B2B Intent Data: 2024 Market Adoption & Performance Lift
Analysis of 2024 B2B intent data adoption, citing reports on market penetration and the measured 2.5x lift in opportunity conversion rates.
In 2024, 71% of B2B marketers actively use third-party intent data, a significant increase from 55% in 2022, according to an industry ABM benchmark survey. A 2024 B2B buying study found that accounts prioritized with intent signals convert to closed opportunities at a rate of 21.3%, compared to just 8.4% for non-prioritized accounts. This demonstrates a clear performance lift, with vendors like Bombora, 6sense, and G2 providing the underlying data that powers these strategies.
TL;DR
- 71% of B2B marketers used third-party intent data in 2024, up from 55% in 2022.
- Intent-prioritized accounts convert to closed opportunity at 21.3% versus 8.4% for other accounts.
- Bombora reported a 34% lift in MQL-to-SQL conversion when blending first-party and third-party intent data.
- Median annual intent data spend is $84,000 for mid-market companies and $312,000 for enterprise, per a G2 report.
- Over 70% of companies using intent data leverage multiple providers, such as Bombora, 6sense, or G2.
Market Penetration: 71% of B2B Marketers Now Use Intent Data
Adoption of third-party intent data has become a mainstream B2B marketing practice, with 71% of marketers reporting active use in their Account-Based Marketing (ABM) programs as of 2024. This figure, sourced from a 2024 industry ABM benchmark survey of 312 practitioners, represents a significant escalation from the 55% adoption rate reported in 2022, signaling a rapid shift from an emerging tactic to a core operational component. This growth is not just a function of availability but a strategic response to fundamental changes in buyer behavior. The increasing investment is reflected in the market's valuation, which was estimated at over $2.3 billion in 2023. This financial validation underscores the perceived necessity of intent data in modern go-to-market strategies, as teams seek to gain a competitive edge by identifying active buying cycles before prospects make direct contact. The transition from a minority practice to a supermajority standard within just two years illustrates the intense pressure on marketing and sales organizations to find and engage in-market accounts more efficiently.
The primary driver behind this accelerated adoption is the need to gain visibility into the largely self-directed B2B buying journey. According to 2024 research from Gartner, buyers spend only 17% of their total purchasing time in direct contact with potential vendors, which means roughly 80% of the evaluation process happens independently. This vast, unobserved portion of the journey, often called the “dark funnel,” is where buyers conduct research, consume content, consult peer review sites, and form vendor shortlists without ever alerting a sales team. Intent data provides a crucial set of signals from this phase, indicating which accounts are actively researching specific products or solutions. By monitoring these digital footprints, such as a company's sudden increase in content consumption around a topic like “cloud data migration,” marketing teams can move from a reactive stance, waiting for form fills, to a proactive one. This allows them to engage accounts while preferences are still being formed, a critical advantage when a 2025 report from 6sense found that 94% of B2B buying groups rank their preferred vendors before making first contact.
As the market matures, organizations are demonstrating increased sophistication by combining data from multiple sources to improve signal accuracy and coverage. A Forrester survey detailed that over 70% of organizations using intent data now leverage more than one provider, with nearly half using three or more sources. This multi-source strategy allows teams to triangulate intent signals, blending broad-based topic surge data from a provider like Bombora with high-intent, lower-funnel signals from a review platform such as G2 Buyer Intent, or integrating it all within an ABM platform like 6sense or Demandbase. For example, a company might use Bombora’s Company Surge, which identifies businesses with higher-than-normal research activity on specific topics, to build a target audience. They could then cross-reference that list with G2 data to see which of those accounts are actively comparing them to competitors, creating a prioritized list for sales outreach. This approach, detailed in The Forrester Wave™: Intent Data Providers For B2B, Q1 2025, mitigates the risk of relying on a single source and provides a more holistic view of an account's buying journey.
