B2B Intent Data Providers: Comparison Guide [2026]
Side-by-side comparison of Bombora, 6sense, Demandbase, ZoomInfo, TechTarget, G2 Buyer Intent & more. Pricing, data types, accuracy, and who each is actually built for.
IntentGPT Team
There are roughly a dozen credible intent data providers, and most comparison pages list them in the same order with the same feature checkmarks. This guide does something different: it explains the underlying data methodology for each platform, names the specific use cases each is actually built for, and — just as importantly — tells you which companies should not buy each one.
The short version: Bombora is the default for top-of-funnel account discovery with the most coverage breadth. Demandbase and 6sense are full ABM suites where intent is one layer, not the product. TechTarget Priority Engine is the right answer for technology vendors selling to IT buyers who read trade media. G2 Buyer Intent is highly specific and high-confidence for software vendors. ZoomInfo Intent is convenient if you are already in their ecosystem but underperforms as a standalone intent product. IntentGPT differentiates on AI-enriched contact-level signal interpretation.
At a Glance: Provider Comparison Matrix
| Provider | Data Type | Signal Level | Network/Source | Best For | Typical Annual Cost | Standalone or Suite? |
|---|---|---|---|---|---|---|
| Bombora | Third-party topical | Account | 5,000+ B2B publisher co-op | Top-of-funnel ICP discovery; broad category coverage | $30,000–$80,000/year | Standalone data layer (also embedded in 6sense, Demandbase, others) |
| Demandbase | First + third hybrid | Account + contact | Proprietary ad network + Bombora partnership | Enterprise ABM programs with dedicated ops | $50,000–$120,000+/year | Full ABM suite |
| 6sense | AI-predicted (first + third) | Account (buying stage) | Proprietary + Bombora + crawl data | Teams wanting buying-stage prediction (Awareness/Consideration/Decision) | $40,000–$100,000+/year | Full ABM suite |
| TechTarget Priority Engine | Second-party media | Account + contact | TechTarget editorial audience (30M+ registered technology buyers) | Technology vendors targeting IT decision-makers | $30,000–$60,000/year | Standalone + content syndication bundle |
| G2 Buyer Intent | Second-party review platform | Account + contact (G2 users) | G2.com review and category pages | Software vendors with G2 profiles targeting active evaluators | $5,000–$20,000/year | Standalone add-on (requires G2 seller subscription) |
| ZoomInfo Intent | Third-party (bundled) | Account | Bombora-powered via partnership | ZoomInfo customers wanting one-vendor simplicity | $15,000–$40,000/year add-on | Add-on to ZoomInfo database subscription |
| IntentGPT | AI-enriched first + third | Contact-level (buying committee mapping) | First-party ingestion + third-party signal layer + LLM enrichment | Teams needing contact-level intent with role-based routing | See intentgpt.ai/pricing for current tiers | Standalone platform |
Provider Deep-Dives
Bombora Company Surge®
Bombora is the market infrastructure layer for third-party B2B intent data. A significant portion of the intent data in other platforms — including Demandbase and ZoomInfo Intent — is Bombora data licensed and re-sold under their brand. When you buy Bombora directly, you get the original signal without the platform markup.
How it works: Bombora operates a consent-based co-op of 5,000+ B2B publisher sites that share anonymized topic consumption data. When an account's content consumption on a topic spikes above its historical baseline, Bombora flags a "Company Surge." The score is 0–100; scores above 60 are generally treated as actionable.
What it does well: Breadth. Bombora covers more topics and more company segments than any other third-party provider because of the co-op model. If you need to find in-market accounts you have never heard of, Bombora is the right starting point.
The real limitation: Bombora's base product is account-level only. You get the company name and the topic, not the specific contacts doing the research. Contact-level resolution requires layering Bombora with a contact data provider. After third-party cookie deprecation, Bombora's identity resolution methodology shifted to a panel-based and probabilistic approach — accuracy varies for smaller companies and non-English-language markets.
Do not buy Bombora if: Your ICP is primarily SMBs with under 50 employees, you are in a niche vertical not well-covered by B2B publishing, or you need contact-level data as the core deliverable (buy a contact-resolved product instead).
Refresh frequency: Weekly surge score updates as standard; some segments daily.
Demandbase One
Demandbase positions itself as an account-based experience (ABX) platform, not purely an intent data vendor. Intent is one of six or seven capability modules within the suite, alongside advertising, website personalization, sales intelligence, and pipeline analytics.
