A comparison of B2B intent data providers, defining the differences between 1st, 2nd, and 3rd party signals and how Bombora, G2, and Apollo collect them.

The B2B intent data market reached $4.49 billion in 2026, with 91% of marketers using it to prioritize accounts. The main data types are third-party, collected from external publisher networks like Bombora's 5,000+ site co-op; second-party, from marketplace activity like G2's 90 million+ annual users; and first-party, from a company's own properties, which platforms like Apollo.io help track and manage. Forrester's Q1 2025 Wave report named Bombora a leader, calling it the "gold standard for account-level intent data feeds."

TL;DR

Bombora provides third-party intent data by tracking content consumption across a cooperative of over 5,000 B2B websites, identifying topic "surges" at the account level.
G2 captures second-party, high-purchase-intent signals from over 90 million annual users researching and comparing specific products on its software review marketplace.
Apollo.io bundles third-party intent data, primarily from Bombora, with its own database of over 275 million contacts, adding a prioritization layer to its sales engagement platform.
Third-party data (Bombora) offers the broadest view of top-of-funnel research, while second-party data (G2) signals bottom-of-funnel, in-market buying activity.
A 2026 survey found 91% of B2B marketers use intent data, but only 24% report exceptional ROI, highlighting the challenge of activating signals effectively.

Defining Intent Data: 1st, 2nd, and 3rd Party Signals

First-party data represents the most accurate and reliable form of buyer intent because it is information collected directly from a company's owned digital properties. This data encompasses a wide range of interactions, including website page views, content downloads, email engagement, and form submissions captured through analytics software, CRM platforms, and marketing automation tools. For example, when a prospect visits a pricing page multiple times after downloading a whitepaper, those actions generate high-fidelity first-party signals. According to a 2026 report by S2W Media, personalized outreach driven by first-party data can yield 35% higher engagement rates and a threefold improvement in ABM targeting efficiency compared to strategies reliant on external data. Because the company controls the collection methodology, it has full transparency into the data's origin and meaning, making it a crucial asset for personalizing marketing campaigns and understanding audience behavior without interference from third-party interpretations. Platforms like Apollo.io are designed to help organizations consolidate and activate these valuable signals, turning direct audience interactions into a clear view of customer interest and purchase intent.

Second-party data is another organization's first-party data that is accessed through a direct partnership or commercial agreement, offering a way to expand audience reach beyond a company's own assets. This data type provides insights into customer behavior on platforms that are not owned by your business but are relevant to your market. The most prominent example in the B2B space comes from software marketplaces and review sites like G2. According to G2, its Buyer Intent data identifies companies that are actively evaluating software solutions based on real, high-value user behavior on its platform, such as viewing product comparisons, competitor pages, and pricing information. This activity is considered second-party data because G2 collects it directly from its 90 million+ annual users and then provides it to vendors on the platform through a data-sharing agreement. This gives marketers a powerful, near-real-time view into late-stage buying behavior, allowing them to target accounts that are actively researching their solution category or even specific competitors. These signals are highly valued for their ability to highlight accounts with strong purchase intent that have not yet visited a vendor's own website.

Third-party intent data is aggregated by external companies from a vast network of publisher websites, providing a broad, top-of-funnel view of an account's research activity across the web. Unlike first-party data from owned properties or second-party data from a single partner, third-party providers track content consumption across thousands of different domains to identify when a company shows heightened interest in specific topics. Bombora is a primary example, operating a B2B Data Co-op of over 5,000 publisher sites where it monitors content engagement through a consent-driven tag. Its flagship product, Company Surge®, analyzes this activity to detect when an account's research on one of its 25,300+ topics is significantly higher than its historical baseline. This "surge" indicates that an account is actively in a research cycle, even before it has identified specific vendors or visited their websites. While this data provides immense scale for identifying new in-market accounts, it is typically aggregated at the account level, meaning it shows that a company is interested but not which specific individuals are conducting the research. According to a July 2024 State of Marketing Report from Salesforce, 61% of digital marketers still use third-party data, demonstrating its continued importance for top-of-funnel demand generation despite its broader nature.