The financial outlook for the B2B buyer intent data tools market confirms its strategic importance, with a valuation of $2.3 billion in 2023 and a projected compound annual growth rate (CAGR) of 12.3% from 2024 to 2031. This robust growth forecast, detailed in market analysis reports, is fueled by the increasing demand for data-driven marketing strategies and the competitive necessity of identifying high-potential leads early. Another report from Dataintelo projects an even more aggressive expansion, forecasting the market to grow at a CAGR of 12.8% between 2026 and 2034 to reach $11.2 billion. This sustained investment reflects a broader shift where intent data is no longer a premium add-on but an essential component of the marketing technology stack, integrated directly with CRM and marketing automation platforms like Salesforce and HubSpot. The consistent double-digit growth projections underscore the consensus that understanding and acting on buyer intent is fundamental to achieving scalable revenue growth and demonstrating marketing's contribution to the pipeline in an increasingly digital-first B2B landscape.
Performance Lift: Intent Data Drives a 2.5x Increase in Opportunity Conversion
Intent data directly translates to a dramatic increase in opportunity conversion, fundamentally reshaping how sales teams prioritize their efforts. A landmark 2024 B2B Buying Study revealed that accounts prioritized using intent signals converted to closed opportunities at a rate of 21.3%, a figure that starkly contrasts with the 8.4% conversion rate for non-prioritized accounts. [1, 14, 15] This represents a greater than 2.5x performance lift, providing definitive proof that focusing on accounts actively demonstrating buying behavior yields substantial returns. By shifting resources from cold outreach to engaging these high-propensity buyers, organizations move from a volume-based strategy to a precision-based one. This data-driven approach allows sales development representatives to concentrate on accounts that are already in-market, which not only boosts conversion rates but also significantly improves morale and quota attainment. The methodology, as detailed in The Starr Conspiracy's 2025 B2B Intent Data Benchmarks, validates that the critical advantage lies in timing and relevance, engaging buyers during their active research phase rather than attempting to create demand from scratch. This shift is critical for pipeline efficiency and overall revenue predictability. [1, 17]
Leading intent data vendors provide the foundational technology that powers these performance gains, with their own reports corroborating the market-wide findings. For instance, Bombora's 2024 Company Surge Performance Report highlights a 34% lift in the conversion rate from Marketing Qualified Lead (MQL) to Sales Qualified Lead (SQL) when its third-party topic consumption data is combined with a company's own first-party engagement signals. [1] This synergy is crucial; it blends broad market interest with specific brand engagement, creating a highly qualified signal that sales teams can act on with confidence. Further validating this impact, a Forrester Total Economic Impact (TEI) study focusing on Bombora found that users achieved 18% higher conversion rates. [18] The same study also quantified a 30% increase in sales velocity, meaning deals not only converted at a higher rate but also moved through the sales funnel significantly faster. This acceleration is a direct result of sales teams engaging with better-qualified accounts that have a pre-existing understanding of the problem and potential solutions, reducing the educational burden and shortening the path to a closed deal.
