A 2024 comparison of Bombora, G2, and 6sense, analyzing their distinct B2B intent data sources, signal types, and typical use cases for ABM platforms.

In 2024, the primary difference between Bombora, G2, and 6sense lies in their data sources and scope. Bombora aggregates early-funnel research signals from a cooperative of over 5,000 B2B websites. G2 captures late-funnel buying signals from its software review marketplace, including competitor comparisons. 6sense operates as a full ABM platform, combining its own network data with third-party sources like Bombora and G2 to predict which accounts are in-market. The 2023 Gartner Magic Quadrant for Account-Based Marketing Platforms underscores the importance of multi-source intent data, naming 6sense and Demandbase as Leaders.

TL;DR

Bombora's Company Surge® data identifies accounts with above-average research activity on 25,300+ topics, sourced from a cooperative of nearly 6,000 B2B publisher websites.
G2 Buyer Intent provides high-value, late-stage signals by tracking which companies research specific products, categories, and competitors on its software marketplace.
6sense's Revenue AI platform is a full ABM solution that ingests its own data plus signals from partners like Bombora and G2 to predict which accounts are in a buying cycle.
Gartner's 2023 Magic Quadrant for ABM Platforms named 6sense and Demandbase as the two Leaders, recognizing their comprehensive data and activation capabilities.
Pricing structures differ significantly: Bombora is a data feed starting around $25,000-$40,000 annually, while 6sense is a platform often costing over $60,000.

What Are the Core Types of B2B Intent Data?

First-party intent data is the most reliable and impactful class of buying signal because it is collected directly from an organization's owned digital properties. This category includes behavioral information from sources like your company website, CRM history, email engagement, and marketing automation platforms. For example, when a known contact from a target account visits your pricing page or downloads a technical whitepaper, that action generates a high-fidelity first-party signal. According to a 2023 research report, 55% of B2B marketers use a combination of first-party and third-party data, but 75% of that majority relies more heavily on their own first-party data. The primary value of this data type is its directness; there is no ambiguity about the source or the context of the user's interaction. Platforms like Salesforce, through products such as its 2024 State of Sales report, emphasize tracking these interactions to understand customer needs. This direct evidence of interest, gathered from channels you control, allows for precise personalization and timely follow-up, forming the bedrock of any effective account-based marketing strategy by revealing which known accounts are actively engaged.

Second-party intent data is another company's first-party data, acquired through a direct partnership or commercial relationship, offering a wider view of a potential customer's research activities. The most prominent example in the B2B technology space is G2 Buyer Intent data, which is sourced from user activity across G2's software marketplace and its affiliated review sites like Capterra and Software Advice. G2 captures high-value, late-funnel buying signals when a user from an identifiable company views your product profile, reads reviews, or, most significantly, runs a direct comparison between your product and a competitor's. These actions indicate a buyer is moving beyond general research and into active evaluation. G2's platform claims to track over 100 million buyers, providing deep visibility into which accounts are demonstrating purchase intent for specific software categories. This data is considered more accurate than broad third-party signals because it originates from a trusted, context-rich environment where buyers are explicitly comparing solutions. Accessing this data, typically through a paid G2 vendor profile, allows marketing and sales teams to prioritize outreach to accounts that are actively weighing their options.

Third-party intent data provides the broadest view of account-level interests by aggregating behavioral signals from a massive number of external sources. One key method is the data cooperative model, exemplified by Bombora's Company Surge® product. Bombora collects and analyzes content consumption from a network of nearly 6,000 B2B publisher websites, creating a baseline of an account's typical research behavior and then flagging when that account shows a significant increase in interest, or "surge," on specific topics. Another prevalent form of third-party data is bidstream data, which is harvested from the real-time bidding auctions that place advertisements on websites. As ad exchanges process billions of daily bid requests, they transmit data packets that include the user's IP address and the content of the page being viewed. Vendors like Demandbase and ZoomInfo leverage this bidstream data to observe B2B research activity across over a million web publishers, identifying accounts that are consuming content related to specific business solutions. While powerful for discovering new, in-market accounts, the quality of third-party data can vary; co-op data is generally considered higher quality than bidstream data, which can sometimes produce false positives.

