A guide to B2B intent data based on 2024 insights, covering pipeline lift, deal acceleration, and adoption rates from sources like Bombora and Forrester.

According to a Forrester Total Economic Impact study, a composite organization using Bombora's intent data achieved a 342% ROI, with benefits including an 18% higher conversion rate and up to 30% faster sales velocity. [4, 18] Bombora's methodology is based on a data cooperative of nearly 6,000 B2B websites where it tracks content consumption to identify which businesses are actively researching specific topics. [11] As of 2024, over 91% of B2B marketers use intent data, but only 24% report exceptional ROI, highlighting the need for better activation strategies. [4, 17]

TL;DR

A Forrester study on Bombora found users experienced a 342% ROI, an 18% lift in conversion rates, and up to a 30% faster sales velocity. [4, 18]
A cybersecurity firm using Bombora Company Surge® converted targeted accounts into booked meetings 33% more effectively. [16]
Over 91% of B2B marketers used intent data in 2024, but only 24% achieved exceptional ROI, indicating a gap in activation. [4, 17]
Cloudera improved reach of target accounts by 96% and cut cost-per-landing in half using a predictive model with Bombora's data. [14]
Over 70% of companies using intent data leverage multiple providers, such as Bombora, 6sense, and Demandbase, to improve coverage. [15]

What Is B2B Intent Data and How Is It Sourced?

B2B intent data is a collection of behavioral signals indicating a business's research activity and potential to purchase, based on the web content its employees consume. [8, 10] This information moves go-to-market teams beyond speculation, providing concrete evidence of which companies are actively exploring solutions. [8] These signals are categorized into two primary types: first-party and third-party data. First-party intent data is information you collect directly from your own digital properties, such as your website, CRM, and marketing automation platforms. [7] It reveals how known prospects and existing customers interact with your brand, tracking activities like pricing page visits or content downloads. While rich in context, its scope is limited to accounts already within your ecosystem. [3] In contrast, third-party intent data is collected from external sources, offering a panoramic view of an account's research behavior across thousands of other websites. [4, 8] This broader perspective, detailed in resources like Bombora's guide to intent data, is essential for identifying net-new prospects who are in-market but have not yet engaged with your brand directly.

Bombora sources its third-party intent data from a massive, consent-based Data Cooperative, which is a key differentiator in the market. [7] This proprietary network consists of over 5,000 B2B publisher, brand, and event websites, creating a vast and ethically sourced pool of research behavior. [13] The data collected is not scraped; it is directly gathered with user consent from co-op members, ensuring compliance with privacy standards. A critical aspect of this model is its exclusivity; according to Bombora's data overview, 86% of the websites contributing data to the co-op do so exclusively with Bombora, meaning these specific signals are unavailable to other providers. [2, 7, 13] This unique data sourcing methodology, which captures billions of interactions monthly, allows Bombora to create its industry-standard Company Surge® reports. [6, 13] These reports analyze an account's content consumption over a three-week period against its historical 12-week baseline to identify a statistically significant increase, or "surge," in research around specific topics, signaling active buying intent. [1, 20]

The raw data from content consumption is made actionable through a sophisticated, multi-layered taxonomy that goes far beyond simple keyword matching. Bombora's system uses advanced Natural Language Processing (NLP) and machine learning models to understand the context and meaning of the content being consumed. [14, 16] This process allows it to differentiate between homonyms, such as 'Apple' the company versus 'apple' the fruit, ensuring the intent signal is genuinely related to a B2B interest. [5] As of 2026, this proprietary taxonomy classifies content into over 21,600 distinct 'Intent topics', a number that is continuously updated to reflect new technologies and business trends. [13] This contextual classification, detailed in articles like Bombora's taxonomy guide, is what allows marketing and sales teams to precisely target accounts based on nuanced interests, such as 'AI ABM' or 'Flexible Time Off', rather than relying on broad, often misleading, keyword flags. [5, 16] This level of detail provides a more accurate picture of a company's specific needs and its stage in the buying journey.