How it works: Demandbase layers its proprietary advertising network data (ad impressions served to target accounts) with Bombora's co-op data and its own first-party customer behavioral tracking. The net result is an intent signal that is supposedly richer than Bombora alone because it includes ad engagement signals, not just content consumption.
What it does well: Enterprise-grade data orchestration. If your revenue team is running coordinated plays across marketing, sales, and customer success — and you have someone to manage the platform full-time — Demandbase is the most coherent end-to-end environment for ABM at scale.
The real limitation: Complexity and cost. Demandbase requires dedicated RevOps or marketing ops capacity to get value from it. Teams that buy the full suite but only use the intent module are overpaying significantly. Onboarding typically takes 60–90 days for full deployment. The intent layer itself is powered largely by Bombora — if you only need intent data and already have an ABM workflow, buying Bombora directly is cheaper.
Do not buy Demandbase if: You are under $10M ARR or your sales team is fewer than 10 reps. You do not have a dedicated marketing ops or RevOps resource. You need to see ROI in under 90 days.
Refresh frequency: Daily intent score refresh for active accounts.
6sense Revenue AI
6sense differentiates on buying stage prediction — the platform attempts to classify each target account into one of four stages: Awareness, Consideration, Decision, or Purchase. The underlying logic uses a machine learning model trained on historical deal data to predict where in the buying cycle an account sits based on intent signals.
How it works: 6sense combines its own web crawl data, Bombora co-op data, G2 signals, CRM historical data, and first-party behavioral data into a unified account score. The "Buying Stage" model is the flagship differentiator — if it works for your product category, it tells reps not just that an account is in-market, but how far into the decision process they are.
What it does well: Revenue team alignment. 6sense's dashboard is built for cross-functional visibility — marketing, SDRs, AEs, and CS managers can all access a unified view of account signals. The buying stage model, when the training data is sufficient, is genuinely useful for rep prioritization and outreach personalization.
The real limitation: The buying stage model is a black box. 6sense does not expose the underlying signal logic, making it difficult to audit false positives or understand why a specific account is classified at a given stage. For teams with strong data cultures, the inability to interrogate the model is a significant frustration.
Also worth knowing: like Demandbase, 6sense is a full-suite ABM platform. The entry-level product tier has limited intent functionality; full buying stage prediction requires the higher-tier contracts.
Do not buy 6sense if: You want to understand the signal logic driving recommendations, you need a standalone intent data layer (not a full ABM suite), or you are not prepared to commit 3–6 months of onboarding and configuration time.
Refresh frequency: Real-time for first-party signals; daily for third-party intent.
TechTarget Priority Engine
TechTarget occupies a unique position: its intent data is second-party data derived from its own editorial audience — the readers of its 150+ B2B technology media properties. When an IT decision-maker at a company reads multiple articles about cloud security on TechTarget properties, that company receives a Priority Engine score for that topic.
How it works: TechTarget tracks registered reader behavior on its media network. Because readers register by name and company, the identity resolution is deterministic — TechTarget knows who read what, not just which company. This makes Priority Engine contact-level intent data, not just account-level.
What it does well: Signal quality for the IT buyer audience. If you sell to CIOs, IT directors, security architects, or infrastructure engineers, TechTarget's audience is your audience. The deterministic contact-level data is significantly more reliable than probabilistic alternatives for identifying the actual individual consuming research content.
The real limitation: Vertical specificity is a double-edged sword. TechTarget's audience is technology professionals — it does not have meaningful coverage of finance, healthcare administration, legal, HR, or operations buyers. If your ICP includes non-technical buyers, Priority Engine leaves significant gaps.
Additionally, TechTarget's intent data is tied to its editorial properties. An account researching your topic on Gartner, IDC, or general business media does not appear in Priority Engine. Coverage is deep but bounded.
Do not buy TechTarget Priority Engine if: Your buyers are not IT or technology professionals, your product category is not covered by TechTarget editorial (check their topic coverage before signing), or you need broad coverage across industries rather than depth within a single vertical.
Refresh frequency: Weekly Priority Engine score updates; active reader signals captured in real-time.
G2 Buyer Intent
G2 Buyer Intent is the most signal-specific intent product available for software companies: it tells you when a real person visited your G2 category page, your competitor's G2 profile, or a comparison page between you and a named competitor.
How it works: G2 captures the session behavior of its registered users — companies and individuals who have created accounts on G2 to read reviews. When a G2 user visits your category page or compares your product to a competitor, that session data is passed to your Buyer Intent feed with the visitor's company (and in some cases, the specific contact if they are a G2 registered user).