Data Type	Primary Source	Typical Signals	Key Vendors / Examples	Primary Funnel Stage
First-Party	Your own website, CRM, and marketing automation tools.	Pricing page visits, demo requests, content downloads, webinar attendance.	Salesforce, HubSpot, Marketo	Mid to Late Funnel
Second-Party	Another company's first-party data, shared via partnership.	Product comparisons, review views, category page views on a marketplace.	G2 Buyer Intent, Capterra	Late Funnel
Third-Party (Co-op)	A cooperative of B2B publisher and vendor websites.	Increased research on specific topics compared to a historical baseline.	Bombora Company Surge®	Early to Mid Funnel
Third-Party (Bidstream)	Real-time bidding (RTB) ad exchanges.	Content consumption and ad interactions across millions of websites.	Demandbase, ZoomInfo	Early Funnel
Third-Party (Review Sites)	Aggregated from software review and comparison sites.	Viewing product alternatives, comparing features, reading user reviews.	TrustRadius, G2	Mid to Late Funnel

Bombora's Cooperative Model: How Company Surge® Works

Bombora's core offering, Company Surge®, derives its power from a vast B2B Data Cooperative, a unique ecosystem of nearly 6,000 publisher and brand websites. This cooperative model allows Bombora to monitor billions of content consumption events each month, tracking the research activities of millions of companies across a wide spectrum of B2B topics. A significant portion of this data, specifically 86%, is exclusive to Bombora, meaning other intent data providers cannot access these particular signals. This exclusivity provides a distinct advantage, offering users a view of intent that is not only broad but also contains unique insights unavailable elsewhere. The data is collected through a proprietary, consent-driven tag on every site within the co-op, ensuring compliance with privacy standards like GDPR and CCPA while capturing a massive volume of behavioral data. This foundation enables the Company Surge® Q4 2024 platform to identify which businesses are actively researching specific products and services, providing a critical early-funnel signal for go-to-market teams.

The central mechanism of Company Surge® is its method for identifying a statistically significant increase in a company's research activity on a specific topic. Bombora establishes a historical baseline of normal content consumption for each company over a 12-week period. The platform then compares recent activity, typically from the last three weeks, against this baseline to detect unusual spikes in interest. When a company's research intensity surpasses a predefined threshold, receiving a 'Surge Score' of 60 or higher, it is flagged as actively 'surging' on that topic. This baseline-relative methodology, as detailed in a late 2026 analysis from MarketBetter.ai, is crucial for filtering out routine browsing and capturing genuine shifts in research behavior that indicate active buying intent. This process transforms raw data into a prioritized list of accounts, allowing sales and marketing teams to focus their resources on the 20% of prospects who are most likely to make a purchase.

A defining characteristic of Bombora's data is that it is delivered at the account level, not the individual level. This means the platform identifies which company is showing heightened intent, rather than pinpointing a specific person within that organization. This account-centric view is ideal for account-based marketing (ABM) strategies, enabling teams to prioritize entire organizations for targeted advertising, outreach, and content personalization. While it doesn't reveal the individual researcher, it provides the critical 'who' at a company level, which sales teams can use to tailor their outreach based on the topics the account is actively exploring. This focus on the buying center, rather than a single lead, aligns with the complex nature of B2B purchasing, where decisions are often made by a committee of multiple stakeholders.

Bombora's Company Surge® data is designed for seamless integration into existing sales and marketing workflows, functioning as a standalone data feed that connects with most major technology stacks. The platform offers native integrations with over 50 leading CRM and marketing automation platforms, including Salesforce, HubSpot, and Marketo. This allows go-to-market teams to access and action the intent signals directly within the tools they use daily, such as using a surge signal in a HubSpot workflow to trigger an automated campaign. For example, a 2025 case study showed that integrating Company Surge® with HubSpot helped one company discover over 300% more net-new, high-intent accounts. This partner-first strategy, which embeds data where teams already work, is a key differentiator, ensuring that the valuable signals about which accounts are in-market can be operationalized quickly and efficiently across sales, marketing, and advertising channels.

