Intent data identifies which accounts are actively researching solutions in your category, enabling targeted outreach at moments of highest purchase readiness. Three primary platforms dominate the intent data space in 2026: 6sense (proprietary first-party), Demandbase (proprietary + third-party hybrid), and Bombora (third-party aggregated). This comparison helps you choose the right intent data approach for your ABM program.
See also: Account-Based Marketing Platforms With Intent Data 2026 - Feature & Pricing Guide.
Intent data signals indicate that an account is actively researching, evaluating, or planning to purchase solutions like yours. Intent signals come from three sources:
First-party intent: Behavior on your own website (page visits, content downloads, form fills).
Proprietary intent: First-party signals collected from thousands of partner websites and SaaS platforms, showing when accounts research competitors, industry solutions, and related topics.
Third-party intent: Aggregated intent signals from content publishers, event attendees, job postings, and other external sources.
Most enterprise ABM uses a combination of all three.
You own 100% of first-party intent data. Every website visitor, form fill, and asset download on your site represents intent to learn about your solution.
Highest confidence intent: Visitors to your site are already interested in your category.
Zero cost: You own this data; no additional expense.
Easy to action: Direct routing to sales from website visitors is straightforward.
Privacy-safe: First-party data is under your control; no data privacy regulations restrict its use.
Limited reach: Only captures people who find your site. Misses accounts in early research who haven't heard of you yet.
Selection bias: Over-represents people already aware of your company.
Volume constraints: Depends on your website traffic. Small websites generate limited first-party signals.
Native to all ABM platforms. No additional tool or cost required.
Data collection: 6sense collects first-party signals from thousands of B2B SaaS platforms, websites, and publishers where business professionals spend time.
Scale: 6sense tracks behavior across thousands of websites and apps, capturing intent signals across the entire B2B research journey.
Account-level signals: 6sense attributes intent signals to business accounts and individuals, not just anonymous web traffic.
Recency: Intent signals are updated continuously. Most signals are fresh (days old, not weeks or months).
Depth: 6sense models track not just that an account is researching, but propensity to buy and estimated timing.
Comprehensive coverage: 6sense's 10-year history collecting signals means deep historical data on millions of accounts and topics.
Predictive models: Beyond showing intent, 6sense predicts which accounts are most likely to buy and when.
First-mover advantage: 6sense entered the intent data space early, building network effects (more partners provide more data).
AI sophistication: Machine learning models trained on historical deals refine intent signals to predict deal probability.
High cost: Intent data comes bundled with ABM platform (Contact vendor for pricing+). You can't buy intent data alone from 6sense.
Partner limitation: Data quality depends on 6sense partner relationships. Some industries/verticals have weaker coverage.
Integration required: 6sense intent data requires platform adoption to be actionable.
Training time: 6sense models improve with your historical deal data. Initial models may be less precise.
Data sources: Demandbase combines proprietary first-party signals with acquired third-party providers (Bombora, G2, etc.), creating a comprehensive intent network.
Account-level attribution: Like 6sense, Demandbase attributes intent signals to business accounts.
Breadth: By combining multiple data sources, Demandbase covers more intent signals than single-source platforms.
Multi-motion intent: Demandbase maps intent across new business, expansion, and churn risk.
Comprehensive coverage: Multiple data sources mean better coverage across industries and verticals.
Flexibility: You can choose which intent providers to include (Bombora, G2, third-party enrichment, etc.).
Multi-motion support: Intent signals mapped to expansion opportunities and churn risk, not just new business.
Vendor optionality: Not locked into single intent provider; can adjust mix based on results.
Integration complexity: Multiple intent sources require data normalization and reconciliation.
Cost: High base fee + per-account charges + intent module add-on. Total cost comparable to 6sense.
Overlap: Combining multiple intent sources can create redundancy and inflated signal counts.
Dependency on partners: Quality depends on third-party provider relationships and data freshness.
Data source: Bombora aggregates intent signals from thousands of B2B content publishers, showing when accounts research specific topics.
Topic coverage: Bombora tracks research across hundreds of topics and keywords relevant to different industries and solution categories.
Intent cards: Bombora provides "intent cards" (packaged topic research signals) that show account-level research activity on specific topics.
Standalone purchase: You can buy Bombora intent data without committing to larger ABM platform.
Topic granularity: Bombora shows exactly which topics accounts are researching, enabling precise targeting.
Cost-effective for smaller deployments: Per-account pricing allows smaller companies to access intent data cost-effectively.
Flexible integration: Bombora integrates with most ABM platforms, marketing automation tools, and CRMs via API or CSV.
Anonymous signals: Bombora data is aggregated from publishers; some accounts remain anonymous.
Publication bias: Over-represents accounts reading articles on publisher sites. Misses accounts using other research methods.
Lag time: Intent cards refresh monthly, not daily. Some signal freshness is lost.
No predictive modeling: Bombora shows intent without predicting deal probability or timing.
