2024 data shows B2B buyers complete up to 80% of their journey anonymously. This analysis explores how many buyers show intent and its impact on sales.

According to 2024 research from Gartner, B2B buyers spend only 17% of their purchasing time meeting with vendors, completing the other 83% of their journey independently. A separate 2024 study from 6sense found that 81% of buyers have already selected their preferred vendor before initiating contact with sales. These findings underscore that the majority of B2B purchase intent is demonstrated through anonymous online research, long before a buyer fills out a form or speaks to a representative.

TL;DR

Gartner's 2024 data reveals B2B buyers spend only 17% of their time meeting with potential suppliers.
A 2024 6sense report found that 81% of B2B buyers have already chosen a preferred vendor before first contact with sales.
A Forrester study of Bombora users showed intent data drove a 342% ROI and 18% higher conversion rates.
The average B2B buying committee now consists of 6 to 10 people, according to 2024 Gartner research.
Forrester estimates that 70-80% of the B2B evaluation process happens in the 'dark funnel,' invisible to marketing analytics.

The Anonymous Majority: 83% of the B2B Journey is Self-Service

The B2B buying journey is overwhelmingly a solo expedition, with buyers dedicating the vast majority of their time to independent activities rather than direct vendor interaction. Research from Gartner in 2024 reveals that a mere 17% of the total purchasing process is spent meeting with potential suppliers, leaving 83% of the journey to self-directed research, internal meetings, and offline discussions. [1, 18] This marks a significant evolution in buyer behavior, underscoring a clear and growing preference for autonomous discovery. The self-directed portion of the journey has expanded dramatically over the past decade, climbing from 57% in 2015, according to data from CEB, which is now part of Gartner. [2, 3] This trend indicates that for most of the evaluation process, from problem identification to solution exploration, buyers are navigating a complex information landscape on their own. They are consuming content, comparing features, and forming strong opinions long before a sales representative is ever aware of their interest, making the quality and accessibility of digital content more critical than ever.

Further validating this shift towards independent evaluation, data from the 6sense 2024 Buyer Experience Report shows that buyers are nearly 70% of the way through their purchasing process before they initiate contact with a seller. [4, 6] This comprehensive study, which surveyed global B2B buyers, highlights that the anonymous research phase is now the primary decision-making stage. [7] By the time a buyer fills out a form or picks up the phone, they have already invested significant effort, with the report finding that 81% of buyers have already selected a preferred vendor at the time of first contact. [4, 7] This means that the winning vendor is often decided before the official sales process even begins. The average B2B buying cycle, lasting 11.3 months and involving an average of 11 people, is largely conducted within what is often called the 'dark funnel,' where buyer activities and intent signals are invisible to traditional sales and marketing platforms. [4, 7]

This pronounced move toward self-service is not a passive trend but an active preference for a digital-first and rep-free experience. According to Gartner data, 75% of B2B buyers state they would rather make a complex purchase digitally than through a traditional sales process. [2, 14] This preference is not just about convenience; it is about control. Buyers want to dictate the pace and direction of their own research, avoiding sales pressure until they have thoroughly evaluated their options and are prepared for a specific, value-added conversation. Another Gartner survey conducted between August and September 2024, involving 632 B2B buyers, found that 61% prefer an overall rep-free buying experience. [15] This reality forces a strategic pivot for vendors, shifting the focus from direct selling to enabling independent discovery through comprehensive digital resources, transparent information, and tools that help buyers make informed decisions on their own terms.

How Many Buyers Show Intent? A Look at Pre-Contact Decisions

The initial phases of the B2B buying journey are overwhelmingly defined by independent research and early decision-making, long before any direct sales engagement occurs. According to the 6sense 2024 Buyer Experience Report, a comprehensive study based on survey data from 2,509 recent B2B buyers, a staggering 81% of buyers have already selected a preferred vendor before their first contact with a sales representative. [1, 3, 7] This finding fundamentally reframes the role of anonymous research, shifting it from a passive information-gathering stage to the primary decision-making phase. The data indicates that by the time a buyer fills out a form or agrees to a meeting, they are not just exploring options; they are often seeking validation for a choice already made. This preference is formed through a variety of digital touchpoints, peer conversations, and prior experiences with brands. For revenue teams, this means that influencing the deal requires winning awareness and establishing preference during this critical, unobserved period. Traditional demand generation focused on capturing late-stage hand-raisers is insufficient, as the competitive landscape has already been largely settled by the time that contact is made.