G2's Marketplace Signals: Capturing Late-Stage Purchase Intent

G2's Buyer Intent data is generated by verified user activity across its expansive software marketplace, which serves as a digital hub for late-stage evaluations. Following its February 2026 acquisition of Capterra, Software Advice, and GetApp from Gartner, G2's data ecosystem now incorporates signals from all four properties. This consolidation means that when a potential buyer researches a software category, reads reviews, or compares products on any of these sites, the activity can be captured as an intent signal. With over 100 million global buyers visiting G2.com annually and a catalog of over 200,000 products and services, the platform captures a significant volume of high-value behavioral data. Unlike broad, topic-based intent data that signals early-stage research, G2's data focuses on purchase-proximate actions taken by buyers who are actively shortlisting and selecting vendors. This distinction is critical in a market where, according to Forrester's Buyers' Journey Survey, 2024, 92% of B2B buyers have already formed a shortlist by the time they begin a formal purchase process.

The signals G2 captures are considered high-value because they directly reflect a buyer's progression to the bottom of the sales funnel. Key actions include viewing a specific product's profile, visiting its pricing page, and, most significantly, using G2's tools to make direct comparisons between competitors. For instance, a signal showing an account viewed a G2 comparison page for 'Salesforce Sales Cloud vs. HubSpot Sales Hub' indicates a much more advanced buying stage than a signal showing research on the general topic of 'CRM'. This activity is a direct proxy for active evaluation. In fact, G2's 2025 Buyer Behavior Report highlighted that generative AI is increasingly used for initial discovery, making the specific, human-driven evaluation activities on marketplace platforms even more potent indicators of serious intent. These late-stage signals are crucial for sales and marketing teams trying to identify and engage the small fraction of their target market, estimated by some research to be only 5%, that is actively in-market at any given time.

Vendors can access this late-stage intent data through a paid G2 profile, which makes the signals available for activation within their existing go-to-market platforms. G2 provides direct integrations for leading CRM and marketing automation systems, including Salesforce, HubSpot, and account-based marketing platforms like 6sense and Demandbase. This connectivity allows revenue teams to operationalize the data seamlessly. For example, when an account from a target list views a vendor's pricing page on G2, that signal can be sent to the G2 Connector for Salesforce, creating or updating a record and alerting the assigned account owner. Similarly, the G2 + HubSpot integration allows teams to enroll accounts showing specific intent signals into tailored nurturing workflows or ad campaigns. By embedding these high-fidelity, bottom-of-funnel signals directly into sales and marketing workflows, organizations can prioritize outreach, personalize engagement, and accelerate sales cycles with accounts that are demonstrably close to making a purchase decision.

6sense's Revenue AI: The All-in-One Platform Approach

6sense's Revenue AI platform functions as a comprehensive Account-Based Marketing (ABM) solution, extending far beyond the role of a simple intent data provider to actively orchestrate sales and marketing actions. Unlike vendors that only supply lists of surging accounts, 6sense integrates directly into a company's go-to-market workflow, triggering automated actions based on account behavior. For example, the platform can automatically launch dynamic display ad campaigns, alert sales representatives via email or Slack when a target account shows increased engagement, or enrich CRM records with missing firmographic data. This orchestration capability is designed to bridge the gap between insight and action, enabling revenue teams to engage the right buyers from the right accounts with personalized messaging across multiple channels, including email, social media, and web advertising. The company's 2026 product evolution, which sunsets the legacy "Orchestrations" module in favor of a more flexible "Intelligent Workflows" system, underscores its focus on providing users with greater control over multi-step campaign automation and data enrichment.

The platform's predictive intelligence is fueled by a sophisticated data aggregation strategy that combines a client's own first-party data with a wide array of third-party intent signals. 6sense natively integrates with a company's Customer Relationship Management (CRM) and Marketing Automation Platform (MAP) systems, such as Salesforce, HubSpot, and Marketo, to analyze historical and real-time customer interactions. This first-party data, which includes website visits, email responses, and sales outreach, is then blended with third-party signals from 6sense's proprietary network of B2B publishers, bidstream data, and key partners. Notably, 6sense complements its native intent data capabilities with formal partnerships with other leading providers, including Bombora, G2, and TechTarget, allowing customers to centralize multiple intent sources within a single platform. This blended model provides a more holistic view of account activity, capturing both explicit buying signals from software review sites like G2 and early-stage research behavior from Bombora's cooperative of over 5,000 B2B websites.