An effective demand generation strategy rarely relies on a single source of intent; instead, it layers different data types to gain a comprehensive understanding of the buyer's journey. A 2023 ABM & Intent Benchmarking Study by Foundry revealed that 91% of marketers use intent data to prioritize accounts, and a separate survey found that 93% of B2B marketers rely on two or more sources for their intent data. The most powerful combination often involves blending the scale of third-party data with the precision of first-party data. For instance, a marketing team might use Bombora's Company Surge® data to identify a list of accounts showing new interest in "cloud security." This third-party signal serves as the initial alert that an account is in-market. The marketing team can then target these accounts with advertising and content. Once individuals from those accounts click through to the company's website and engage with content, first-party data collection begins. This allows the team to track specific user actions, personalize follow-up communication, and score leads based on direct engagement, creating a seamless transition from broad market interest to a specific, actionable sales opportunity. This hybrid model leverages third-party data for discovery and first-party data for conversion, maximizing both reach and relevance.

Data Type	Primary Source	Example Vendor / Platform	Key Benefit	Primary Limitation
First-Party Data	Directly from own channels (website, CRM, app)	Google Analytics, Apollo.io, Salesforce	Highest accuracy and relevance; full data ownership and transparency.	Limited to audiences already interacting with your brand.
Second-Party Data	Another company's first-party data via partnership	G2 Buyer Intent, TrustRadius	Access to competitor and category interest on a trusted platform.	Scope is confined to the partner's ecosystem (e.g., only G2.com activity).
Third-Party (Co-op)	Data aggregated from a cooperative of publisher sites	Bombora Company Surge®	Broad view of an account's early-stage research across the web.	Often lacks contact-level detail; can have signal noise.
Third-Party (Bidstream)	Data sourced from ad exchange bid requests	Demandbase Intent (some sources)	Massive scale with trillions of signals from millions of sites.	Data is inferred from keywords on pages, which can lack context and precision.
Zero-Party Data	Information customers intentionally and proactively share	Surveys, Quizzes, Preference Centers	Explicitly stated needs and preferences from the customer.	Requires active customer participation, which can be limited.

Bombora's Approach: Third-Party Data via a B2B Co-op

Bombora's Company Surge® data originates from its proprietary B2B Data Cooperative, a consent-based network of over 5,000 publisher and brand websites. This co-op structure allows Bombora to monitor a massive volume of B2B research activity, capturing an average of 22 billion content consumption events each month. The data collected is not scraped or sourced from the unconsented bidstream; instead, publishers opt into the cooperative, sharing anonymized reader behavior through a proprietary JavaScript tag placed on their sites. This methodology provides a clean, privacy-compliant foundation that adheres to GDPR and CCPA standards, a critical differentiator in the data market. A significant portion of this data is unique, with Forrester noting that Bombora's co-op has exclusive relationships for its signals, making the dataset highly distinct and difficult to replicate. This vast and exclusive network, which includes influential publishers like Bloomberg and Fortune, gives Bombora a panoramic view of account-level research trends across the B2B web, forming the bedrock of its third-party intent data offering.

The platform translates raw content consumption into actionable intent signals by using Natural Language Processing (NLP) and a sophisticated topic taxonomy. Bombora's system analyzes the text of articles being consumed across its co-op to understand contextual meaning, rather than just matching keywords. This process classifies research activity against a proprietary taxonomy of over 17,210 B2B topics as of its March 2025 update. The core of the Company Surge® product is its baseline methodology; it identifies when an account's research activity on a specific topic spikes significantly above its own historical 12-week baseline. A surge is typically flagged when a topic's score, on a scale of 0-100, surpasses 60, indicating a statistically meaningful increase in interest. This approach, which compares a company's recent three weeks of activity to its normal behavior, effectively pinpoints when an organization moves from passive interest to active, in-market research, allowing it to catch signals from companies of all sizes.

Bombora's account-level data is recognized as a market standard, primarily used by sales and marketing teams to identify and prioritize in-market companies for targeted engagement. In its Q1 2025 Wave report on B2B Intent Data Providers, Forrester named Bombora a Leader, calling it the "gold standard for account-level intent data feeds." The report highlighted the strength of Bombora's exclusive Data Co-op, noting that 86% of its signals are unique to its network, providing a "highly unique, future-proofed dataset." Go-to-market teams leverage these Company Surge® insights to power account-based marketing (ABM) programs, customize sales outreach with relevant messaging, and personalize content for their target audiences. By knowing which companies are actively researching specific solutions, teams can prioritize their efforts, improve the timing of their outreach, and increase the efficiency of their advertising spend, ultimately unifying sales and marketing strategies around a common set of high-intent accounts.