Buyer autonomy now dictates the terms and timing of sales engagement, with data showing that prospects are firmly in control of when, how, and with whom they interact. The same 2024 Buyer Experience Report from 6sense reveals that buyers initiate first contact with sellers more than 80% of the time. [2, 7] Furthermore, 85% of these buyers have already established most of their purchase requirements before this initial outreach. [2, 3] This behavior demonstrates a clear preference for a self-directed journey where sellers are brought in for validation, not for foundational education. Corroborating this trend, Gartner research shows B2B buyers spend only 17% of their total purchasing time meeting with potential suppliers. [4, 5] The implication is clear: outbound sales motions that attempt to force a conversation before the buyer is ready are unlikely to succeed. Instead, marketing and sales strategies must align with this reality, focusing on providing accessible, high-value information that helps buyers define their own requirements and builds trust long before a formal conversation begins. The power has decisively shifted from the seller to a well-informed, proactive buying group.

The culmination of these trends is that the most pivotal moments of intent happen in anonymous channels, making the ability to interpret pre-contact signals a critical capability. With 81% of buyers forming a preference and 85% defining requirements before speaking to sales, the vast majority of the decision is shaped by digital footprints left across the web. [1, 2] This anonymous research phase, which Gartner notes accounts for the 83% of the buying journey spent independently, is where vendor shortlists are created and refined. [4] This reality necessitates a strategic shift towards identifying and influencing buyers during their self-guided research. Platforms like Bombora with its Company Surge® data or the capabilities within the 6sense Revenue AI™ platform are designed specifically to address this challenge by analyzing web-wide content consumption to identify accounts showing heightened interest in specific topics. By leveraging such intent data, organizations can move beyond waiting for form-fills and instead proactively engage the right accounts with relevant messaging while preferences are still being formed, effectively gaining visibility into the most decisive phase of the modern B2B journey.

Quantifying the Impact: Conversion Lift from Intent Data

Deploying third-party intent data yields a substantial and quantifiable return on investment, primarily through accelerated sales cycles and improved conversion rates. A landmark 2022 Forrester Total Economic Impact™ (TEI) study commissioned by Bombora provides a clear financial model for this impact. The study, which centered on a composite B2B financial services organization, found that integrating Bombora's intent data led to an 18% increase in conversion rates and a 30% boost in sales velocity. [4] Methodologically, Forrester tracked the composite organization over three years, attributing these gains to the ability to prioritize in-market accounts and tailor outreach based on observed research behavior. [1] This strategic focus on accounts demonstrating active interest allowed the organization to close more deals in the same amount of time without increasing headcount. The financial culmination of these improvements was a risk-adjusted ROI of 342%, representing a net present value of $4.2 million from total benefits of $5.4 million over the three-year period. [1] These results underscore the direct line between leveraging intent signals and achieving significant, measurable financial outcomes.

Different intent data providers and methodologies report a wide spectrum of conversion improvements, reflecting the various ways this data can be activated. Bombora, a prominent vendor in the space, states that marketing teams using its Company Surge® product can achieve conversion rate increases of up to 70%. [12] This higher-end figure often results from tightly integrated campaigns where intent signals inform multiple channels, from digital advertising to sales outreach. Another case study involving a global financial services business highlighted a conversion rate four times higher than cold leads after implementing Bombora's data to create a pipeline of warm prospects. [7] Beyond a single vendor, broader industry research validates this trend. A 2024 B2B buying study found that accounts prioritized using intent signals converted to closed opportunities at a rate of 21.3%, a stark contrast to the 8.4% conversion rate for non-prioritized accounts. [3] This demonstrates a nearly threefold increase in effectiveness, confirming that the core value proposition of intent data, which is focusing resources on active buyers, holds true across different platforms and studies.

