- Buyer intent data is behavioral signal collected from digital sources suggesting a company is actively researching a purchase in a given category. The three platforms most commonly evaluated at enterprise tier — 6sense, Bombora, and Demandbase — collect it in meaningfully different ways.
- Bombora operates a co-op publisher network of more than 5,000 B2B websites and measures elevated topic research activity at the account level. Its data is integrated into both 6sense and Demandbase as a component of their intent scoring.
- 6sense is a full ABM platform combining first-party, second-party, and third-party signals into a predictive buying stage model. Demandbase combines intent data with technographic and firmographic intelligence for account-based programs.
- Accuracy is the category’s most important honest conversation. Approximately 52% of sales professionals report frequent false positives. IP misattribution, non-purchase research activity, and single-employee signals triggering account-level scores all contribute.
- Intent data answers one question well: which accounts appear to be actively researching a category right now. It does not tell you what those buyers understood from that research, or where confident misunderstanding has formed within an active buying committee.
- The most reliable intent data use case is prioritization and outreach timing. Once an account is in active evaluation, comprehension quality is a different question that intent data was not built to answer.
Buyer intent data is one of the most widely adopted and most frequently misunderstood categories in B2B sales and marketing. This article explains what it is, how the three leading platforms collect it differently, what accuracy challenges apply across the category, and what intent data can and cannot tell you when evaluating whether to invest.
What Buyer Intent Data Is
Buyer intent data is behavioral signal collected from digital sources that suggests a company or individual is actively researching a purchase in a given category. The underlying premise is straightforward: when an organization’s employees start consuming content about a specific topic at elevated frequency, reviewing vendors on comparison platforms, or visiting competitor websites, that pattern indicates the organization may be in an active buying cycle.
Intent platforms aggregate these signals and surface them as account-level scores or alerts, enabling sales and marketing teams to prioritize outreach toward accounts that appear to be in-market rather than distributing effort uniformly across the total addressable market. Done well, this reduces wasted prospecting cycles and improves the timing of outreach relative to where the buyer is in their evaluation process.
The intent data market has grown significantly. The category is expected to exceed $4 billion by 2027, and the three platforms most commonly evaluated at the enterprise tier — 6sense, Bombora, and Demandbase — each take meaningfully different approaches to signal collection and scoring.
How 6sense, Bombora, and Demandbase Collect Intent Data
Understanding the methodology differences between platforms matters because it directly affects what the data is telling you and how much confidence to place in any given signal.
Bombora operates a cooperative publisher network of more than 5,000 B2B websites. When a business professional consumes content on a participating site, that activity is aggregated at the account level and mapped to a library of over 12,000 topic clusters. Bombora’s Company Surge product measures elevated research activity on a given topic over the prior three weeks relative to the baseline level over the previous twelve months. Because the signal is derived from actual content consumption across a large network of participating publishers, it is among the most widely referenced third-party intent data sources in the market. Multiple competing platforms, including 6sense and Demandbase, integrate Bombora data as a component of their own intent scoring. The limitation is that the signal is anonymous at the individual level and is subject to the coverage and accuracy constraints of IP-to-company matching.
6sense is a full account-based marketing platform in which intent data is one component of a broader predictive intelligence model. 6sense pulls from three data layers: first-party signals from your own website and CRM, second-party signals from review and research platforms including G2 and TrustRadius, and third-party signals from the broader web including Bombora co-op data. These signals feed a predictive model that scores accounts on buying stage, ranging from awareness through decision. The platform also includes built-in advertising and orchestration capabilities. The practical implication is that 6sense is a more substantial operational commitment than a standalone intent data subscription, and the value scales with the team’s ability to activate across the full platform.
Demandbase combines intent data with technographic and firmographic intelligence to produce account scoring with more company-level context than intent signal alone. Its intent data incorporates web activity, advertising signals, and third-party content consumption data, scored against a target account list. Demandbase is particularly strong for teams running account-based programs where the combination of technology stack data and intent signal is more valuable than intent signal in isolation. Like 6sense, it is positioned as a full ABM platform rather than a point solution.
Accuracy: What to Expect Honestly
Intent data is directional, not definitive. That distinction matters more than most vendor materials acknowledge, and understanding it before committing budget is the most important preparation for any intent data evaluation.
False positive rates are a consistent practical challenge. Across practitioner surveys, approximately 52% of sales professionals report frequent false positives from intent data: accounts flagged as high-intent that, when contacted, show no awareness of a purchase cycle. Several structural factors contribute to this. A topic surge can be triggered by content creation activity, competitive research, or general educational consumption rather than active vendor evaluation. IP misattribution, where activity from remote workers, VPN users, or shared network addresses is incorrectly assigned to a company, affects a meaningful proportion of third-party intent signals. And at the account level, a single employee consuming research content can generate a company-level intent signal that does not reflect an organizational buying motion.