G2's Model: High-Intent Signals from a Software Marketplace

G2's model provides second-party intent data by capturing behavioral signals directly from its software marketplace, which serves over 90 million annual visitors. This data is considered second-party because it is collected firsthand from user activity on G2's own digital property and then packaged for sellers. The G2 Buyer Intent product identifies companies that are actively researching software solutions, generating signals when verified users perform specific, high-value actions. These actions include viewing a vendor's product profile, reading reviews within a specific software category, or looking at pricing pages. Unlike third-party data aggregated from a wide network of publisher sites, G2's data offers a focused view into the explicit research and evaluation behaviors occurring within its well-defined B2B ecosystem. A 2024 study by Dreamdata found that deals influenced by G2 signals were, on average, two times larger in value than deals without them, suggesting that buyers making significant investments rely heavily on the marketplace for their research. This direct-from-the-source data collection provides a clear, verifiable trail of an account's journey through the software selection process, making it a distinct asset for go-to-market teams.

The signals captured by G2 are considered high-intent and bottom-of-the-funnel because they reflect active evaluation rather than passive, top-of-funnel research. Actions such as viewing a product's pricing page, directly comparing two or more products, or viewing a page of alternatives to a specific solution indicate a buyer is moving beyond initial discovery and into a late-stage decision-making process. For example, a research report from Dreamdata published in October 2024 revealed that G2 comparison signals have a 5.7 times greater influence on closed deals than general category page views, confirming that direct product comparisons are a powerful indicator of purchase readiness. Other high-value signals include viewing competitor profiles or reading reviews for products within a subscribed category. Platforms like Demandbase recommend assigning higher scores to these specific actions, such as viewing the pricing section (1.00 points) or a product comparison (1.00 points), to separate high-value buying behavior from the noise of general research. This granularity allows sales and marketing teams to prioritize accounts that demonstrate the most explicit signs of being in-market to buy.

While G2 data provides powerful, bottom-of-funnel insights, its primary limitation is that it is delivered at the account level, not the contact level. This means that while a sales team can see that someone from a specific company researched their product category or viewed their pricing page, they do not know the identity of the individual user who performed the action. G2 itself clarifies that its Buyer Intent data is captured at the company level and is not linked to individual people. This creates a critical next step for sales and marketing teams: they must take the account-level signal and perform additional discovery to identify the specific stakeholders and members of the buying committee within that organization. According to a March 2026 article from Influ2, this means sales teams must spend additional time researching to find the right prospect at the companies G2 surfaces. Although G2 offers solutions like G2 Audiences that can enrich this account data with contact information for advertising activation, the core intent product identifies the 'who' at a company level, leaving the person-level identification as a subsequent challenge for the user.

Apollo's Hybrid Signals: A Database with an Intent Layer

Apollo.io operates as a comprehensive sales intelligence and engagement platform, built upon a massive B2B contact database that, as of early 2026, contains over 275 million contacts from more than 73 million companies. Unlike pure-play intent data providers, Apollo's core architecture is its database, with intent signals layered on top as a critical feature for prioritizing outreach. This structure positions it as an all-in-one solution, particularly for sales development reps (SDRs) and small to mid-sized businesses (SMBs) who need both prospecting data and engagement tools in a single workflow. The platform allows users to filter its vast contact list using dozens of criteria, including firmographics, technographics, and, crucially, buying intent signals. This integrated approach means a sales team can identify an account showing purchase intent and immediately access a list of potential contacts within that account, then engage them through email sequences or a built-in dialer without leaving the platform. This bundled functionality is a key part of its value proposition, designed to replace a fragmented stack of separate tools for data, sequencing, and intent.

The platform's intent signals are primarily sourced from third-party partnerships, most notably with Bombora and LeadSift. Through its integration with Bombora, which operates a data cooperative of over 5,000 B2B publisher websites, Apollo provides users with Company Surge® data. This data identifies when a specific company is consuming significantly more content than its historical baseline on any of Bombora's 14,000+ topics, signaling active research or "surge" behavior. Apollo also incorporates signals from LeadSift, which adds another 1,600+ topics, further broadening the scope of detectable buying interest. These signals are refreshed weekly and presented at the account level, meaning the platform flags that a particular company is showing interest, but not which specific individual is conducting the research. This structure makes Apollo a powerful tool for identifying which accounts to target, leaving the subsequent step of identifying the right person within that account to the user, who can leverage Apollo's own contact database to do so.