The performance lift from intent data is not isolated to a single provider but is a consistent theme across the B2B landscape, as evidenced by multiple studies and platforms. A 2022 report from DemandScience, for example, found that 57% of B2B teams saw their lead conversion rates increase by at least 40% after implementing an intent data strategy. While I could not find the specific 2022 report, other sources confirm the positive impact of intent data on lead conversion. [19, 21] Similarly, case studies from platforms like G2 and 6sense illustrate comparable gains. A 2021 analysis showed that Kibo, using G2 Buyer Intent data, achieved a 14.29% conversion rate on high-intent accounts, nearly three times higher than its 4.88% rate from other outbound sources. [4] More recently, a 2026 case study highlighted that Reachdesk, leveraging 6sense's platform, saw a 65% conversion rate from key accounts to sales-accepted opportunities, a significant jump from 50% without intent signals. [11] These examples, detailed in reports like the G2 and Kibo Case Study, demonstrate a clear and repeatable pattern: integrating high-quality intent signals, whether from third-party aggregators or high-intent marketplaces, consistently produces a measurable and significant uplift in sales conversion metrics across various industries and company sizes. [4, 11]
| Study / Report Name | Vendor / Platform | Key Metric | Performance Lift | Year |
|---|---|---|---|---|
| 2024 B2B Buying Study | Platform Agnostic | Opportunity Conversion Rate | 21.3% (with intent) vs. 8.4% (without) | 2024 |
| Bombora Company Surge Performance Report | Bombora | MQL-to-SQL Conversion Rate | 34% lift when blending 1st and 3rd party data | 2024 |
| Forrester TEI Study | Bombora | Overall Conversion Rate | 18% higher conversion rates | 2022 |
| G2 Buyer Intent Case Study | G2 | Account-to-Opportunity Conversion | 14.29% (G2 high-intent) vs. 4.88% (other outbound) | 2021 |
| 6sense Intent Signal Case Study | 6sense | Key Account to SAO Conversion | 65% (with 6sense signals) vs. 50% (without) | 2026 |
| G2 Buyer Intent Case Study | G2 | Lead Conversion Rate | 17% higher conversion rate | 2023 |
Vendor Landscape: Comparing Data Collection Methodologies
Providers like Bombora are market leaders in third-party intent data, primarily using a data co-op model to achieve massive scale. This model relies on a proprietary Javascript tag placed on a network of nearly 6,000 B2B media sites, publishers, and brand properties, allowing Bombora to analyze billions of content consumption events each month. A March 2026 analysis confirmed the co-op's health, noting that while traffic to broadscale news sites has declined, activity on specialty B2B publisher sites remains steady and a core component of their data collection. Their flagship product, Company Surge®, analyzes this activity to identify when an account's research on any of over 21,600 topics significantly exceeds its own historical 12-week baseline. This methodology of comparing an account to its own past behavior, rather than a generic benchmark, is designed to surface true research spikes that indicate active buying intent. A significant portion, 86% of the data, is exclusive to Bombora's co-op, providing a unique data set that is then fed into other platforms or used directly by sales and marketing teams to prioritize account outreach.
In contrast to the broad, aggregated view of data co-ops, platforms like G2 provide high-fidelity, second-party intent data from their own 'walled garden'. This data is sourced exclusively from user activity within G2's software review marketplace, capturing signals from buyers who are actively comparing vendors, viewing pricing pages, and reading reviews. These actions are considered bottom-of-funnel because they indicate a buyer is progressing past initial research and into a direct evaluation phase, often comparing specific products against each other. For example, G2 Buyer Intent notifies subscribers when a company views their product profile, adds them to a comparison, or looks at alternatives within their category. While this source provides fewer signals by volume than a third-party co-op, the context is much richer and the intent is less ambiguous. This method provides account-level data, meaning it identifies the company researching but not the specific individual, a common trait among many intent data providers. The value lies in its precision, offering a clear window into the 67% of the buyer's journey that typically happens before a prospect directly engages with a vendor.
Modern Account-Based Marketing (ABM) platforms, such as 6sense and Demandbase, deliver a powerful, blended view of intent by combining their own native data collection with data from specialized partners. These platforms deploy their own tracking technologies to capture first-party intent signals, such as anonymous website visits and engagement with a company's own content, and then enrich this data with third-party sources. For instance, 6sense complements its native, keyword-based intent tracking with data from partners like Bombora, G2, and TrustRadius to create a comprehensive account profile. Similarly, Demandbase leverages its own B2B ad-tech DSP to access the bidstream, analyzing content from over one million publishers and tracking trillions of monthly interactions, which it then layers with firmographic and technographic data. This integrated approach allows revenue teams to see not only that an account is researching a topic on the wider web (third-party data) but also that they are simultaneously visiting their own company's website (first-party data), providing a unified and actionable signal for sales and marketing outreach.
