A 2024 comparison of Bombora, G2, and 6sense, detailing data sources, signal types, use cases, and pricing based on industry reports and vendor data.

In a 2024 comparison, Bombora, G2, and 6sense show distinct methodologies. Bombora uses a data co-op of over 5,000 B2B websites to track topic research surges. G2 provides high-intent signals from its software marketplace, capturing actions like viewing pricing or comparison pages. 6sense operates as a full ABM platform, combining third-party data (including Bombora) with its own AI to predict buying stages. Gartner's 2023 Magic Quadrant for ABM Platforms recognizes the importance of these varied intent data types for go-to-market strategies.

TL;DR

Bombora provides broad, top-of-funnel intent from a data co-op of 5,000+ B2B websites, tracking over 25,300 topics.
G2 offers high-intent, late-stage signals from its software review marketplace, including pricing page views and direct competitor comparisons.
6sense is an AI platform that aggregates multiple data sources, including Bombora, to predict which accounts are in-market and their buying stage.
Reported annual pricing varies significantly: G2 starts at $20k, Bombora at $25k, and 6sense at $60k+.
Gartner's 2023 Magic Quadrant for ABM Platforms named 6sense and Demandbase as Leaders, validating the platform-based approach to intent.

Data Sources & Methodology: Co-op vs. Marketplace vs. AI Platform

Bombora's intent data methodology is rooted in its vast B2B data cooperative, a network of over 5,000 publisher websites that collectively generate billions of monthly content consumption events. The core product, Bombora Company Surge®, analyzes this activity to pinpoint when a company shows a statistically significant increase in research around a specific topic. The model establishes a 12-week baseline of a company's typical content consumption and compares it against the most recent 3-week activity. When research intensity crosses a specific threshold, typically a score of 60 out of 100, the topic is flagged as 'surging' for that account. This process monitors engagement across more than 16,000 B2B topics, tracking interactions from approximately 4 million unique company domains monthly. The resulting data provides a company-level signal of active interest, indicating that an account is researching a solution but not necessarily identifying the specific individuals involved. This approach allows marketing and sales teams to prioritize accounts demonstrating early-stage buying signals across a wide swath of the B2B web, well before a prospect fills out a form on a vendor's site.

G2 derives its Buyer Intent data directly from high-value activities occurring within its software marketplace ecosystem, which includes G2.com, Capterra, Software Advice, and GetApp. This network attracts over 200 million annual software buyers, providing a rich source of first-party, purchase-proximate signals. Unlike broad, topic-based tracking, G2's methodology focuses on specific, bottom-of-funnel actions that signal active evaluation. These actions include viewing a product's profile or pricing page, making direct competitor comparisons, or reading reviews for a specific category. Because this data comes from buyers actively engaged in the selection process on a review platform, it is considered a strong indicator of late-stage buying intent. G2 captures these signals and links them to specific company accounts, enabling vendors to see which organizations are comparing them to competitors or are close to making a purchase decision. The data provides clear, actionable insights for sales teams to prioritize outreach to accounts that are demonstrating the most urgent buying behaviors within a competitive context.

6sense operates as a comprehensive GTM intelligence platform, differentiating itself by combining multi-source data with predictive AI rather than just providing a single intent signal. Its data engine, the 6sense Signalverse™, captures what the company describes as over one trillion signals daily from a wide array of sources. This includes first-party data from a client's own website and CRM, anonymous website visitor tracking, and third-party intent data from partners like Bombora and G2. The platform's core methodology relies on its AI models to analyze this vast dataset, which includes 13 years of historical B2B buying behavior patterns. By comparing a company's real-time activities against these historical patterns and a client's past successful deals, 6sense's AI predicts which accounts are in an active buying cycle and categorizes them into distinct buying stages, such as 'Awareness' or 'Decision'. This predictive modeling, updated daily, allows revenue teams to focus not just on accounts showing interest, but on those statistically most likely to convert within a specific timeframe, often cited as the next 90 days.