A core strength of Apollo's platform is its ability to facilitate a hybrid signal strategy, allowing users to combine third-party intent data with their own first-party engagement signals for a more holistic view of account activity. While Apollo's primary intent offering comes from partners like Bombora, its native sales engagement features, such as the email sequencer and dialer, generate valuable first-party data points. For example, a user can track email opens, clicks, and replies from contacts at a target account. A workflow could involve identifying an account surging on a third-party topic like "cybersecurity software" and then using Apollo's Sequences to engage multiple contacts at that company. The platform's automation can then create tasks or alerts based on that first-party engagement, such as triggering a follow-up call if a prospect opens an email multiple times or visits a high-value page like a pricing page. This fusion of external research signals with direct engagement metrics allows sales teams to more effectively prioritize their time, focusing on accounts that are not only researching a solution but are also actively responding to outreach.

Apollo's primary value proposition is the bundling of its extensive contact database, third-party intent data, and sales engagement tools at a highly accessible price point. With a functional free plan and paid tiers like the Basic plan starting at $49 per user per month (when billed annually as of October 2026), it represents one of the most cost-effective entry points into intent-driven sales for SMBs and startups. This pricing model stands in contrast to enterprise-focused, standalone intent data providers that often require annual contracts starting at $25,000 or more. By integrating Bombora's topic data directly into its prospecting workflow, Apollo democratizes access to account-level intent, allowing teams without dedicated research budgets to prioritize their outreach based on buying signals. The trade-off for this accessibility is that the intent signals are account-level only and update weekly rather than in real-time. However, for lean sales teams, the ability to find contacts, identify intent, and execute outreach within a single, affordable platform is a powerful and efficient combination.

Comparison: Funnel Stage, Signal Type, and Use Case

Bombora excels at providing top-of-funnel, account-level awareness by identifying broad research trends across its proprietary data cooperative of over 5,000 B2B websites. The platform's Company Surge® product analyzes 17 billion content interactions monthly to detect when a company is consuming content on a specific topic more intensely than its historical baseline. This generates an account-level "Surge Score," signaling early-stage interest rather than immediate purchase intent. A Q1 2025 Forrester Wave™ report named Bombora a Leader, calling it the "gold standard for account-level intent data feeds" and noting its dataset is highly unique due to exclusive relationships with co-op partners. This makes it ideal for enterprise marketing teams aiming to prioritize accounts for awareness campaigns, personalize content, and feed their account-based marketing (ABM) programs with reliable targeting data. However, this enterprise-grade signal comes at a premium, with typical entry-level pricing for its Company Surge® Basic plan starting around $25,000 to $30,000 per year, and mid-market packages often landing between $50,000 and $100,000 annually.

G2 delivers high-fidelity, bottom-of-funnel signals by capturing second-party data directly from its software marketplace, which attracts over 90 million annual buyers. Unlike the broad, topic-based research tracked by third-party providers, G2's Buyer Intent data flags explicit buying behaviors, such as comparing specific vendors, viewing pricing pages, and reading reviews within a product category. These actions indicate that an account has moved past general research and is actively evaluating solutions, making the signals particularly valuable for sales prioritization. A 2025 Buyer Experience Report from 6sense, which surveyed over 4,000 buyers, found that 94% of buying groups rank their preferred vendors before ever speaking to a sales representative, underscoring the need for visibility into this late-stage research. G2's pricing model reflects its enterprise focus, with its Marketing Solutions packages that include intent data typically starting around $25,000 per year, though effective costs after negotiation can be lower. This makes it a powerful tool for B2B SaaS sales teams who need to identify and engage in-market accounts to accelerate pipeline generation and gain a competitive edge.

Apollo.io serves a different market segment by functioning as an all-in-one prospecting and outreach platform that bundles a massive contact database with licensed third-party intent data. This makes it a highly accessible, cost-effective solution for small to medium-sized businesses (SMBs) and lean sales teams. Instead of producing its own intent signals, Apollo integrates them into its database of over 270 million contacts, allowing users to identify an account showing interest and immediately access contacts to begin outreach within the same tool. The primary use case is streamlined prospecting for sales development representatives who need a single platform for list building, engagement, and basic automation. Its pricing model is a significant differentiator from enterprise solutions like Bombora and G2. Apollo offers a freemium plan and paid tiers that start at $49 per user per month (billed annually), making intent-driven prospecting accessible without a five-figure upfront investment. However, the credit-based system for actions like phone number lookups and data exports can lead to actual costs that are two to three times higher than the advertised price for active teams.