What it does well: Precision. A G2 Buyer Intent signal is not "this company is researching security software" — it is "this company visited the endpoint security category page and then viewed Crowdstrike's profile and your profile on the same day." That is late-stage evaluation intelligence that third-party topical data cannot produce.
The real limitation: Volume. G2's coverage is limited to its registered user base and to accounts actively comparing software on G2. Many buying decisions — especially for enterprise deals involving buyers who do not use G2 personally — generate no G2 signal at all. For high-ACV enterprise deals, G2 Buyer Intent should be a complement to a third-party provider, not a replacement.
G2 Buyer Intent also requires a G2 seller profile at a tier that includes Buyer Intent access — the base listing tier does not include it. G2 Enhanced or Enterprise seller plans are required for Buyer Intent access.
Do not buy G2 Buyer Intent if: Your average deal size is above $150K (enterprise buyers rarely compare options on G2), your product category has thin G2 coverage (check review volume for your category), or you are in a non-software vertical.
Refresh frequency: Daily Buyer Intent updates.
ZoomInfo Intent (Powered by Bombora)
ZoomInfo Intent is Bombora's Company Surge data licensed and resurfaced inside the ZoomInfo platform. The data is equivalent to a direct Bombora subscription, with two important differences: it is only accessible through ZoomInfo's interface, and it costs more per unit of data than buying Bombora directly.
What it does well: Convenience. If your team is already operating heavily in ZoomInfo — using it for contact data, company research, and prospecting — having intent signals in the same interface reduces tool switching and simplifies data management. For teams that do not want to manage a separate vendor relationship, ZoomInfo Intent is the path of least resistance.
The real limitation: You are paying a platform premium for data you could access more affordably at source. ZoomInfo's core value is contact and company data; intent is a bolt-on, not a differentiator. Teams that are serious about intent-driven GTM typically outgrow ZoomInfo Intent and migrate to a dedicated intent platform within 12–18 months.
Do not buy ZoomInfo Intent if: You do not have an existing ZoomInfo subscription (the per-unit cost is not competitive as a standalone purchase), or intent data is a primary GTM lever rather than an occasional supplement.
How to Run a Head-to-Head Evaluation: 6 Questions for Every Vendor
Before signing any intent data contract, get written answers to these six questions. Vague answers to any of them are a red flag.
Question 1: What is your post-third-party-cookie identity resolution methodology? Chrome's third-party cookie removal is complete. Every vendor now relies on deterministic identifiers (login data, email hashes), first-party cookies, probabilistic modeling, or some combination. Ask specifically: what percentage of your signals are deterministically resolved vs. probabilistically inferred?
Question 2: What is the refresh frequency for intent scores in my specific segment? "Daily updates" often means the most popular topics update daily; niche topics update weekly. Ask for the refresh frequency specifically for your top five target topics and your ICP geography.
Question 3: What percentage of our ICP accounts have intent signal coverage? Give the vendor a list of 500 named accounts from your ICP. Ask: how many of these accounts have generated at least one intent signal in the past 90 days? Coverage below 40% in your ICP means the product will not generate enough alerts to matter.
Question 4: How do you handle GDPR consent for EU-domiciled data subjects? Ask for the specific consent mechanism — explicit opt-in, legitimate interest under Article 6(1)(f), or other basis. Ask for their Data Processing Agreement. If they cannot provide a clear answer within 24 hours, escalate to your legal team before proceeding.
Question 5: Can we run a 30-day pilot against a closed-won account list? A legitimate vendor will say yes. Give them 100 accounts you closed in the past 12 months and ask: which of these appeared as high-intent in the 90 days before they signed? This is the best real-world accuracy test available.
Question 6: What integrations are supported, and how long does implementation take? Ask for a specific list of CRM and MAP integrations (not "we integrate with Salesforce" — ask whether it is a native integration, a Zapier connector, or a CSV export). Ask for the median time from contract signing to first live signal in their last 10 implementations.
Pricing Benchmarks: What to Expect in 2026
The intent data market has two pricing structures: flat annual SaaS fees and usage-based pricing (by number of accounts monitored or topics tracked). Here is what you should expect to pay at each stage:
| Stage | Annual Budget | Right Vendor Profile | What You Get |
|---|---|---|---|
| Testing intent data for the first time | $5,000–$20,000/year | G2 Buyer Intent, basic visitor identification tools | High-confidence signals for a narrow source; proves the concept |
| Scaling a dedicated intent program | $30,000–$80,000/year | Bombora direct, TechTarget Priority Engine | Broad account coverage; dedicated account rep; CRM integrations included |
| Full ABM suite with intent as one layer | $50,000–$150,000+/year | Demandbase, 6sense | Intent + advertising + personalization + analytics in one platform; requires dedicated ops |
| Contact-level AI-enriched intent | See intentgpt.ai/pricing for current tiers | IntentGPT | Contact-level buying committee signals with role-based enrichment; AI interpretation layer |
The negotiation reality: Most intent data vendors have significant price flexibility at contract renewal and for multi-year deals. Annual contracts signed in Q4 typically come with steeper discounts than Q1–Q3 signings as vendors close fiscal year quotas.