Data Type	Primary Source	Data Scope & Scale	Example Signal	Primary Use Case
First-Party Intent	Your own website, app, CRM, and marketing automation systems. [7]	Deep but narrow; limited to accounts and contacts already engaging with your brand.	A known contact downloads a case study and visits your pricing page.	Lead scoring, sales prioritization, and personalizing nurture campaigns for known prospects. [3]
Second-Party Intent	Another company's first-party data, accessed via a direct partnership. [9]	Broader than first-party; access to a partner's specific audience (e.g., event attendees, publisher readers).	An account's employees attended a partner's co-branded webinar on 'Cybersecurity Trends'.	Audience expansion to find net-new accounts with relevant interests. [9]
Third-Party Intent (Bidstream)	Data passed from publisher sites during the programmatic ad bidding process. [7]	Very broad but can be noisy and lack B2B context; transparency can be a challenge.	An anonymous user from a specific company IP is seen on a page where an ad for 'CRM software' is served.	Broad-reach digital advertising and top-of-funnel awareness.
Third-Party Intent (Publisher Network)	A single publisher's network of owned and operated websites. [7]	Limited to the audience of one publisher; may have high relevance but lacks web-wide scale.	An account shows high engagement with articles in the 'Financial Software' section of a trade publication.	Niche audience targeting and content strategy validation.
Third-Party Intent (Bombora Data Co-op)	Proprietary cooperative of over 5,000 consent-based B2B publisher and brand websites. [13]	Web-wide scale with high exclusivity (86% of sites are exclusive) and B2B focus. [2, 7]	An account shows a surge of research activity across multiple co-op sites on the topic 'Cloud Data Management'. [16]	Account discovery, ABM targeting, sales prioritization, and competitive intelligence. [6]

How Does Intent Data Quantifiably Lift Pipeline and Accelerate Deals?

Investing in third-party intent data delivers a substantial and quantifiable financial return, directly impacting revenue and profitability. A commissioned Total Economic Impact™ study conducted by Forrester Consulting in July 2022, which aggregated data from four customers into a composite organization, calculated a 342% return on investment over three years from using Bombora. This ROI translated to $5.4 million in net benefits, driven by improved efficiency and effectiveness in both sales and marketing motions. The Forrester TEI methodology, a framework used for over 20 years, evaluates technology investments based on costs, benefits, flexibility, and risks to project financial impact. The core value stems from redirecting resources toward accounts actively demonstrating buying signals. For example, a premier cybersecurity organization found that 90% of its marketing budget was generating only 1% of its digital leads. By reallocating this spend away from broad search engine marketing and toward accounts identified by Bombora's Company Surge® product, the company was able to focus its resources on prospects with verifiable interest, transforming its marketing ROI and pipeline generation. This strategic shift from volume to precision is a foundational principle for maximizing the financial lift from intent data.

Beyond high-level ROI, intent data creates measurable operational efficiencies that accelerate the entire sales cycle. The same Forrester Total Economic Impact™ study found that the composite Bombora customer increased sales velocity by up to 30% and improved lead conversion rates by up to 18%. These gains are achieved by providing sales teams with prioritized lists of accounts that are already in-market, allowing them to engage prospects with timely and relevant outreach. This eliminates wasted effort on cold accounts and shortens the time from initial contact to a closed deal. Enterprise data cloud company Cloudera provides a powerful example of this principle in action. By using a predictive model built with two years of historical Bombora Company Surge® data, Cloudera was able to improve the reach of its target accounts by 96% compared to previous activities. This model, which used 95 distinct topics to predict future interest with 98% accuracy, allowed Cloudera to not only identify interested accounts but also serve the most relevant messaging, ultimately cutting its cost per website landing in half.