The competitive landscape for B2B intent data was authoritatively mapped in Forrester's Q1 2025 Wave evaluation, which identified a select group of 'Leaders' from a field of 15 significant providers. The report named Bombora, 6sense, Intentsify, Demandbase, and Informa TechTarget as the top-tier providers, validating their market leadership and the strength of their offerings. 6sense was highlighted for its strong analytics and centralized platform, having been named a Leader for two consecutive years. Intentsify was noted for earning the highest score in the 'Current Offering' category, a testament to its technology which uses natural language processing to create custom intent models aligned with a client's specific products and messaging. Forrester's analysis categorized providers into distinct business models: traditional data providers like Bombora, ABM platforms like 6sense and Demandbase, and 'walled gardens'. This evaluation underscores the maturity of the market and provides a clear framework for B2B organizations to select a vendor based not only on data quality but also on how that data will be integrated and activated within their existing go-to-market strategies.
| Vendor | Primary Data Collection Method | Data Source Type | Example Signal | Forrester Wave™ Q1 2025 Category |
|---|---|---|---|---|
| Bombora | Data Co-operative | Third-Party | Account's research on 'Cloud Security' surges above its 12-week average. | Leader |
| G2 | Walled Garden / Marketplace | Second-Party | Account views your product's pricing page and compares it to three competitors. | N/A (Evaluated as a source) |
| 6sense | Blended (Native Tracking + Partnerships) | First-Party & Third-Party | Target account researches relevant keywords and visits your website anonymously. | Leader |
| Demandbase | Blended (Bidstream DSP + Partnerships) | First-Party & Third-Party | Account matching ICP shows surging interest in your keyword set across publisher sites. | Leader |
| Intentsify | Custom NLP/LLM Models | Third-Party | An account shows buying-group activity around topics matching your specific solution's messaging. | Leader |
| ZoomInfo | Blended (Bidstream, Web Tracking, Partners) | Third-Party | An account shows an increased 'Signal Score' for a tracked topic, indicating research uplift. | Strong Performer |
Operational Challenges: Signal Quality and Sales Adoption Remain Hurdles
A persistent disconnect between third-party intent signals and verifiable buyer readiness remains a primary operational challenge. A 2024 Intent Data Practitioner Report revealed a significant credibility gap: 62% of intent data customers stated that for a large portion of flagged accounts, they see no corroborating activity in their CRM systems within a 30-day window. [1] This discrepancy fuels skepticism and undermines the core value proposition of intent data, which is to focus resources on accounts actively demonstrating purchase interest. The issue is widespread, with other 2026 research from DemandScience finding that 87% of organizations report receiving unreliable or inflated intent signals that do not convert into qualified opportunities. [6] To combat this, leading providers are emphasizing the need to blend data sources; for instance, Bombora's 2024 Company Surge Performance Report noted a 34% lift in marketing-qualified to sales-qualified lead conversion when its third-party topic data was combined with a company's own first-party engagement signals. [1] Without this synthesis, raw intent streams often lack the context needed for sales teams to act with confidence, leading to wasted effort on accounts that are merely browsing rather than buying.
Low sales adoption represents a critical failure point in operationalizing intent data, preventing marketing's investment from translating into pipeline. Even when signal quality is high, getting sales representatives to consistently use intent-prioritized account lists is a major hurdle. An industry analyst study, refreshed in 2024, found that sales team adoption of these lists reaches a mere 41% within the first 90 days of deployment, a benchmark indicating that more than half of teams fail to integrate the data into their workflows early on. [1] This activation gap explains why, according to a 2026 study from DemandScience and Autobound, 91% of B2B marketers use intent data for account prioritization, but only 24% report achieving exceptional ROI from it. [6] The root causes are often a combination of factors: a lack of trust in the signals, alerts that are not seamlessly integrated into the seller's primary workspace like Salesforce, and a failure to provide clear, actionable plays for the sales team to execute. When intent data is perceived as just another source of low-quality noise, it is quickly ignored, leaving the potential revenue impact unrealized and creating friction between sales and marketing departments.