Vendor	Primary Data Source	Methodology	Key Metric	Data Scale
Bombora	Data Cooperative	Compares recent (3-week) topic research against a historical (12-week) baseline to identify abnormal interest.	Company Surge® Score	5,000+ co-op websites, 16,000+ topics, ~22B monthly events.
G2	Software Marketplace	Tracks high-intent user actions (e.g., pricing page views, competitor comparisons) on its review sites.	Buyer Intent Signals	200M+ annual buyers across G2, Capterra, Software Advice, and GetApp.
6sense	AI-Powered Platform	Aggregates 1st-party data and 3rd-party signals (from Bombora, G2, etc.) to predict buying stages using AI models.	Buying Stage Prediction	Claims over 1 trillion signals captured daily via its Signalverse™.
Bombora (Detail)	B2B Publisher Network	A 'surge' is triggered when an account's topic consumption score exceeds 60, indicating a statistically significant increase.	Topic-level Interest	Monitors ~4 million unique company domains per month.
G2 (Detail)	First-Party User Actions	Identifies company accounts based on IP matching and user behavior on product/category pages.	Account-level Engagement	Over 2 million verified software reviews provide contextual data.
6sense (Detail)	Hybrid Data Model	Uses historical CRM data and real-time intent to train predictive models that score accounts on purchase likelihood.	6sense Qualified Account (6QA)	Integrates directly with partner data streams from Bombora, G2, and others.

Signal Types: What Behavior Does Each Platform Actually Measure?

Bombora's primary intent signal is its proprietary 'Company Surge®,' which identifies when an account is consuming content on a specific B2B topic more than its historical baseline. This signal is generated from a data cooperative of over 5,000 B2B publisher websites, where Bombora aggregates content consumption data, including engagement metrics like scroll velocity and dwell time. The platform's methodology does not track individuals; instead, it measures the collective research activity at the account level. A 'surge' is triggered when the intensity and volume of content consumption by employees at a company significantly exceed that company's own 12-week baseline for a given topic. Bombora assigns a score from 0 to 100, and a score of 60 or higher is typically considered a meaningful spike, indicating the account is actively researching and potentially in-market. This account-level view tells you that a specific company is interested in a topic, such as 'account-based marketing platforms,' but it does not identify the specific people driving that research. This makes it a tool for prioritizing accounts for top-of-funnel marketing rather than for direct, person-specific outreach.

G2 provides high-intent signals derived directly from its software marketplace, capturing explicit buying behaviors that signal active product evaluation. Unlike Bombora's topic-based approach, G2 tracks specific actions users take when researching solutions on its platform and partner sites like Capterra. G2 documents several distinct signal types, including 'Profile View,' 'Pricing Page View,' 'Compare,' and 'Alternatives.' A 'Compare' signal, for instance, is triggered when a buyer views a side-by-side comparison of your product against a named competitor, indicating late-stage consideration. Similarly, a 'Pricing Page View' suggests a buyer is evaluating your solution against their budget. These signals are considered high-intent because they occur in a context where over 100 million buyers are actively comparing and selecting software. While the data is delivered at the account level by identifying the researching company via IP matching, the behaviors measured are much closer to the point of purchase than general topic consumption. This makes G2's data particularly valuable for identifying bottom-of-funnel opportunities and executing competitive displacement campaigns.

6sense functions as a comprehensive predictive analytics platform, providing a synthesized 'Buying Stage' analysis rather than just a raw intent signal. The platform ingests multiple data sources, including first-party website engagement, its own network of B2B keyword research, and third-party data from providers like Bombora, to create a holistic view of account activity. Its AI-driven model then classifies accounts into one of five predictive buying stages: Target, Awareness, Consideration, Decision, and Purchase. Each stage corresponds to an intent score range (e.g., Decision is 70-85) and reflects the model's assessment of an account's likelihood to buy within the next 90 days. In addition to this predictive timeline, 6sense generates a 'Profile Fit' score. This score, rated Strong, Moderate, or Weak, measures how closely an account's firmographic and technographic profile matches a company's historical closed-won customers, effectively scoring its resemblance to an ideal customer profile (ICP). This dual-score system allows teams to prioritize accounts that are not only showing active research intent but also represent a strong fit for the business.

The Comparison Table: Bombora vs. G2 vs. 6sense (2024)

The foundational difference between Bombora, G2, and 6sense lies in their data sourcing methodologies, which directly impacts the type of buyer intent each platform reveals. Bombora operates the market's largest data cooperative, a consent-based network of nearly 6,000 B2B publisher and brand websites where it observes content consumption. Its Company Surge® product identifies accounts researching specific topics more intensely than their historical baseline, providing a broad, top-of-funnel view of emerging interest. In contrast, G2 Buyer Intent generates signals from its own software marketplace, which includes activity from G2, Capterra, Software Advice, and GetApp. This is classified as second-party data, capturing high-value, bottom-of-funnel actions like viewing a product's pricing page, reading competitor comparisons, or exploring alternatives. 6sense employs a hybrid model, functioning as a full Account-Based Marketing (ABM) platform that aggregates multiple data sources. It combines its own first-party data collection and proprietary signals with third-party data from providers like Bombora and G2, using its AI engine to create a holistic view of account activity.