A unified data strategy, centered on intent signals, is critical for aligning sales and marketing departments, which directly translates to faster and more predictable revenue growth. According to 2024 research from Forrester, B2B organizations that successfully align their sales and marketing functions achieve 2.4 times higher revenue growth than their misaligned peers. This alignment hinges on a shared understanding of the target customer and their buying journey, a view that intent data provides with empirical clarity. When both teams work from the same prioritized list of accounts, marketing can deliver targeted air cover and qualified leads that sales is prepared to act on. A premier cybersecurity firm operationalized this concept by using Bombora's Company Surge® data to overhaul its budget. After discovering a massive disconnect between spend and results, it reallocated 90% of its marketing budget based on intent signals, which led to a 33% increase in the conversion rate of targeted accounts to booked meetings. This demonstrates how shared data empowers organizations to move in lockstep, ensuring marketing activities directly fuel sales pipeline and revenue.

What Are the Primary Use Cases for B2B Intent Data?

Account prioritization stands out as a foundational use case for B2B intent data, enabling both marketing and sales teams to concentrate resources on prospects actively signaling purchase intent. According to a 2023 study from Foundry, 91% of marketers now use intent data within their account-based marketing (ABM) strategies specifically to prioritize accounts. This approach shifts go-to-market teams away from static, firmographic-based lists and toward dynamic rankings of accounts that are demonstrating real-time interest. For instance, a company matching an ideal customer profile (ICP) that also shows a sudden spike in research around relevant topics, as tracked by a solution like Bombora's Company Surge®, would be elevated for immediate engagement. This data-driven prioritization is a core tenet of modern B2B database strategy, transforming static contact repositories into active intelligence assets that guide resource allocation. The primary goal is to improve efficiency and timing, ensuring that outreach, whether from sales development representatives or automated marketing campaigns, is focused on accounts that are already in a learning or buying mindset, thereby increasing the likelihood of a positive response and accelerating pipeline velocity.

Intent data directly fuels the personalization of marketing and sales messaging at scale, leading to significantly higher engagement and conversion rates. By understanding the specific topics and keywords an account is researching, teams can move beyond generic templates and tailor their outreach to address observable pain points and interests. According to a 2024 report from Intentsify, 62% of B2B marketers have successfully improved personalization and nurture workflows by leveraging intent data. For example, a prospect downloading a case study and researching competitor comparisons indicates they are deep in the buying journey and ready for a more direct sales conversation, whereas an account showing initial interest in a broad topic might be targeted with top-of-funnel educational content. This capability is a cornerstone of effective ABM, where messaging is customized for different buying personas within a target account based on their distinct research behaviors. The impact is measurable; a study by Foundry noted that intent-based ads can achieve a 220% higher click-through rate, demonstrating the power of aligning content with active buyer interest.

While new customer acquisition has traditionally dominated B2B marketing, the application of intent data for customer retention and expansion is a rapidly growing and highly effective strategy. These use cases involve monitoring the digital behavior of current customers to identify both risks and opportunities. For example, a customer account that suddenly begins researching competitor solutions is a clear churn risk, allowing account managers to intervene proactively. Conversely, a customer showing intent for topics related to a complementary product or a higher-tier service signals a prime opportunity for an upsell or cross-sell conversation. According to a 2024 report from Intentsify, 54% of B2B teams now use intent data for customer success functions. This proactive stance transforms retention from a reactive process into a data-driven strategy that secures and grows revenue from the existing customer base. Publishers have also adopted this data-driven approach, using tools like Bombora's Company Surge® to inform editorial calendars based on trending topics, which helps them create more relevant content that better serves their audience and advertisers.