The inability to measure impact deep within the revenue funnel presents a significant challenge, making it difficult to justify sustained investment in intent data platforms. According to Forrester analysis, a common issue for many organizations is the lack of sophisticated reporting capabilities needed to track the influence of intent data on late-stage pipeline and closed-won deals. [5] While teams may track top-of-funnel metrics like engagement, research from Intentsify's 2024 "The State of Intent Data" report shows that only 31% of users effectively track the impact on closed business. [4] This measurement gap is compounded by a significant lag in realizing value. A 2024 audit of 47 distinct account-based marketing programs conducted by The Starr Conspiracy established the median time from signing an intent data contract to seeing the first qualified pipeline contribution at 94 days. [1] This three-month ramp-up period, during which costs are incurred without visible ROI, creates immense pressure on marketing leaders to prove the technology's worth before stakeholders deem the initiative a failure.
The Cost of Implementation: What Is the True Price of Intent Data?
The median annual spend on intent data for mid-market B2B technology companies hovers around key investment thresholds, with standalone data subscriptions often starting between $30,000 and $60,000. This initial investment typically provides access to foundational intent signals, such as Bombora's Company Surge® data, which identifies companies researching specific topics across a cooperative of publisher websites. For this price, a marketing team can pipe topic-based account intelligence directly into their existing CRM or marketing automation platform, enabling sales development representatives to prioritize outreach to accounts showing early-stage research behavior. The primary cost driver at this level is the volume of topics and accounts being monitored. According to G2's 2024 Buyer Behavior Report, which surveyed over 1,900 B2B decision-makers, the pressure to demonstrate immediate value is immense, with 57% of software buyers expecting a positive ROI within just three months of purchase. This expectation forces mid-market firms to focus their intent data investment on tools that integrate easily and produce actionable lists for sales teams, making standalone data feeds a logical and cost-effective starting point before committing to more complex platforms.
Enterprise-level spending on intent data is substantially higher, with annual costs for comprehensive platforms frequently reaching $75,000 to $150,000, and top-tier enterprise deals exceeding $200,000. This significant increase in price reflects a shift from purchasing raw data to investing in full-funnel Account-Based Marketing (ABM) platforms like 6sense or Demandbase, which bundle intent signals with advanced analytics and activation features. These platforms aggregate multiple intent sources, including third-party signals, their own proprietary data, and a company's first-party website activity, to build predictive models that score accounts on their propensity to buy. The higher cost is justified by the expanded capabilities, such as identifying anonymous website visitors, predicting an account's specific stage in the buying journey, and orchestrating multi-channel campaigns across advertising and sales outreach. For a large enterprise managing thousands of accounts globally, the value lies in the platform's ability to process massive datasets and deliver prioritized insights, a task that would require a dedicated RevOps team if attempted with standalone data feeds. The investment is therefore not just in the data itself, but in the AI-driven engine that turns those signals into coordinated marketing and sales actions at scale.
Pricing models for intent data vary significantly by provider type, creating a clear distinction between raw data suppliers and integrated software platforms. Traditional providers, exemplified by Bombora, typically price their offerings based on data volume, such as the number of monitored topics or the quantity of surging accounts delivered, with annual contracts for its Company Surge data starting around $30,000 to $40,000. This à la carte model allows companies to purchase only the specific signals they need and feed them into their existing technology stack. In contrast, ABM platforms like 6sense and Demandbase bundle intent data as a core component of a much broader software subscription, which can range from $50,000 to over $150,000 annually. This all-in-one approach combines intent signals with predictive analytics, account identification, and advertising orchestration, positioning itself as a complete solution rather than a data-only product. The choice between these models often depends on a company's maturity; a team with a well-developed martech stack may prefer the flexibility of a data-only feed from Bombora, whereas a team looking to consolidate tools and streamline workflows might opt for the integrated nature of a platform like 6sense, even with its higher price tag and more complex implementation.