The core of the 6sense Revenue AI engine lies in its ability to use this blended data to predict which accounts are actively in a buying cycle and precisely where they are in their journey. The platform's machine learning models analyze billions of monthly interactions, pattern-matching current account behavior against historical data from past won opportunities to assign a predictive buying stage: Target, Awareness, Consideration, Decision, or Purchase. These AI models, trained on over a decade of B2B purchase data, evaluate hundreds of signals, including keyword research, competitor comparisons, website engagement, and firmographics, to move beyond simple intent spikes. When an account that fits the Ideal Customer Profile (ICP) reaches a critical buying stage like Decision or Purchase, it is flagged as a 6sense Qualified Account (6QA), triggering alerts for sales teams to prioritize immediate outreach while marketing maintains coordinated air cover. This predictive qualification removes guesswork and allows revenue teams to focus resources on accounts with a proven propensity to buy.

Industry analysts have consistently recognized 6sense for its comprehensive platform capabilities and market leadership. For the fifth consecutive year, Gartner named 6sense a Leader in its 2023 Magic Quadrant for Account-Based Marketing Platforms. In the report, Gartner evaluates vendors on their "Ability to Execute" and "Completeness of Vision," and 6sense's continued placement in the Leaders quadrant highlights its strength in the market. The 2023 report specifically cited 6sense as having the highest score for Ability to Execute among all evaluated vendors, also giving it the highest scores for Multi-Channel Journey Orchestration and Sales Alerts and Insights. This recognition validates the platform's all-in-one approach, which combines robust, multi-source intent data with the AI-driven workflows necessary to act on those insights and drive predictable revenue growth.

Comparison Matrix: Data Sources, Signals, and Use Cases

The foundational difference between Bombora, G2, and 6sense in 2024 lies in their data sourcing methodologies, which dictates the type of intent each platform captures. Bombora operates the B2B world's largest data cooperative, a consent-based network of nearly 6,000 publisher and brand websites where it observes anonymized research behavior. This model, where 86% of the data is exclusive to Bombora, allows it to generate its Company Surge® reports by tracking when a specific company's content consumption on a topic spikes above its historical baseline. In contrast, G2's Buyer Intent data originates directly from its own software marketplace and affiliated review sites like Capterra and Software Advice. It captures explicit, late-stage buying signals, such as when a user from a specific company views a product's pricing page, reads reviews, or places it on a comparison page against direct competitors. 6sense functions as an end-to-end Account-Based Marketing (ABM) platform, not just a data provider. It creates a hybrid data model by combining its own proprietary signals with third-party data from sources including Bombora and G2, layering this with a company's first-party data (like website visits) to predict which accounts are in-market.

These distinct data sources produce fundamentally different signal types that map to separate stages of the buyer journey. Bombora excels at identifying early-stage, top-of-funnel 'topic interest'. For example, its Company Surge® data might show that a target account is suddenly researching the topic 'cloud security' more intensely than usual, signaling a potential need long before a specific vendor is chosen. This is crucial, as a 2025 6sense study of 2,509 B2B buyers found that 81% of buyers have already chosen their preferred vendor before ever speaking with a sales representative. G2, on the other hand, provides late-stage, bottom-of-funnel 'product evaluation' signals. Its data answers questions like, 'Which companies are comparing my product to a specific competitor right now?' or 'Who is looking at my pricing page?'. This signal is much sharper and indicates a buyer is actively making a selection. 6sense aims to bridge this entire journey by using its AI-powered platform to interpret blended signals and predict an account's specific buying stage, from initial awareness through decision and purchase. This predictive capability is a core differentiator, moving beyond raw signals to provide actionable sales and marketing intelligence.

The optimal use case for each provider flows directly from its data source and signal type, highlighting the critical distinction between a data provider and an end-to-end platform. Bombora is primarily a data provider, ideal for top-of-funnel activities like building broad advertising audiences, prioritizing accounts for long-term nurture campaigns, and informing content strategy based on trending topics. Its data is designed to be fed into other systems, such as a CRM, a marketing automation platform, or an ABM platform like 6sense or Demandbase. G2 is also a data provider, but its high-intent, late-funnel signals are best used to trigger immediate sales outreach and competitive displacement campaigns. For instance, a signal that a key account is viewing competitor comparisons can trigger an alert for an account executive to engage immediately. 6sense operates as a comprehensive ABM platform that includes its own data, analytics, and activation tools. This is reflected in its consistent placement as a Leader in the Gartner® Magic Quadrant™ for Account-Based Marketing Platforms, where it was positioned highest for its Ability to Execute in the November 2024 report. Consequently, 6sense is built for teams that want a single system to identify in-market accounts, predict their buying stage, and orchestrate multi-channel engagement like advertising and sales plays.