When None of These Providers Is the Right Answer
Before committing to any third-party intent data vendor, ask honestly whether you have the first-party intent infrastructure in place to use the signals effectively.
If you cannot answer yes to all four of these questions, fix your first-party setup before buying third-party data:
- Do your high-intent website pages (pricing, demo, comparison) fire CRM events when a known contact visits them?
- Does your CRM route a rep task within 24 hours when a contact hits your intent threshold?
- Do you have intent-specific messaging sequences that differ from your standard cold outreach?
- Can you report, at a rep level, what percentage of intent-triggered outreach converts to meetings?
If the answer to any of these is no, you will buy intent data, receive signals, and have no systematic way to act on them. The problem is not the data — it is the infrastructure. See the first-party intent data setup guide before investing in a third-party provider.
Frequently Asked Questions
Is Bombora or 6sense better for B2B intent data?
They are not direct substitutes — they solve different problems. Bombora is a data layer focused on topical account-level intent signals with broad coverage. 6sense is a full ABM suite where intent is one module among many. If you want intent data and already have an ABM workflow, Bombora direct is typically more cost-effective. If you want an integrated platform that combines intent, advertising, pipeline analytics, and sales intelligence in one interface and you have the budget and ops capacity, 6sense is a more complete solution. Many enterprise teams use both: Bombora's signal embedded within 6sense or Demandbase.
How accurate is third-party intent data after cookie deprecation?
Third-party cookie removal by Chrome in 2024 has materially changed how all third-party intent vendors resolve identity. The honest answer is that accuracy has decreased for probabilistically-resolved signals and remained stable for deterministically-resolved signals (those using first-party cookies, login data, or email hashing). Vendors with larger first-party registration databases — TechTarget, G2 — were less affected than pure co-op aggregators. Evaluate accuracy by running the closed-won account pilot test described in the evaluation framework above — do not rely on vendor-stated accuracy claims.
What is the difference between Demandbase and 6sense?
Both are enterprise ABM suites with intent data as one component. The core difference is in the intent methodology: Demandbase layers ad impression data (from its proprietary B2B advertising network) with Bombora co-op data for its intent signal. 6sense uses a predictive AI model to classify accounts into buying stages based on aggregated intent signals. Demandbase's intent tends to be more transparent about signal sourcing; 6sense's buying stage model provides a higher-level abstraction that is more actionable for reps but less auditable. Choose Demandbase if your team wants signal transparency; choose 6sense if your team prefers a prioritized action layer without needing to understand the underlying model.
Can I use multiple intent data providers simultaneously?
Yes, and many mature intent programs do. The most common stack is a broad third-party provider (Bombora) for top-of-funnel account discovery, a specific second-party source (G2 Buyer Intent or TechTarget) for high-confidence evaluation-stage signals, and first-party instrumentation for late-stage behavioral tracking. Using multiple providers requires deduplication logic in your CRM to avoid flagging the same account from three sources as three separate triggers. IntentGPT and Demandbase both support multi-source signal ingestion with deduplication built in.
What is a realistic ROI expectation from a $50,000/year intent data investment?
Assume a $50,000/year investment at a company with a $40,000 ACV and a current SQL-to-close rate of 22%. To break even, the intent program needs to generate approximately 57 incremental closed deals annually. At 10–12 closed deals per rep per year, that is about 5 reps' additional closed business driven by intent. Mature intent programs at mid-market companies typically report 15–25% pipeline velocity improvement and 8–15 percentage point improvement in SQL-to-close rate. Use those ranges to model your specific break-even.
Related Guides
- B2B Intent Data: The Complete Guide — Hub page: all signal types, ROI benchmarks, full market overview
- First-Party Intent Data Setup — Build your first-party foundation before buying third-party data
- Intent Data for SDRs: Playbook — How to operationalize intent signals in your outbound motion
- IntentGPT Platform Overview — How IntentGPT combines first- and third-party signals with AI enrichment
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