The positive impact on lead conversion is not confined to a few high-performing outliers; it is a widespread benefit reported by a majority of B2B organizations. According to the DemandScience "Intent Data Trends Survey: 2022 Edition," which surveyed over 600 B2B sales and marketing professionals, 57% of teams see a lead conversion rate increase of at least 40% after adopting intent data. [2, 6] An earlier 2022 report from DemandScience, which surveyed sales leaders, found that 55% saw an increase in lead conversions, attributing it to more personalized and timely outreach. [9] These figures are significant because they represent a broad cross-section of the market, not just a single company or a best-case scenario. The consistency of these findings across multiple surveys and years suggests that improved conversion is a reliable outcome of a well-executed intent data strategy. The data from a 2024 report by Intentsify further supports this, showing that high-performing teams are more likely to integrate intent data across multiple use cases, from advertising to sales prioritization, compounding the positive effects on conversion.

Source / Study	Key Metric	Reported Impact	Population / Context
Forrester TEI of Bombora (2022)	Return on Investment (ROI)	342%	Composite B2B financial services organization over three years. [1]
Forrester TEI of Bombora (2022)	Conversion Rate Lift	18% increase	Resulted in $3.3 million in profit over three years for the composite organization. [1, 4]
Forrester TEI of Bombora (2022)	Sales Velocity	30% increase	Attributed to closing more deals in the same amount of time without increasing headcount. [4]
Bombora (Self-Reported)	Conversion Rate Lift	Up to 70%	General claim for marketing teams using Bombora's intent data effectively. [12]
DemandScience Report (2022)	Lead Conversion Increase	≥40% lift for 57% of teams	Survey of 600+ B2B sales and marketing professionals. [2, 6]
2024 B2B Buying Study	Opportunity Conversion Rate	21.3% (vs. 8.4% for non-intent)	Comparison of accounts prioritized by intent vs. those not prioritized. [3]
Box Case Study (Bombora)	Conversion Rate Lift	75% increase	Resulted from using Visitor Insights to identify and engage website visitors in a key vertical. [16]

Decoding the Signals: First-Party vs. Third-Party Intent

First-party intent data provides the most reliable and actionable signals of buyer interest because it is collected directly from a company's owned digital properties. These signals include behaviors like specific page views on a corporate website, content downloads such as whitepapers or case studies, pricing page visits, and engagement with email campaigns. [6, 7] Because this data comes from direct interactions with a brand, it offers unparalleled accuracy and reflects genuine, explicit interest from a prospect or customer. [4, 20] For example, when a known contact from a target account spends several minutes on a product's technical specification page and then watches a related webinar, it creates a high-fidelity signal that sales teams can act on immediately. This type of data is foundational for late-stage pipeline acceleration and deepening engagement with accounts already in a company's ecosystem. [4] The primary limitation of first-party data is its scope; it can only provide insights on prospects who have already found and interacted with a company's brand, leaving a significant blind spot for the vast majority of potential buyers who are conducting anonymous research elsewhere on the web.

Third-party intent data is aggregated from external sources, providing a wide-angle view of topic-level interest across the internet before a buyer ever visits a specific vendor's website. [6] Providers like Bombora, in partnership with platforms such as RollWorks and 6sense, build this data from a cooperative of thousands of B2B publisher websites, research firms, and online communities. [5, 15] Using natural language processing, these platforms analyze billions of monthly content consumption events to identify when a company shows a significant increase in research around specific topics, a signal Bombora patented as Company Surge®. [10, 15] For instance, if multiple employees from a single company begin reading articles and downloading reports about "cloud data warehousing" across various publisher sites, it indicates an early-stage buying journey. [7] This allows marketing and sales teams to identify and prioritize net-new accounts that are in-market but have not yet engaged with their brand directly. A 2021 survey from RollWorks, Bombora, and Ascend2 found that 73% of B2B marketers were already using or planning to use intent data, with the top use case being the identification of new accounts to target. [24]

