent (RFP activity, budget planning)
- Marketing targets high-intent accounts with paid ads
- Sales prioritizes high-intent inbound leads
- Expected outcome: Higher conversion rate (3-5% vs. 1-2% typical)
3. Sales Prospecting with Metadata.io
Scenario: Enterprise software company with 30-person sales team
- Metadata.io detects RFP activity and compliance changes
- Sales team discovers buying committees (who's involved)
- Sales conducts warm outreach (based on RFP signal)
- Expected outcome: Faster qualification, more deals from RFPs
4. Competitive Intelligence with G2
Scenario: SaaS company tracking competitor positioning
- G2 tracks who's researching competitors (visitor identification)
- Company identifies prospects comparing against them
- Marketing targets competitors' researchers with comparison messaging
- Expected outcome: Competitive win-rate lift
5. Sales Prospecting with ZoomInfo
Scenario: Enterprise software company with high-touch sales team
- ZoomInfo identifies prospect companies and decision-makers
- Sales team researches companies (hiring patterns, funding, changes)
- Sales team targets accounts showing hiring in target roles (CFO, CIO)
- Expected outcome: Higher-quality leads, faster sales cycles
6. Data Enrichment with Clearbit
Scenario: Marketing automation system ingesting leads
- Clearbit enriches leads with company data (industry, size, funding)
- Enriched data improves lead scoring
- Marketing and sales get complete account context
- Expected outcome: Better segmentation, higher conversion rates
Skip the manual work
Abmatic AI runs targets, sequences, ads, meetings, and attribution autonomously. One platform replaces 9 tools.
See the demo →Cost-Benefit Analysis
Scenario: B2B SaaS company, [threshold] ARR, 80-person sales team
Option 1: Intent data only (Bombora) - Cost: [pricing varies, check vendor website] - Pipeline impact: 10-20% increase in velocity (compressed sales cycles) - Revenue impact: Minimal (intent helps prioritization, not generate)
Option 2: Intent data + ABM platform (6sense + Abmatic AI) - Cost: [pricing varies, check vendor website] combined - Pipeline impact: 30-40% increase (new pipeline from ABM + faster cycles) - Revenue impact: 15-25% lift in enterprise close rate - Expected: Additional $M-$M pipeline/year - ROI: 17x-33x
Option 3: Intent data + company data + enrichment (6sense + ZoomInfo) - Cost: [pricing varies, check vendor website] - Pipeline impact: 20-30% increase in sales team productivity - Revenue impact: 10-15% lift in sales cycle compression - Expected: Additional $M-$M pipeline/year - ROI: 15x-35x
Implementation Considerations
Data quality: Intent data quality varies. Ensure platform covers your target industries and geographies.
Integration: Most platforms integrate with Salesforce, HubSpot, and ABM tools. Verify before purchase.
Data freshness: Real-time data (Metadata.io, Bombora) vs. batch updates. For rapid-cycle sales, real-time is better.
Privacy and compliance: Ensure platform complies with GDPR, CCPA, and other regulations.
Sales adoption: Sales teams must act on intent signals quickly (within 24 hours for high-intent leads). Requires process change and training.
When to Layer Multiple Intent Platforms
Single platform approach: Start with one (6sense for ABM, Bombora for demand gen, Metadata.io for sales)
Dual platform approach: Add second platform if first doesn't cover all needs - 6sense + Bombora: Comprehensive intent coverage (AI + RFP signals) - 6sense + ZoomInfo: Intent + company/contact data
Avoid over-layering: More than two platforms create complexity and redundancy. Diminishing returns after 2 platforms.
Conclusion
Choose 6sense for: Enterprise ABM, comprehensive intent scoring, engagement velocity
Choose Bombora for: Demand gen, RFP-driven buying, buying group identification
Choose Metadata.io for: Sales prospecting, RFP activity, compliance-driven buying
Choose G2 for: Competitive intelligence, research-driven targeting
Choose ZoomInfo for: Sales prospecting, company/contact data, hiring signals
Choose Clearbit for: Data enrichment, API-first integration
Most successful B2B companies use 1-2 intent platforms layered with ABM and demand gen strategies. Start with one, measure impact, then expand if ROI justifies investment.