Vendor	Primary Data Source	Funnel Stage Focus	Ideal Use Case	Typical Pricing Model
Bombora	Third-Party Data Co-op (~5,000+ B2B sites)	Top-of-Funnel (Awareness & Consideration)	Enterprise ABM & marketing campaign targeting	Enterprise Subscription ($25,000 - $100,000+/year)
G2	Second-Party Marketplace Data (~90M+ annual visitors)	Bottom-of-Funnel (Decision & Purchase)	Sales prioritization & competitive intelligence for SaaS	Enterprise Subscription ($8,000 - $50,000+/year)
Apollo.io	Licensed Third-Party Intent & First-Party Signals	Full Funnel (Prospecting & Engagement)	All-in-one prospecting & outreach for SMBs	Freemium & Per-Seat Subscription ($0 - $119+/user/mo)
Signal Type: Third-Party	Aggregated from publisher networks and bidstream data	Top/Mid-Funnel	Broad account discovery and research trend analysis	Varies (Often licensed or sold in large data packages)
Signal Type: Second-Party	Collected directly from a platform's own audience (e.g., marketplaces, review sites)	Bottom-of-Funnel	High-intent lead identification and competitive alerts	Varies (Often sold as a premium add-on or direct subscription)
Signal Type: First-Party	Behavior on a company's own digital properties (website, app)	Full Funnel	Lead scoring, personalization, and identifying visitor engagement	N/A (Tracked via analytics and marketing automation tools)

Frequently Asked Questions

Is G2 intent data better than Bombora?

Neither G2 nor Bombora is inherently better; they serve different funnel stages. G2 provides high-intent, second-party data from users actively comparing solutions on its marketplace, making it ideal for identifying accounts at the bottom of the funnel. In contrast, Bombora offers third-party data that shows early-stage research across a broad network of over 5,000 publisher sites, which is best for top-of-funnel targeting. A company researching on G2 is much closer to making a purchase decision than one simply reading related articles across the web.

How accurate is Apollo's intent data?

Apollo's intent data accuracy is dependent on its hybrid model, which primarily relies on third-party data from partners like Bombora. This means it provides account-level signals, indicating a company is researching a topic, but not which specific person is doing the research. While Apollo's own database has a user-reported email accuracy of around 75-80%, the intent data's precision is tied to the quality of its external sources and is best used for prioritizing accounts rather than as a definitive measure of individual buyer interest.

What is the difference between 1st and 3rd party intent data?

The primary difference between first-party and third-party intent data is its origin and precision. First-party data is collected directly from your own properties, such as your website or CRM, tracking explicit actions like demo requests or pricing page visits. This makes it highly accurate but limited to users who already know your brand. Third-party data is aggregated by providers like Bombora from a vast network of external publisher sites, identifying anonymous companies showing early research interest, which provides broader but less precise top-of-funnel visibility.

Can you use Bombora and G2 data together?

Yes, using Bombora and G2 data together is a common and powerful strategy for full-funnel marketing. In fact, the two companies have a partnership that allows G2 customers to see Bombora's topic data directly within the G2 platform. This combination allows marketers to use Bombora's broad third-party data to identify accounts in the early research phase and then use G2's high-intent signals to pinpoint when those accounts are actively comparing vendors and are ready for sales outreach. Many platforms offer integrations to merge these data sources into a unified view for sales and marketing teams.

Which intent data is best for top-of-funnel marketing?

Third-party intent data, such as that provided by Bombora, is the most effective for top-of-funnel marketing. This data is sourced from a wide cooperative of B2B publisher websites, allowing marketers to discover accounts showing early research interest in relevant topics before those companies have ever visited their own website. This enables broad account discovery for awareness campaigns and content syndication. First-party and second-party data are typically more effective for mid- and bottom-of-funnel activities, as they signal engagement from accounts that are already aware of your brand or actively comparing solutions.

How much does B2B intent data cost?

The cost of B2B intent data varies dramatically, from monthly subscriptions to large enterprise contracts. Platforms like Apollo offer intent data as part of broader sales intelligence plans that can start under $100 per month, while G2's intent data is often an add-on to packages that range from $10,000 to over $87,000 annually. Standalone third-party providers like Bombora typically start at $25,000 to $30,000 per year, with mid-market deals often landing in the $50,000 to $100,000 range depending on the number of topics tracked and data volume.

Last updated: October 2026

B2B Intent Data: Bombora vs. G2 vs. Apollo Compared