Signal granularity and taxonomy size further distinguish the three providers, defining the precision and scale of their insights. Bombora offers topic-level surge scores based on a vast and evolving taxonomy that, as of its June 2026 'Quay' release, surpassed 25,300 topics. This allows marketers to track nuanced research interests across thousands of specific B2B concepts and products. The platform's proprietary natural language processing models analyze content contextually, ensuring that a search for 'Apple' is correctly identified as the technology company, not the fruit. G2 provides highly granular, action-specific signals from its marketplace, such as 'viewed pricing page,' 'compared product A vs. product B,' or 'viewed alternatives,' which indicate late-stage, purchase-proximate behavior. 6sense moves beyond discrete signals to offer a predictive model of the entire buying journey. Its patented AI, trained on over a decade of B2B purchase data, classifies accounts into distinct stages like 'Awareness,' 'Consideration,' and 'Decision,' predicting the likelihood of a purchase within the next 90 days based on a composite of signals.

These differences in data and granularity translate into distinct primary use cases for go-to-market teams. Bombora's Company Surge® is ideally suited for top-of-funnel awareness campaigns and prioritizing accounts for ABM programs. Marketing teams use its broad topic-based signals to identify accounts showing early research interest, enabling timely content personalization and advertising before a buyer has self-identified. G2 Buyer Intent excels at identifying bottom-of-funnel opportunities and enabling competitive-takeout plays. When a known account views a competitor's profile or a comparison page on G2, it triggers a high-value alert that sales teams can act on immediately, positioning their solution precisely when a prospect is in an active evaluation cycle. 6sense, as a comprehensive platform, is designed for orchestrating full-funnel ABM programs. By combining intent signals with predictive analytics, it allows revenue teams to automate actions based on an account's predicted buying stage, from broad awareness messaging for top-of-funnel accounts to high-value sales touches for those in the 'Purchase' stage.

Feature	Bombora	G2	6sense
Primary Data Source	Proprietary data co-op of nearly 6,000 B2B publisher websites.	First-party user activity on its own software marketplace and affiliated sites like Capterra.	Hybrid model: Aggregates third-party data (including Bombora and G2) with first-party signals and proprietary AI.
Signal Type	Topic-level 'Surge' score, indicating increased research activity against a 12-week baseline.	Action-specific signals from marketplace activity (e.g., 'viewed pricing page,' 'compared products').	AI-predicted buying stage (e.g., 'Awareness,' 'Decision') based on an aggregation of multiple signals.
Taxonomy / Scope	Over 25,300 B2B topics, including concepts and company names.	Limited to software and service categories listed on the G2 marketplace.	Combines licensed taxonomies (like Bombora's) with its own keyword and signal mapping.
Ideal Funnel Stage	Top-of-Funnel (Awareness & Early Research).	Bottom-of-Funnel (Consideration & Decision).	Full-Funnel (from Target to Purchase).
Typical Use Case	Prioritizing accounts for ABM and identifying net-new accounts showing early interest.	Identifying in-market buyers for immediate sales outreach and competitive displacement campaigns.	Orchestrating automated, multi-channel ABM campaigns aligned to predicted buying stages.

Use Cases & Go-to-Market Fit: Which Intent Data Aligns With Your Strategy?

For broad account-based marketing (ABM) at scale, Bombora's wide net is ideal for identifying early-stage interest and prioritizing large target account lists. The platform's core strength lies in its consent-based Data Co-op, a collection of nearly 6,000 publisher and brand websites where 86% of the data is exclusive to Bombora. This structure allows Bombora's Company Surge® product to establish a baseline of normal research activity for millions of companies and then flag statistically significant increases, or surges, in content consumption. By monitoring billions of monthly consumption events across a taxonomy that grew to over 20,100 topics in early 2026, Bombora surfaces accounts that are just beginning their buying journey, often before they have filled out a form or engaged with a sales team. This makes it a foundational layer for enterprise teams with mature ABM programs, enabling them to focus ad spend and sales outreach on accounts demonstrating active research before competitors are even aware of the opportunity. The methodology moves beyond simple keyword tracking to understand the context and intensity of research, providing a powerful tool for prioritizing outreach and tailoring messaging based on the specific topics an account is exploring.