The strategic importance of harnessing both data types is reflected in the rapid expansion of the B2B buyer intent data tool market, which was valued at USD 3.30 billion in 2024 and is projected to reach USD 17.95 billion by 2035, growing at a compound annual growth rate of 16.65%. [3] This significant growth is driven by the increasing adoption of data-driven marketing and the critical need for sales teams to improve efficiency by focusing on accounts showing genuine purchase intent. [3, 11] While third-party data excels at top-of-funnel discovery and identifying new market opportunities, first-party data provides the granular, high-trust signals needed for effective sales outreach and conversion. [4] Modern go-to-market strategies increasingly rely on platforms that can synthesize these two streams, using third-party signals from providers like Bombora to identify which accounts are in-market and then using first-party engagement data to determine the right time and message for outreach. The most advanced organizations create a unified view, prioritizing accounts where broad, third-party topic research converges with direct, first-party interaction with their own brand assets, resolving the inherent gaps between the two sources. [4]

A foundational study by RollWorks and Bombora highlighted a significant disconnect in data utilization; while a large majority of marketers use external data sources for their go-to-market strategies, a much smaller fraction prioritize the high-fidelity signals from their own properties. This reliance on third-party signals for prospecting, while powerful for identifying new opportunities, underscores a potential gap in nurturing and converting prospects who are already showing direct interest. The most effective strategies, as implemented by platforms like RollWorks that integrate Bombora's Company Surge® data, bridge this divide. [22] They use third-party data to cast a wide, yet relevant, net to identify accounts demonstrating early buying signals across the web. Once these accounts are identified, marketing efforts are deployed to drive them to owned properties, where first-party data collection can take over. This creates a seamless journey, moving an account from anonymous research on a publisher's site to a known, engaged prospect in the CRM, allowing for precise, timely, and personalized outreach based on a complete picture of their buying intent.

Attribute	First-Party Intent Data	Third-Party Intent Data	Key Strategic Implication
Data Source	Directly from your own digital properties: website, CRM, marketing automation platform.	Aggregated from a cooperative of external B2B publisher websites, forums, and research sites. [5]	Combine sources for a complete view of the buyer's journey.
Signal Type	Explicit actions: content downloads, pricing page views, demo requests, webinar attendance. [7]	Implicit, topic-level interest: a spike in content consumption on a specific subject (e.g., "Account-Based Marketing"). [15]	Use third-party data for early awareness and first-party for late-stage qualification.
Audience Scope	Limited to known contacts and anonymous visitors already interacting with your brand.	Broad view across millions of companies, including those who do not know your brand. [10]	Leverage third-party data for net-new account discovery and territory expansion.
Data Accuracy & Timeliness	Very high accuracy and near real-time, reflecting direct engagement. [4]	Modeled and inferred, with potential latency of days or weeks; accuracy varies by provider. [4]	Trust first-party signals for immediate outreach; use third-party for directional prioritization.
Example Vendors/Tools	Google Analytics, CRM systems (e.g., Salesforce), marketing automation (e.g., HubSpot), CDPs.	Bombora (Company Surge®), 6sense, Demandbase, TechTarget. [17]	Select vendors based on integration capabilities with your existing tech stack.
Primary Use Case	Lead scoring, sales prioritization, opportunity acceleration, and customer cross-sell/upsell.	Prospecting, account prioritization for ABM, predictive analytics, and content strategy planning. [24]	Align use case with the appropriate data source to maximize ROI.