Use Case	Primary Goal	Key Metrics Impacted	Example Data Signal
Account Prioritization	Focus sales and marketing resources on in-market accounts.	MQL-to-SQL Conversion Rate, Pipeline Velocity	An account shows a sudden spike in research on 3+ related topics.
Content & Messaging Personalization	Increase engagement by aligning outreach with active interests.	Click-Through Rate (CTR), Email Open/Reply Rate	A target account's contacts are consuming content about a specific competitor.
Sales Prospecting & Enablement	Improve outreach timing and relevance for higher response rates.	Meeting Booked Rate, Sales Cycle Length	An account from a dormant opportunity shows renewed research activity.
Customer Retention (Churn Reduction)	Proactively identify and engage at-risk customers.	Customer Churn Rate, Net Revenue Retention	An existing customer begins researching competitor names and pricing pages.
Customer Expansion (Upsell/Cross-sell)	Identify opportunities to grow existing accounts.	Customer Lifetime Value (CLV), Expansion Revenue	A customer using one product begins researching a complementary product line.
Market & Content Intelligence	Inform strategic planning and editorial calendars.	Content Engagement, Share of Voice, Website Traffic	Multiple accounts show surging interest in a new, emerging technology topic.

What is the 2024 Adoption Rate and Maturity of Intent Data Usage?

As of early 2024, the adoption of intent data has become nearly universal, with 91% of B2B marketers reporting its use to inform strategy and prioritize accounts. [10, 11] However, this widespread implementation masks a significant maturity problem, creating a pronounced 'activation gap'. According to multiple 2024 and 2025 analyst reports, only 24% of marketing teams using these tools report achieving exceptional return on investment. [3, 7, 8] This disparity stems from a common failure to properly integrate intent signals into day-to-day sales and marketing workflows. For instance, a 2026 report from DemandScience, which surveyed 750 senior marketing leaders, highlighted that many organizations struggle to translate intent-driven dashboard metrics into measurable revenue, with signals often remaining isolated from the activation tools used by sales representatives. [3] The challenge is not in acquiring the data, but in operationalizing it effectively, a gap that vendors like 6sense and ZoomInfo are attempting to close with AI-driven workflow tools like RevvyAI and Copilot, respectively, which launched in 2026 to recommend and trigger actions based on signals. [10]

The intent data market's rapid expansion further underscores the pressure on marketers to demonstrate ROI. Valued at approximately $4.49 billion in 2026, the global B2B buyer intent data tools market is projected to expand to $20.89 billion by 2035, growing at a compound annual growth rate (CAGR) of 16.6%. [3, 4] This growth is fueled by the strategic shift away from broad, firmographic-based targeting toward precision engagement driven by real-time behavioral signals. North America currently dominates the market, but the increasing need for compliant, privacy-safe data solutions in response to GDPR and other regulations is shaping vendor strategies globally. [4, 5] Market analysis from Roots Analysis indicates that cloud-based deployment models are a key driver, with their lower infrastructure costs and scalable nature accelerating adoption, a trend exemplified by a January 2025 partnership between Salesforce and 6sense designed to bring real-time buyer insights to over 150,000 customers. [4]

Despite high adoption rates, a significant portion of organizations struggle to leverage intent data to its full potential across the entire opportunity lifecycle. A 2024 industry benchmark survey of 312 B2B marketers found that while 71% actively use third-party intent data for their Account-Based Marketing (ABM) programs, many fail to move beyond simple account prioritization. [15] This is compounded by the complexity of the vendor landscape, where over 70% of organizations use multiple intent data providers to get a complete picture. [9] Top-performing teams create a more robust signal by layering different types of data, such as combining third-party topic-level data from a provider like Bombora's Company Surge with high-fidelity, second-party signals from review platforms like G2 Buyer Intent and first-party data from their own web properties. [3, 11] Research shows this layered approach yields superior results, with organizations that combine signal types reporting 47% better conversion rates. [3]

How Do Top Intent Data Providers Compare?