For SaaS companies operating in competitive markets, G2's intent data provides highly actionable intelligence for sales teams to engage buyers actively evaluating specific competitors. Unlike broad, top-of-funnel intent, G2 captures signals from buyers who are deep in the evaluation stage, performing actions that signal strong purchase intent. These actions, tracked across G2 as well as sister sites like Capterra and GetApp, include viewing a company's product profile, pricing page, or, most critically, a 'Compare' or 'Alternatives' page that pits a vendor directly against its rivals. A 2023 analysis by Factors.ai, for example, found that accounts identified through G2 Buyer Intent signals had a 60% higher chance of converting into a deal compared to standard outbound accounts. This bottom-of-funnel insight allows sales development representatives (SDRs) to prioritize outreach to accounts that are not just researching a category, but actively weighing their options between named vendors. An SDR can then personalize their outreach with messaging that directly addresses the competitive comparison, transforming a generic touchpoint into a timely, relevant conversation. This capability is crucial for vendors needing to defend their position or displace an incumbent at the most critical moment of the sales cycle.

For enterprise sales teams navigating long and complex buying cycles, 6sense's predictive model helps orchestrate multi-touch campaigns by identifying which accounts to focus on. The platform moves beyond flagging general interest by using AI to analyze trillions of signals from its own data, third-party sources like Bombora and G2, and a company's own CRM to predict where an account is in its buying journey. A 2023 6sense research report, based on a survey of 392 B2B practitioners, found that only about 9% to 11% of a company's total addressable market is actively in-market during any given quarter, underscoring the need for precise targeting. 6sense addresses this by assigning accounts a buying stage, from Awareness to Purchase, allowing teams to focus resources on the accounts most likely to convert. This predictive capability was highlighted in the 2025 Gartner® Magic Quadrant™ for Account-Based Marketing Platforms, where 6sense was named a Leader for the fifth consecutive year, receiving the highest score for its Ability to Execute. By identifying the small fraction of buyers who are truly in-market, the platform enables revenue teams to reduce customer acquisition costs and accelerate pipeline by concentrating budget and effort on opportunities with the highest propensity to close.

Customer Success teams can leverage G2's buyer intent data as a powerful early warning system for potential churn. An existing customer researching competitor profiles or viewing 'Alternatives' pages on G2 is a significant red flag, indicating they may be unhappy or exploring other options ahead of a renewal. This specific signal provides a proactive churn risk alert that internal data, such as product usage or support ticket volume, often misses. According to G2, increasing customer retention by just 5% can boost profits by a range of 25% to 95%, making proactive retention a high-value activity. By integrating G2's Competitive Intent Signals directly into their workflow through APIs or dedicated platforms, Customer Success Managers (CSMs) can receive real-time alerts when one of their accounts exhibits this behavior. This allows the CSM to intervene immediately, address underlying issues, and reinforce value long before the customer formally signals their intent to leave. This transforms the CSM role from reactive problem-solver to a proactive account guardian, using external competitive research signals to secure revenue and identify expansion opportunities.

Pricing & Platform Strategy: Data Feed vs. Full Platform

Bombora operates as a pure intent data provider, offering its flagship Company Surge® product as a data feed designed for integration into a customer's existing technology stack. This model contrasts sharply with all-in-one platforms, as it focuses exclusively on supplying account-level topic interest signals sourced from a cooperative of over 5,000 B2B websites. Reported annual costs for a basic Bombora Company Surge® plan in 2024 start in the $25,000 to $30,000 range, with most mid-market implementations landing between $50,000 and $100,000 depending on the number of topics tracked and data volume. This pricing structure positions Bombora as a data layer, not a full-service software solution; it tells you which companies are showing increased research activity but relies on your team's marketing automation platform, CRM, or sales engagement tools to activate that intelligence. The core advantage of this approach is flexibility, allowing sophisticated go-to-market teams to enrich their own proprietary models and orchestrate campaigns within the systems they already manage, without being locked into a new, prescriptive workflow.

G2 Buyer Intent also functions as a data-first product, but it sources its signals from a much more concentrated and bottom-of-funnel environment: its own software marketplace. It captures high-value actions such as prospects viewing a specific product page, comparing vendors, or looking at pricing information, providing signals that are closer to an actual purchase decision. The cost for G2 Buyer Intent data is frequently bundled with a paid G2 Profile subscription, with sources from 2026 reporting total annual costs ranging from $20,000 to $50,000. For example, while a basic G2 profile might start around $3,000 per year, the Buyer Intent add-on can bring the total investment to between $40,000 and $50,000 at list price. This structure makes the product best suited for companies that already have an active and trafficked presence on G2's platform. Like Bombora, it provides a data feed that requires a team to have its own systems for activation. The strategic choice to use G2 is a bet on the power of high-intent, purchase-proximate signals over the broader, top-of-funnel view offered by other providers.