The 'Dark Funnel': Where Most B2B Decisions Are Made

A significant portion of the B2B buyer's journey now occurs in what analysts call the 'dark funnel,' a collection of channels invisible to standard marketing attribution. Research from 2025 and 2026 indicates that buyers complete between 70% and 80% of their purchasing process before ever engaging with a sales representative. [8] This majority of the journey happens across channels where vendors have limited visibility, including private peer communities, independent review websites, and discussions on dark social platforms like Slack or direct messages. According to a 2026 analysis by Similarweb, this means strategic decisions are often made with only 30% of the relevant data, as conventional analytics fail to capture the preliminary research and consideration phases. [7] These untrackable interactions are not trivial; they are the moments where buyers consume content, ask peers for recommendations, and build their initial perceptions of a brand. Consequently, deals are frequently won or lost based on the information buyers discover in these hidden channels, long before a company is even aware it is being considered for a purchase. [6] This reality fundamentally challenges marketing models that rely solely on trackable touchpoints like website visits or form fills.

The complexity of the modern buying journey multiplies the volume of untrackable activity, making the dark funnel the primary arena for decision-making. Research from 6sense highlights that B2B buying is a team sport, with buying groups averaging 12.8 people in the APAC region, 10.6 in North America, and 9.8 in EMEA. [11] A separate 2024 European B2B Buyer Experience Report from 6sense found that a typical buying group has more than 620 interactions with vendors alone, a figure that represents only a fraction of their total research effort. [13] The sheer scale of these interactions, spread across a dozen stakeholders, means thousands of digital touchpoints occur before a single MQL is ever generated. These activities, from internal discussions to independent online research, are where team members collaboratively define their requirements and build a business case. The 2024 B2B Buyer Experience Report from 6sense found that 85% of buyers establish their purchase requirements before initiating contact with any sales teams, cementing the dark funnel as the place where evaluation criteria are forged. [14]

The rise of generative AI is rapidly expanding the dark funnel, making buyer research even more autonomous and opaque. According to Forrester's Buyers' Journey Survey, 2024, a staggering 89% of B2B buyers have adopted generative AI for their purchasing process, naming it a top source of self-guided information. [3] This adoption is not passive; buyers are actively using AI tools to compare vendors, summarize third-party reviews, and draft initial requirements, effectively outsourcing early-stage research to algorithms. This shift means that a vendor's first impression is increasingly mediated by an AI, based on the public data it can find and synthesize. As noted in a 2026 analysis from MarketScale, this AI-driven research phase is where vendor shortlists are now formed. [4] With AI enabling faster and more thorough independent research, buyers arrive at a vendor's digital doorstep more informed and with stronger preferences than ever before, often having already validated their top choice before the first official sales conversation begins.

From Signal to Action: The Challenge of Activation

A significant disconnect exists between the adoption of buyer intent data and its financial return, a gap created primarily by flawed activation strategies. According to a 2026 DemandScience report surveying 750 senior B2B marketing leaders, an overwhelming 91% of marketing teams now use some form of intent data, yet only 24% of those practitioners report achieving exceptional return on investment. The core failure is not in the signals themselves, which accurately flag accounts researching relevant topics, but in the operational process of turning those signals into timely, intelligent action. Many organizations treat intent data as a glorified lead list rather than a signal layer that requires integration and orchestration. This challenge is compounded by data fragmentation; valuable signals from owned websites, third-party platforms like Bombora, and second-party review sites like G2 often live in disconnected dashboards. Without a unified workflow that pushes prioritized insights directly to sales and marketing platforms, the signals become noise, and sales teams, facing pressure to hit activity targets, revert to less efficient cold outreach. This activation gap means that even with clear data showing an account is in-market, the opportunity is often lost before it can be meaningfully engaged.

The complexity of modern B2B purchasing decisions introduces another major hurdle to effective activation, as buying committees have grown larger and more functionally diverse. Research from Gartner in 2024 establishes that a typical buying group for a complex solution now includes 6 to 10 decision-makers, with some reports showing the average climbing as high as 13 stakeholders. Each of these individuals enters the process with their own research, priorities, and blind spots; a technical evaluator from IT may be focused on security and integration readiness, while a stakeholder from finance scrutinizes cost and return on investment. This creates a web of disparate intent signals that are difficult to interpret as a cohesive whole. For example, one person may be reading API documentation while another is exploring pricing pages, and a third is searching for peer reviews. According to Forrester's 2024 State of Business Buying Report, this internal complexity, not vendor performance, is a primary reason that deals stall. Without a strategy to map these fragmented signals back to the buying committee and understand the distinct motivations of each member, sales and marketing teams struggle to build the unified account view necessary for a coordinated and relevant engagement strategy.

