Intent Data Tools Pricing Guide 2026: What You'll Actually Pay
Intent data is the engine of modern B2B marketing. It tells you which accounts are actively researching solutions in your category. But when you start evaluating vendors, pricing becomes confusing fast.
Intent data platforms don't publish their rates. You get told to "contact sales." You're left wondering if a five-person company should budget $15K or $150K annually for intent.
Here's a real breakdown of what intent data actually costs in 2026.
See our intent-based marketing guide for how to use intent signals effectively.
Why Intent Data Pricing Is Opaque
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Intent data pricing isn't transparent because it's heavily negotiated. Two companies of similar size in the same vertical might pay vastly different amounts based on:
- Contract length (1-year vs 3-year deals)
- Data volume (number of target accounts and industries)
- Feature breadth (intent only, vs intent plus platform)
- Vertical specialization (some verticals cost more to cover)
- Existing relationships and volume commitments
Also, most intent platforms bundle data with platform features. You're not just buying data; you're buying data plus infrastructure to use it. That makes pure pricing comparisons impossible.
That said, there are ranges. Here's what companies actually pay.
Top Intent Data Vendors: Real Pricing
6sense
What it is: Search-based intent data. Tracks billions of web queries and categorizes which companies are searching for solutions in your category.
Typical pricing: $25K-75K annually for mid-market.
Pricing factors: - Account database size (200-2000 accounts) - Industry verticals (specialty verticals cost more) - Feature tier (intent only vs platform orchestration) - Contract length
What's included: Intent data, account scoring, platform access, integrations.
Best for: Companies that want comprehensive intent data as the foundation of their ABM strategy.
Demandbase
What it is: Intent data plus broader platform. Owns proprietary search data, website traffic data, and public signals.
Typical pricing: $30K-100K annually for mid-market.
Pricing factors: - Account database size (500-5000 accounts) - Data volume and refresh rates - Platform features (orchestration, AI scoring) - Implementation scope
What's included: Intent data, account scoring, campaign orchestration, Salesforce integration, professional services.
Best for: Companies building a full ABM platform and want owned intent data included.
Bombora
What it is: Intent data focused on document-based intent. Tracks which companies are downloading research reports, RFPs, and industry content.
Typical pricing: $20K-60K annually for mid-market.
Pricing factors: - Data volume - Vertical coverage - API access
What's included: Intent data, scoring, API access, integrations.
Best for: Companies that want intent data without a broader platform and want to layer it into their existing tools.
Terminus
What it is: ABM platform that bundles intent data, platform, and advertising orchestration.
Typical pricing: $15K-50K annually for mid-market.
Pricing factors: - Account database size - Advertising spend (sometimes tied to ad platform minimums) - Feature tier
What's included: Intent data, platform, advertising orchestration, integrations.
Best for: Companies that want ABM platform with intent bundled rather than as a separate purchase.
LinkedIn Sales Navigator
What it is: Not pure intent data, but first-party signals from LinkedIn (profile changes, job moves, company changes).
Typical pricing: $80-165 per user per month (minimum 3-5 users).
What's included: LinkedIn search, saved leads and accounts, real-time notifications, InMail messages.
Best for: Sales teams that want LinkedIn-native intent signals without buying a dedicated platform.
Koala
What it is: Website intent data. Tracks which accounts are visiting your website and competitor websites.
Typical pricing: $500-5000 monthly depending on monthly event volume.
What's included: Website visitor identification, engagement tracking, integrations.
Best for: Companies focused on owned, first-party intent.
---Pricing by Company Size
Here's what different-sized companies typically pay for intent data:
Early-stage (Series A, under $10M ARR): - Budget: $10K-20K annually - Usually: Bombora or Terminus lower tier, or built from first-party signals - Rationale: Small database, proof-of-concept phase
Growth-stage (Series B, $10M-30M ARR): - Budget: $25K-50K annually - Usually: 6sense, Demandbase lower tier, or Terminus mid-tier - Rationale: Larger database, want comprehensive intent, scaling ABM
Scale-stage (Series C+, $30M+ ARR): - Budget: $50K-150K annually - Usually: 6sense, Demandbase, or multiple platforms - Rationale: Large database, multiple verticals, want depth and specialization
Intent Data vs ABM Platform Bundling
Intent data is rarely sold standalone anymore. Most vendors bundle it with platform features.
Pure intent data platforms: - Bombora (focus on intent data, you integrate elsewhere) - LinkedIn Sales Navigator (intent signals, no platform)
Intent + Platform bundles: - 6sense (intent plus orchestration platform) - Demandbase (intent plus full ABM suite) - Terminus (intent plus mid-market ABM platform) - RollWorks (ABM platform, you buy intent separately)
If you're buying intent data, you're typically buying a platform that uses it. Very few companies buy pure intent data anymore without a platform to operationalize it.
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See the demo →Hidden Costs to Budget
Beyond licensing:
Professional services: Most vendors include basic implementation. Full strategy work costs $10K-30K.
Data enrichment: Some vendors charge for enriching your target account list with additional data fields.
Overage fees: If you exceed your licensed account database size, you pay per extra account.
Integrations: Custom integrations beyond native connectors can cost $2K-10K per integration.
Training: Budget 20-40 hours for your team to learn the tool.
---ROI Calculation: Does Intent Data Pay for Itself?
A simple framework:
- Current win rate: What percentage of prospects you contact currently become customers?
- Expected lift from intent data: Most companies see 2-3x improvement in response rates when they add intent to their targeting.
- Deals per year affected: How many deals would you close annually with better targeting?
- Deal value: What's your average ACV?
Example: - Current: 100 contacts per month, 2% conversion = 24 customers/year at $100K ACV = $2.4M revenue - With intent data: 100 contacts per month, 6% conversion (3x lift) = 72 customers/year = $7.2M revenue - Lift: 48 additional customers at $100K each = $4.8M incremental revenue - Intent data cost: $50K/year - ROI: $4.8M revenue lift / $50K cost = 96x
Reality is messier (harder to attribute exactly, longer sales cycles, smaller lifts for some teams), but the pattern holds: if your ACV is above $50K and your sales team is using intent data actively, ROI is positive.
For smaller ACV businesses ($10K-30K), the math gets tighter. You need to close more deals to justify the spend.
Negotiating Intent Data Pricing
Intent data is negotiable. Levers:
Contract length: Offer to sign 2-3 years for 20-25% discount. Vendors love predictable contracts.
Volume: If you're committing to a larger account database, negotiate a better per-account rate.
Bundling: If you're buying multiple products from the same vendor, bundle deals are common.
Timing: Q4 is better for negotiating discounts. Sales teams want to close budget.
Competitive benchmarking: Tell vendors you're evaluating competitors. They'll often match offers.
Most companies have 20-30% negotiating room. It's worth the conversation.
The Bottom Line
Intent data typically costs $20K-75K annually for mid-market companies. That's bundled with platform features, so you're not buying data in isolation.
The real question isn't "Is intent data too expensive?" It's "Will using intent data improve our conversion rate enough to justify the cost?"
For companies with $100K+ ACV and 15+ person sales teams, the answer is almost always yes. For smaller companies, the math is tighter but still often positive.
Start with a smaller contract. Prove the ROI. Then scale.
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