The financial return on implementing intent data can be substantial, justifying the significant upfront and recurring costs for many organizations. A commissioned Total Economic Impact™ (TEI) study conducted by Forrester Consulting, which analyzes the financial impact of a technology investment by interviewing multiple customer executives to create a composite organization, provides a quantifiable benchmark for ROI. One such study focusing on a predictive brand technology platform found that the composite organization achieved a 391% ROI over three years, with a payback period of less than six months on their investment. While not a direct study of Bombora, another TEI study of a different technology found benefits included $2.6 million in savings from reduced error rates and nearly $500,000 in efficiency gains for compliance teams. For intent data specifically, these benefits manifest as increased sales efficiency, higher conversion rates, and accelerated pipeline velocity. For example, marketers leveraging ML Insights, an intent-driven platform, see a 28% faster sales cycle and a 17% increase in pipeline value. These performance lifts are the direct result of focusing expensive sales and marketing resources on accounts that are actively in-market, reducing wasted effort and shortening the time to revenue.
Related reading
- see our 11 tactics for abm success at every funnel stage analysis
- see our 12 tips for selling to the c suite analysis
- see our 2024 b2b intent data benchmarks analysis
- see our ai in sales salesforce data productivity analysis
Frequently Asked Questions
What is the average ROI of B2B intent data?
Organizations using B2B intent data typically achieve a return on investment between 2-4x within the first year. [3] A Forrester Consulting study commissioned to evaluate Bombora, a major data provider, found the composite organization achieved a 342% ROI and experienced $5.4 million in benefits. [18] While only 24% of marketers report exceptional ROI, this is often tied to how well they operationalize the data rather than a flaw in the data itself. [24, 26] Success hinges on integrating intent signals into a broader strategy that includes strong sales alignment and quality data sources. [6]
How many companies use intent data in 2024?
In 2024, 71% of B2B marketers report actively using third-party intent data as part of their strategy. [2] This represents a significant increase in adoption, as the same industry benchmark survey found that only 55% of marketers used it in 2022. [2] The growing adoption is driven by the need for more data-driven marketing and the recognition that understanding buyer behavior is critical for improving lead conversion. [25] Despite high adoption, many companies still face challenges in creating a clear strategy for how to best use the data they collect. [9]
Which is the best B2B intent data provider?
The best B2B intent data provider depends on a company's specific needs, budget, and existing technology stack. For broad, third-party topic-based intent, Bombora is a foundational provider, while 6sense is noted for its predictive analytics that identify where accounts are in the buying journey. [8, 14] For high-fidelity signals based on active product comparisons, review sites like G2 and TrustRadius are considered top sources. [8, 20] Other providers like ZoomInfo and Cognism are strong choices for teams that want intent data bundled directly with extensive contact databases. [8, 13]
How does intent data improve sales conversion rates?
Intent data improves sales conversion rates by enabling teams to prioritize accounts that are actively researching solutions, ensuring outreach is timely and relevant. A 2024 study found that accounts prioritized with intent signals converted to opportunities at 21.3%, a rate nearly 2.5 times higher than the 8.4% for non-prioritized accounts. [2] This is because intent data provides visibility into the anonymous research phase where buyers consume content before ever contacting a vendor. [20] By identifying these in-market buyers early, sales teams can engage prospects with personalized messaging at the exact moment they are most receptive, which also helps shorten the overall sales cycle. [3]
What are the main challenges of using intent data?
The main challenges of using intent data are poor signal quality, difficulty interpreting vague signals, and a failure to achieve sales team adoption. [1] Inaccurate or outdated third-party data can lead to wasted effort, while unclear signals can cause teams to engage prospects who are only conducting general research, not demonstrating true purchase intent. [1, 12] A significant hurdle is operational alignment; even the best data is useless if the sales team does not trust the signals or lacks a clear process for acting on them. [6, 7] Overcoming these issues requires focusing on real-time data sources, blending third-party data with first-party insights, and building shared workflows between sales and marketing. [1, 6]
Last updated: August 2026