Bombora is widely considered the 'gold standard' for third-party B2B topic data, a reputation built on its vast and exclusive Data Cooperative. This co-op consists of over 5,500 B2B media websites, including publishers and brands, that contribute privacy-compliant, anonymized data on content consumption. [14] According to Bombora's 2024 disclosures, this network captures billions of content consumption events monthly from millions of unique business domains, and 86% of this data is exclusive to Bombora. [14] The company’s patented methodology involves establishing a baseline of 'normal' research behavior for a given business against more than 13,000 B2B topics; its flagship Company Surge® product then reports when a company’s research activity on a topic significantly increases, signaling active interest. [4, 12] This focus on tracking anomalous content consumption across a broad, consent-based network is what differentiates Bombora from providers that rely on other methods, such as bidstream data, which is collected from ad exchanges and often lacks the same depth and consent framework. [6] This foundational data layer provides the raw, top-of-funnel signals that are often consumed and repackaged by other vendors in the B2B technology ecosystem.

Major enterprise Account-Based Marketing (ABM) platforms, including 6sense and Demandbase, function as sophisticated activation layers that often resell or integrate Bombora's topic data. [3, 5] These platforms do not simply pass the data along; they ingest it alongside other sources, such as their own first-party website visitor identification and third-party signals, and apply proprietary predictive analytics. For example, a platform like 6sense, known for its predictive intelligence, uses this combined data to score accounts and predict their specific stage in the buying journey, from awareness to decision. [3, 22] Demandbase, in contrast, emphasizes its purpose-built B2B advertising DSP and orchestration workflows, using intent data to power account-based advertising and website personalization. [19] While Bombora provides the foundational "what" (which companies are researching which topics), these ABM platforms provide the "so what" by predicting which accounts are most likely to buy and enabling immediate, multi-channel activation. [22] This added layer of intelligence and orchestration is reflected in their pricing, with platforms like 6sense often costing $60,000 to $150,000+ annually, significantly more than a standalone Bombora data subscription. [2]

Sales intelligence providers such as ZoomInfo and Cognism bundle intent data with their core offering of extensive contact and company databases, creating a powerful, integrated solution for sales-led GTM motions. These platforms are not primarily intent data providers; rather, they use intent as a critical feature to help sales teams prioritize their outreach. ZoomInfo, for instance, aggregates intent signals from multiple sources, including bidstream data and partnerships, to flag companies that are actively researching specific topics. [10, 25] This allows a sales representative using the ZoomInfo platform to not only access a prospect's direct dial number and email but also see if their company is showing heightened interest in a relevant product category. Similarly, Cognism provides intent data to complement its human-verified contact information, which is particularly noted for its strength in European markets. [26, 27] The key value proposition here is workflow integration: a seller never has to leave the platform to identify an in-market account, find the right contact, and initiate outreach. Many of these platforms, including ZoomInfo, often source some of their topic-based intent data from Bombora or similar providers, layering it into their primary database product. [23]

In contrast to the broad, topic-based signals from Bombora, G2 Buyer Intent provides high-fidelity, late-stage buying signals derived directly from its software review marketplace. While Bombora identifies accounts in the early-to-mid stages of research across thousands of general business topics, G2 captures behavior from users who are actively comparing specific products, viewing pricing pages, and reading peer reviews. [3, 15] This activity is considered bottom-of-funnel because it demonstrates a clear intent to make a purchase decision in the near future. For software and technology companies, a signal from G2 indicating that a target account is comparing their product against a primary competitor is one of the most actionable triggers available. [3] The data sources are mutually exclusive; Bombora's strength is its vast co-op of publisher sites, while G2's is its proprietary, first-party data from users on its own platform. [16, 20] Mature marketing organizations often use both in tandem: Bombora for top-of-funnel account prioritization and G2 for bottom-of-funnel sales alerts and competitive intelligence. [8] This distinction is also clear in the data's scope: Bombora covers a wide array of B2B topics, whereas G2's intent data is almost exclusively focused on software and related technology services.