Data source: G2 collects intent from software buyers researching, reading reviews, and requesting pricing.
Vertical focus: G2's strength is software/SaaS categories. Less useful for non-software verticals.
Research depth: G2 shows how seriously accounts are evaluating (reviews read, comparisons made, pricing requests).
Buyer behavior clarity: G2 shows exactly what accounts are researching and comparing.
SaaS specialization: Excellent for SaaS companies where most research happens on G2.
Evaluation stage visibility: You see which stage of buying process each account is in.
Limited to software category: Primarily useful for software and SaaS selling. Less useful for professional services, hardware, etc.
Bias toward major categories: G2 has limited coverage in niche categories. Smaller solution categories get less coverage.
Anonymous research: Some G2 research is anonymous or IP-based (not account-mapped).
Model: Bundled with ABM platform. Can't purchase intent data separately. Cost: Included in Contact vendor for pricing+ annual contract Typical cost per account: Contact vendor for pricing annually (depends on total account base)
Model: Base platform cost + per-account charges + intent module add-on Cost: Contact vendor for pricing+ annually Typical cost per account: Contact vendor for pricing annually
Model: Monthly subscription or per-account pricing Cost: Contact vendor for pricing monthly (or Contact vendor for pricing per account annually for large lists) Standalone purchase: Yes, can buy Bombora without ABM platform
Model: Partnership integrations (often free or included in other platform subscriptions) Cost: Free to Contact vendor for pricing+ monthly depending on integration and data volume Standalone purchase: Limited; primarily integrated into other platforms
| Dimension | 6sense | Demandbase | Bombora | G2 |
|---|---|---|---|---|
| Data source | Proprietary first-party | Hybrid (proprietary + third-party) | Aggregated third-party | Aggregated (reviews) |
| Account coverage | Millions | Millions | Hundreds of thousands | Thousands |
| Intent freshness | Daily | Daily | Monthly | Daily |
| Topic specificity | High | High | High | Medium |
| Predictive modeling | Excellent | Good | None | None |
| Standalone purchase | No (bundled) | No (bundled with ABM) | Yes | Limited |
| Integration ease | Native (platform-built) | Native (platform-built) | API, CSV, integrations | Integrations |
| Cost (typical) | Contact vendor for pricing+/year | Contact vendor for pricing+/year | Contact vendor for pricing/month | Free-Contact vendor for pricing/month |
| Setup time | 6-12 months | 4-6 months | 2-4 weeks | 1-2 weeks |
| Data privacy | Transparent | Transparent | Transparent | Transparent |
| Vertical coverage | Excellent (all sectors) | Excellent (all sectors) | Good (B2B focused) | Excellent (software) |
You're pursuing high-ACV enterprise deals where predictive intent modeling directly impacts revenue.
You want the most sophisticated predictive models trained on millions of deals.
You can afford Contact vendor for pricing+ annual commitment for ABM platform (intent bundled).
You need account-level intent across all industries and verticals.
You value Fortune 500 references and established vendor credibility.
You want flexibility to combine multiple intent sources.
Expansion and retention ABM are as important as new business.
You prefer vendor optionality (can swap intent providers if results don't match expectations).
You have budget for Contact vendor for pricing+ but want some flexibility in intent data sourcing.
You want to test intent data without committing to Contact vendor for pricing+ ABM platform.
Topic-level research accuracy is more important than predictive modeling.
You prefer flexible, standalone intent data you can integrate with existing tools.
Your budget is Contact vendor for pricing monthly rather than Contact vendor for pricing+.
You want to layer intent on top of existing HubSpot or Salesforce setup.
You're selling software or SaaS to software buyers.
You want research visibility into competitors and alternatives buyers are evaluating.
You want to integrate intent into existing marketing automation without separate ABM platform.
Your budget is minimal (Contact vendor for pricing/month).
Use all four: 1. First-party: Your own website behavior (cost-free, high confidence) 2. Proprietary (6sense or Demandbase): If you have ABM platform, use built-in intent 3. Bombora: Layer on top of existing tools for topic-level specificity 4. G2: If selling software, track competitor research and evaluation activity
Typical multi-source stack cost: Contact vendor for pricing monthly (first-party free + Bombora Contact vendor for pricing-2K + G2 Contact vendor for pricing + occasional 6sense/Demandbase queries)
Based on 2025-2026 customer reports:
6sense intent customers report: - Pipeline increase: 20-40% from intent-targeted campaigns - Time savings: 30-50% reduction in time-to-first-conversation (targeting warm accounts vs cold) - Deal quality: Modest improvement in close rates (5-15%) for intent-targeted accounts - ROI timeline: 4-8 months to visible impact
Demandbase intent customers report: - Similar pipeline impact to 6sense: 15-35% - Greater breadth of signals (multiple sources) - Account expansion identification: 20-30% of accounts show expansion intent signals - ROI timeline: 4-8 months
Bombora intent customers report: - Targeted campaign impact: 10-25% pipeline increase - Topic relevance: High confidence in topic accuracy - Cost efficiency: Better ROI per dollar spent than enterprise platforms (due to lower cost) - ROI timeline: 2-3 months (faster due to lower overall investment)
Note: These are qualitative benchmarks from available case studies and user communities, not rigorous third-party studies.