Platform-specific intent, such as activity on G2 or TrustRadius where buyers are explicitly comparing vendors, is generally more accurate than topic-level third-party intent because the behavior is more unambiguously purchase-related. First-party signals (pricing page visits, demo requests, and direct content engagement on your own site) are the most reliable because they involve identified accounts taking explicit action. Third-party co-op intent is the broadest in coverage but the noisiest in signal quality.
The ROI gap in the category reflects this accuracy challenge. Adoption is high: the majority of B2B marketing organizations use some form of intent data for account prioritization. Exceptional ROI is reported by a much smaller proportion, typically those with the operational infrastructure to validate intent signals against first-party data before routing to sales, and to act on high-priority signals quickly before they decay.
What Intent Data Cannot Tell You
Intent data answers one question well: which accounts appear to be actively researching a category right now. That is a genuinely useful signal for prioritizing prospecting and timing outreach. It is not the same question as which accounts are evaluating your specific solution, how accurately those accounts understand what you offer, or whether the buyers within an in-market account are forming the right conclusions from their research.
An account flagged as high-intent by Bombora or 6sense is an account where someone has been consuming relevant content. What they understood from that content, whether they formed accurate impressions or confident misunderstandings of your category and your solution, whether the decision-makers inside that account are aligned or divergent in their views, is entirely outside what intent signal captures.
This distinction matters most during active evaluation. Intent data is most valuable for identifying which accounts to pursue and when to reach out. Once an account is in active evaluation, the question shifts from in-market likelihood to comprehension quality: what does each member of this buying committee actually understand about our solution, and where are the understanding gaps that are most likely to stall the deal? That is a different signal from a different layer of the stack. For more on what that signal layer is and what it reveals about in-evaluation buyers, see What Is Buyer Intent Data and Why Most of It Is the Wrong Signal.
Frequently Asked Questions
Is Bombora the same as third-party intent data?
Bombora is the most widely used third-party intent data provider and is integrated into many other platforms including 6sense and Demandbase. Third-party intent data as a category is broader: it includes any intent signal collected from sources other than your own website or direct partnerships. Bombora’s co-op model is the dominant source for topic-level third-party intent, but platforms also incorporate signals from advertising networks, content syndication platforms, and other external sources.
How quickly do intent signals decay?
Intent signals have a short useful life. A high-priority signal that is not acted on within 24 to 48 hours loses most of its value, because the account’s research activity may have moved forward or the individual researcher may have shifted focus. Bombora’s Company Surge product measures elevated activity over a three-week window, which provides more durability than real-time signals, but the actionable window for outreach is still short. Teams that cannot operationalize fast outreach on high-priority signals typically see lower intent data ROI than teams with a tight signal-to-outreach workflow.
Does 6sense require a full ABM implementation to get value?
6sense is a full ABM platform and the intent data capability is integrated into that broader system. Teams evaluating 6sense primarily for intent data are buying significantly more platform than they need. For teams that want intent data as a standalone signal integrated into their existing stack, Bombora is typically the more proportionate investment. For teams that want intent data as part of a broader account-based orchestration system including scoring, advertising, and workflow automation, 6sense’s integrated approach produces compounding value.
How do you reduce false positives from intent data?
The most effective approach is layering: treat third-party intent signals as a prioritization filter rather than a qualification signal, and validate against first-party data before routing to sales. An account surging on a relevant Bombora topic that has also visited your pricing page and engaged with a campaign email is a materially stronger signal than a topic surge alone. Platforms that combine first-party, second-party, and third-party signals (as 6sense and Demandbase do) reduce false positive rates relative to pure third-party intent data, at the cost of greater platform complexity and investment.
What is the typical investment for these platforms?
Bombora typically starts around $20,000 to $30,000 per year for a Company Surge subscription, with pricing scaling based on topic coverage and account volume. 6sense and Demandbase are full ABM platforms with pricing typically starting at $50,000 per year and scaling significantly for larger organizations. All three require operational investment beyond the license cost: time to configure, integrate with CRM and marketing automation, and build the internal workflows to act on signals consistently. Exact pricing changes frequently and should be confirmed directly with vendors before any purchase decision.
What is the bottom line on buyer intent data?
Buyer intent data from platforms like 6sense, Bombora, and Demandbase provides genuine value for account prioritization and timing of outreach. The value is most reliable when first-party signals validate third-party intent, when outreach is fast enough to catch signals before they decay, and when teams maintain realistic expectations about false positive rates in third-party topic-level data. Intent data tells you who appears to be in-market. It does not tell you what those buyers understand about your solution, how accurately their impressions were formed, or where comprehension gaps exist within an active buying committee. Those are different questions that intent data was not built to answer.