Pricing models across the intent data landscape vary dramatically based on the type of provider and the depth of its offering, creating a complex procurement environment for marketers. A standalone subscription for Bombora's Company Surge® data, which provides the raw topic-level signals, typically ranges from $30,000 to $80,000 annually for a mid-market company, with costs scaling based on the number of topics tracked and data volume. [2, 4] In contrast, comprehensive enterprise ABM platforms like 6sense and Demandbase, which bundle intent data with predictive analytics, account identification, and advertising orchestration, command significantly higher investments, often starting at $60,000 and extending well beyond $150,000 per year. [2, 13] Sales intelligence platforms like ZoomInfo bundle intent as a feature within their broader contact database subscriptions, where total costs for a mid-market team can range from $25,000 to $100,000+, depending on user seats and data add-ons. [2, 26] Finally, specialized high-intent providers like G2 offer their Buyer Intent data in tiers, with some basic data available for free to listed vendors and paid plans that expose account-level details typically starting around $20,000 to $50,000 annually. [3]

Frequently Asked Questions

How much does Bombora intent data cost?

Bombora's intent data pricing is quote-based and not publicly listed, but reported costs typically start at $25,000 to $30,000 per year for a basic plan. [1, 3] Mid-market packages often range from $40,000 to $80,000 annually, while enterprise solutions can exceed $100,000. [16] The final price depends on factors like the number of topics you track, data refresh frequency, and the complexity of integrations. [25]

What is the difference between Bombora and 6sense?

The primary difference is that Bombora is a specialized intent data provider, whereas 6sense is a comprehensive account engagement platform that uses intent data. [4] Bombora's main product, Company Surge®, identifies which companies are researching specific topics and sells that data for use in other systems like your CRM. [18] In contrast, 6sense is an end-to-end solution that combines its own data, third-party data (including from Bombora), and predictive AI to not only identify in-market accounts but also to orchestrate advertising and sales plays. [4, 19]

How accurate is B2B intent data?

The accuracy of B2B intent data varies significantly based on its source and collection methodology. [32] First-party intent data, collected from your own website and CRM, is highly accurate because it reflects direct engagement with your brand. [22] Third-party data, like that from publisher co-ops, is directionally useful for identifying accounts in a research phase but can be less precise; for example, IP-based company identification is estimated to be 60-80% accurate. [17] Accuracy improves when multiple data sources are combined to verify signals and create a more complete picture of buyer interest. [21]

How do you integrate intent data into a CRM like Salesforce?

You can integrate Bombora's intent data directly into Salesforce via a native application available on the AppExchange. [27, 35] The integration embeds Company Surge® data as a custom object within Salesforce account and lead records, allowing teams to see which topics a company is actively researching. [30, 36] This allows you to build custom reports, create prioritized account lists, and trigger automated workflows for sales and marketing based on intent signals. [31, 36] The setup involves installing Bombora's packages and configuring them to sync the specific topic clusters relevant to your business. [30]

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

First-party intent data is information you collect directly from your own digital properties, such as your website, app, or CRM system. [20, 37] This data is highly reliable as it shows direct engagement, but its scope is limited to audiences already interacting with your brand. [34] In contrast, third-party intent data is aggregated by external providers from a wide network of sources, like Bombora's co-op of over 5,000 B2B websites, to show which companies are researching topics across the broader web. [20, 22] While third-party data provides wider market visibility before a prospect visits your site, first-party data offers deeper insight into known contacts. [23]

What is Bombora's Company Surge® score?

Bombora's Company Surge® score is a number from 0 to 100 that indicates how intensely a company is researching a specific topic compared to its own historical baseline. [2, 8] A high score does not just mean high research volume; it means the company's research activity is significantly higher than its normal behavior, signaling a potential buying journey. [5, 11] A score of 60 or higher is considered a 'spike,' suggesting a statistically significant increase in content consumption and making that account a priority for sales and marketing outreach. [9]

Last updated: August 2026

B2B Marketer's Guide to Intent Data Benchmarks