Vendor	Primary Data Source	Signal Type	Primary Funnel Stage	Primary Use Case
Bombora	Proprietary co-op of ~6,000 B2B publisher websites.	Topic Interest Surge: An account is researching a topic more than its baseline.	Top-of-Funnel (Awareness)	Broad audience building and advertising; informing content strategy.
G2	First-party activity on its software review marketplace (G2.com, Capterra, etc.).	Product Evaluation: An account views pricing, comparisons, or competitor profiles.	Bottom-of-Funnel (Decision/Purchase)	Triggering immediate sales outreach; competitive displacement campaigns.
6sense	Hybrid: Aggregates third-party (Bombora, G2), first-party, and proprietary network data.	Predictive Buying Stage: AI model determines if an account is in Awareness, Consideration, etc.	Full Funnel	End-to-end ABM platform for account prioritization, prediction, and multi-channel activation.
Demandbase	Hybrid: Aggregates third-party, first-party, and its own proprietary data sources.	Account-Level Engagement: Combines intent signals with firmographics and website activity.	Full Funnel	An end-to-end ABM platform often noted for its advertising and account intelligence capabilities.
ZoomInfo	Primarily a B2B contact database, with intent signals from its own network and technographics.	Mixed Signals: Includes funding events, hiring data, and some topic research.	Mid-Funnel (Consideration)	Enriching contact data with intent signals for sales prospecting within a single platform.

How Do Leaders Integrate These Data Sources for Maximum ROI?

Leading B2B organizations achieve maximum return on investment by implementing a multi-source intent data strategy, layering broad, top-of-funnel signals with high-resolution, bottom-of-funnel triggers. This approach commonly involves using a provider like Bombora to cast a wide net for market intelligence, identifying accounts showing early research interest across its cooperative of over 5,000 B2B websites. These signals, such as those found in Bombora's Company Surge® reports, indicate general research into relevant topics. This broad-stroke intelligence is then complemented by high-intent signals from a platform like G2, which captures data on accounts actively comparing specific software solutions, viewing competitor pages, and reading reviews. G2 and Bombora themselves have partnered to create a powerful integration that overlays Bombora's topic-level research data directly onto G2's buyer-intent dashboards, allowing teams to prioritize accounts showing intent across both the broader web and the specific G2 marketplace. Research validates this combined approach, with over half of marketers (55%) reporting the use of a mix of first-party and third-party data sources for a more comprehensive view.

Unifying these disparate data streams into a single, actionable view of account activity requires a sophisticated central platform, with vendors like 6sense and Demandbase emerging as market leaders. These platforms function as the central nervous system for an account-based marketing program, ingesting signals from numerous sources, including first-party website activity, CRM data, and third-party feeds from Bombora and G2. For instance, the 6sense Revenue AI™ platform offers direct integrations to [add Bombora and G2 intent topics](https of the buyer journey, from initial awareness to active evaluation. Demandbase offers similar capabilities, emphasizing its ability to combine first-party data with its own third-party B2B data to create a 360-degree view of each account. This unification is critical; without it, valuable signals remain fragmented across multiple systems, making it impossible for sales and marketing teams to coordinate a timely and relevant response.

The primary challenge in leveraging multi-source intent data is not data acquisition but rather workflow integration and organizational alignment. The value of intent signals decays rapidly; one study suggests B2B contact data can decay by as much as 70.3% per year, and another notes that 35-50% of deals go to the vendor that responds first. This makes speed-to-lead paramount. However, many organizations struggle to make insights actionable, with one report citing this as a top challenge for marketers. The problem is often a disconnect between the data platform and the daily workflows of sales and marketing teams. If a salesperson has to log into a separate dashboard to see that an account is surging, the signal is often ignored or acted upon too late. Effective integration means piping these signals directly into the systems that teams already use, such as Salesforce or HubSpot, and creating automated alerts and task assignments that trigger immediate, specific follow-up actions. This requires a clear plan for how to interpret and act on different signals before the data becomes stale and the opportunity is lost.