Implementation includes account selection, intent, and full ABM deployment.
Implementation includes multi-motion ABM and intent setup.
Quick setup with existing tools. Can start using intent signals immediately.
Direct integration with platforms like HubSpot, Marketo. Minimal setup.
Annual cost: Contact vendor for pricing Pipeline impact: 20-40% increase Typical annual pipeline: Contact vendor for pricing Pipeline increment: Contact vendor for pricing Deal margin: 40-60% Revenue increment: Contact vendor for pricing ROI: Breakeven at lower end (Contact vendor for pricing pipeline increase), strong at higher end
Annual cost: Contact vendor for pricing Pipeline impact: 10-25% increase Typical annual pipeline: Contact vendor for pricing Pipeline increment: Contact vendor for pricing Deal margin: 40-60% Revenue increment: Contact vendor for pricing ROI: Positive at all but smallest pipeline scales
Conclusion: Bombora ROI is better at smaller scales. 6sense ROI is better at larger scales where high-ACV deals justify sophistication.
For enterprise companies (Contact vendor for pricing+ ACV): Invest in 6sense or Demandbase intent via ABM platform. Proprietary intent depth and predictive modeling drive measurable ROI.
For mid-market companies (Contact vendor for pricing ACV): Layer Bombora intent on top of existing tools (HubSpot, Marketo). Standalone purchase is cost-efficient. Can add 6sense/Demandbase later.
For SaaS companies (all scales): Use G2 intent (free to low-cost) plus Bombora (if budget allows). Evaluate 6sense/Demandbase only if ACV and deal complexity justify cost.
Best practice: Multi-source intent approach using first-party + Bombora + G2 at low cost, with option to upgrade to 6sense/Demandbase intent if results justify investment.
Q: Is intent data worth the investment? A: Yes, if your ACV is Contact vendor for pricing+. For lower ACV, simpler intent sources (Bombora, G2) are more cost-efficient.
Q: Should we buy intent data standalone or bundled with ABM platform? A: Standalone (Bombora, G2) if you want low-cost testing. Bundled (6sense, Demandbase) if you're deploying full ABM platform.
Q: How fresh do intent signals need to be? A: Daily updates are ideal, but weekly/monthly signals still drive results. Fresher is better, but don't overweight freshness vs other factors.
Q: Can we combine multiple intent data sources? A: Yes. Combining 6sense + Bombora + G2 provides breadth. Watch for signal overlap and confusion.
Q: What's the typical time from intent signal to closed deal? A: 4-12 weeks typical. Intent signals have highest value within 2-4 weeks of appearing.
Before selecting a platform, establish clear success metrics:
Adoption rate: Track percentage of team members using the platform consistently. Target 80%+ adoption within 60 days.
Data quality: Monitor accuracy of contact information, email bounce rates, and phone number validity. Target 90%+ accuracy.
Pipeline impact: Measure deals influenced by accounts identified or contacted through this platform. Compare month-over-month.
Sales velocity: Track time from first contact to sales conversation. Look for 15-25% reduction in sales cycle.
Cost per qualified lead: Calculate total platform cost divided by qualified leads generated. Compare to existing channels.
User satisfaction: Survey team monthly on usability, feature request frequency, and perceived value.
Insufficient training: Many teams underestimate training time needed. Budget 4-6 hours per user for initial onboarding plus ongoing enablement.
Poor data hygiene: Garbage data in means garbage insights out. Invest in data cleaning before importing contact lists.
Feature overuse: Teams often activate too many features at once. Start with core functionality and add gradually based on usage.
Lack of executive alignment: Ensure sales leadership understands ROI expectations and can enforce adoption.
Missing integration planning: Plan integrations with CRM, marketing automation, and sales tools before launch day to prevent delays.
Skipping vendor onboarding: Take full advantage of vendor implementation services and success managers included in enterprise contracts.
When evaluating total cost of ownership:
Platform subscription: Base annual cost varies by pricing model (per-seat, per-account, or consumption-based).
Implementation services: Often 10-30% of first-year platform cost. Clarify what's included vs. paid.
Integration and customization: API calls, webhook configuration, and CRM customization add 5-15% overhead.
Training and enablement: Internal training plus ongoing support from vendor success team.
Opportunity cost: Time spent on setup, training, and early adoption before ROI appears (typically 90-180 days).
Migration costs: Data cleanup, historical record mapping, and process redesign when switching platforms.
Many teams find that first-year costs are 1.5-2x the platform subscription alone when accounting for full implementation.
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