Even when strong, account-wide intent is detected, internal conflict within the buying group can quietly derail deals, making consensus-building the final and most critical challenge of activation. A 2024 Gartner survey of 632 B2B buyers revealed that 74% of buying teams experience unhealthy conflict during the decision process, which includes conflicting objectives, disagreements on the best course of action, or being overruled by external decision-makers. This internal friction is a primary predictor of deal quality; the same study found that groups reaching consensus are 2.5 times more likely to report a high-quality deal outcome. The problem is that intent signals, such as a surge in research activity from a target account, offer no visibility into these internal political dynamics. An internal champion may be armed with compelling product collateral, but that information is often insufficient to resolve a fundamental disagreement between a CFO who wants to freeze headcount and a VP of Sales who needs a tool to improve ramp time. Effective activation, therefore, requires moving beyond abstract signals and generic value propositions. It demands that vendors equip their champion with plain, factual data and group-level content that directly addresses the shared objectives and potential conflicts of the entire committee, enabling them to facilitate alignment and build the internal case for change.

Frequently Asked Questions

What percentage of the B2B buyer journey is anonymous?

Roughly 80% of the B2B buyer journey is anonymous and self-directed. According to 2024 research from Gartner, buyers spend only 17% of their purchasing time meeting with vendors, conducting the rest of their research independently online. [18] This behavior is driven by a buyer preference for self-service, with a 2023 TrustRadius study noting that 87% of B2B buyers prefer to research on their own before speaking to sales. [18] This means key decisions about vendor shortlists and requirements are made long before a seller is ever contacted.

How much does intent data increase conversion rates?

Organizations using intent data report conversion rate increases of up to 3x compared to traditional methods. A 2026 report from MarketsandMarkets highlights these gains, attributing them to better timing and personalization. [3] Similarly, a 2026 analysis found that 93% of B2B marketers see conversion rate improvements when using intent data. [20] This lift occurs because intent data allows teams to focus resources on accounts that are actively researching solutions, leading to more relevant conversations and shorter sales cycles. [3]

What is the difference between first-party and third-party B2B intent data?

The primary difference between first-party and third-party intent data is the source and reliability of the signals. First-party data is collected directly from your own digital properties, such as website visits or content downloads, making it highly accurate because it tracks actual interactions with your brand. [9, 25] In contrast, third-party data is aggregated by external providers from a wide network of publisher sites, showing which companies are researching specific topics across the web. [28] While third-party data provides broader market visibility, first-party data offers more precise, real-time insights into accounts already engaging with you. [9]

How many people are on a typical B2B buying committee in 2024?

A typical B2B buying committee for a complex solution in 2024 includes 6 to 10 decision-makers, according to research from Gartner. [19, 21] However, the size varies significantly with deal complexity; Forrester's 2024 report noted an average of 13 stakeholders for larger enterprise purchases. [19] For smaller or mid-market deals, the committee is often leaner, typically involving 4 to 7 people. [1] This growth in committee size is a result of increased scrutiny, with finance, IT, security, and procurement all having distributed veto power. [1]

What is the B2B 'dark funnel'?

The B2B 'dark funnel' refers to the buyer activities and research that are invisible to traditional marketing analytics and attribution tools. [2, 4] These untrackable touchpoints include private conversations in Slack, word-of-mouth referrals, podcast consumption, and research on third-party review sites. [4, 5] Because this activity happens before a prospect fills out a form, it represents the majority of the buyer's journey where vendor preferences are formed. [13] Acknowledging the dark funnel is critical, as Forrester estimates 70% to 80% of the B2B evaluation process happens in these hidden channels. [10]

Last updated: July 2026

B2B Buyer Intent: A 2024 Data Analysis