A significant financial and human resource commitment is necessary to effectively manage a multi-source intent data strategy, with costs varying dramatically between a standalone data feed and a full-service platform. A subscription to Bombora's Company Surge® data might start around $30,000 per year, providing a raw feed of topic-based intent signals that can be integrated into an existing tech stack. In contrast, licensing a comprehensive ABM platform like 6sense or Demandbase often requires an investment exceeding $100,000 annually, with some enterprise contracts reaching $150,000 or more. This higher cost reflects the platform's expanded capabilities, which include predictive analytics, account identification, and multi-channel campaign orchestration. However, the platform cost is only part of the total investment. To achieve a positive return, organizations must also dedicate a team, or at least a full-time administrator, to manage the platform, build workflows, train users, and analyze performance. Without this dedicated operational support, companies risk purchasing a powerful tool that goes largely unused, failing to generate the incremental pipeline needed to justify its significant cost.

Frequently Asked Questions

What is the main difference between Bombora and G2 intent data?

The main difference between Bombora and G2 is the source and type of intent signal they capture. Bombora provides broad, top-of-funnel intent data by tracking topic-level content consumption across a cooperative of over 5,000 B2B websites, indicating early research interest. In contrast, G2 provides narrow, bottom-of-funnel intent from its own software marketplace, capturing high-value buying signals like product comparisons and review lookups. This means Bombora is ideal for identifying a wide audience showing initial interest, while G2 is better for pinpointing accounts actively evaluating software for purchase.

Is 6sense more accurate than Bombora?

Comparing the accuracy of 6sense and Bombora is a misunderstanding of their functions; 6sense is an ABM platform, while Bombora is an intent data provider. In fact, 6sense is a Bombora partner and integrates Bombora's Company Surge® data directly into its platform, combining it with its own proprietary data and signals from other sources. The value of 6sense is its AI-driven predictive model, which analyzes these multiple data inputs to score accounts and predict their buying stage. Therefore, 6sense doesn't replace Bombora's data but rather enhances it with an additional layer of analysis and orchestration.

How much does B2B intent data from Bombora, G2, and 6sense cost?

The costs for these services are quote-based and vary, but typical annual pricing is distinct. Bombora's Company Surge® data generally starts around $25,000 to $30,000 per year, with mid-market plans often landing in the $50,000 to $100,000 range depending on topic volume. G2's Marketing Solutions, which include its buyer intent data, typically start around $25,000 annually, with add-ons increasing the price. 6sense, being a full ABM platform, has the highest entry point, with mid-market contracts often starting between $60,000 and $100,000 and enterprise deployments exceeding $250,000.

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

Yes, using Bombora, G2, and 6sense together is not only possible but a common strategy for a comprehensive view of buyer intent. As an ABM platform, 6sense is designed to ingest and unify multiple data sources, including its own network, Bombora's topic-level research data, and G2's buyer-level review data. This multi-source approach allows marketing and sales teams to see the entire customer journey, from early-stage research signals identified by Bombora to late-stage buying signals from G2. 6sense then uses its AI to predict which accounts are truly in-market, orchestrating campaigns based on this holistic data set.

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

Bombora's Company Surge® data is generally best for top-of-funnel marketing and identifying early-stage awareness. This is because its model is based on a broad data cooperative of over 5,000 B2B publisher websites, capturing account-level interest in specific topics as users begin their research. This allows marketers to run brand awareness campaigns and deliver general messages to accounts that are not yet actively in a buying cycle but are consuming relevant content. The data helps prioritize accounts for nurturing long before they show explicit purchase intent on a review site or a company's own website.

What is the difference between an intent data provider and an ABM platform?

The primary difference is that an intent data provider supplies signals, while an Account-Based Marketing (ABM) platform is a comprehensive software solution that uses those signals to orchestrate campaigns. An intent data provider, like Bombora, specializes in collecting and selling raw data that indicates a company may be in-market for a product or service. An ABM platform, such as 6sense, is a much broader tool that ingests intent data from one or more providers, combines it with other data sources, and provides features for account identification, segmentation, advertising, and measurement. In essence, the data provider offers the 'what' (which accounts are showing interest), while the ABM platform provides the 'how' (how to engage those accounts effectively).

Last updated: October 2026

B2B Intent Data: A Bombora vs. G2 vs. 6sense Comparison