6sense represents the opposite end of the spectrum, functioning as a comprehensive go-to-market (GTM) platform that bundles data, predictive analytics, and activation capabilities into a single subscription. Unlike pure data feeds, 6sense is designed to be the central hub for account-based initiatives, identifying anonymous web visitors, predicting an account's stage in the buying journey, and orchestrating multi-channel campaigns. This all-in-one approach commands a significantly higher price point. Reports from 2026 indicate that annual contracts for 6sense typically start around $60,000 for mid-market deployments and can easily exceed $150,000 or even $300,000 for enterprise-level packages with expanded features and a large number of tracked accounts. This investment provides a more prescribed, AI-driven workflow that can accelerate execution for teams that lack a fully developed GTM technology stack or the internal resources to build their own intelligence layer. The platform's value is in its integration of intent signals (including data from Bombora) with its own predictive modeling and campaign tools, offering a complete system rather than just a data input.

Frequently Asked Questions

What is the difference between Bombora and G2 intent data?

The primary difference between Bombora and G2 is their data source and the type of intent they capture. Bombora identifies broad, top-of-funnel interest by tracking content consumption across a cooperative of over 5,000 B2B publisher websites, flagging accounts with a 'surge' in research on specific topics. In contrast, G2 provides high-intent, bottom-of-funnel signals directly from its software marketplace, capturing explicit buying behaviors like comparing specific products, viewing pricing pages, or reading competitor reviews. This makes G2's data narrower but often more indicative of an immediate software purchase, while Bombora offers a wider view of early-stage research across many B2B categories.

How accurate is 6sense predictive intent?

6sense's predictive intent accuracy is highly regarded in analyst reports, with its AI models built on over a decade of B2B buying data. Forrester's 2025 Wave report on B2B Intent Data Providers named 6sense a Leader, giving it the highest possible scores in criteria like 'accuracy and noise filtering' and 'buying cycle analysis'. While no predictive model is perfect and some users note the scoring can be opaque, customers frequently praise its data accuracy and measurable impact on pipeline. The platform's effectiveness comes from processing over a trillion signals daily to predict which accounts are in-market and their specific buying stage.

Which intent data is best for B2B SaaS companies?

G2's intent data is often considered best for B2B SaaS companies because its signals originate from a software-specific marketplace where buyers are actively evaluating solutions. Actions like viewing your product's pricing page, reading its reviews, or comparing it to a direct competitor are high-intent signals that indicate a prospect is near a purchasing decision. While platforms like Bombora offer broader, earlier-stage topic interest and 6sense provides predictive scores, G2 captures the explicit, late-stage research behavior that is most actionable for SaaS sales and marketing teams. Many companies achieve the best results by combining G2's bottom-of-funnel signals with other data sources for a full-funnel view.

Can you use Bombora, G2, and 6sense together?

Yes, using Bombora, G2, and 6sense together is a common and powerful strategy for mature revenue teams. 6sense is designed as an integrated platform that natively incorporates data from both Bombora and G2, allowing users to layer these signals into a unified view. This approach allows a company to combine Bombora's broad topic-based surge data with G2's high-intent marketplace signals inside the 6sense platform. 6sense then uses its AI to analyze these combined inputs, along with first-party data, to predict buying stages and orchestrate engagement with more precision than any single source could provide alone.

What is the typical ROI for intent data platforms?

The typical ROI for intent data platforms can be substantial, with benefits materializing in improved pipeline quality and sales efficiency. A 2022 Total Economic Impact study by Forrester Consulting found that organizations using 6sense Revenue AI could achieve a 454% ROI over three years, with the investment paying for itself in under six months. While specific ROI varies, a separate 2023 Forrester survey revealed that over 85% of companies using intent data achieved business benefits, most commonly citing increased response rates and more successful sales prospecting. These gains are driven by focusing sales and marketing efforts on accounts that are already demonstrating active buying signals, which leads to higher conversion rates and revenue growth.

How does third-party intent data compare to first-party signals?

Third-party intent data reveals which accounts are researching problems and solutions across the web, while first-party signals show how they engage directly with your brand's own website, emails, and content. Third-party data is essential for discovery, identifying in-market accounts that may not know you exist yet. First-party data is more precise for personalization and timing, as it reflects direct interest in your specific products. The most effective strategies combine both; using third-party data to find new targets and first-party data to understand their engagement level and tailor the follow-up.

Last updated: October 2026

Intent Data Showdown: Bombora vs. G2 vs. 6sense