Bombora vs G2 Intent: Which Data Source Is Better for Tech Sales?

Bombora vs G2 Intent: Which Data Source Is Better for Tech Sales?

Intent data has become a foundational input for B2B sales and marketing teams, particularly in the technology sector. The promise is simple: identify companies that are actively researching or evaluating solutions in your category, and reach them while they’re in-market. The reality is more nuanced. Not all intent data is created equal, and the two most prominent sources, Bombora and G2, work very differently, measure very different things, and produce very different results.

For tech sales teams deciding where to invest their intent data budget, the choice between Bombora and G2 depends on what you’re actually trying to accomplish. This comparison breaks down both platforms’ approaches, strengths, limitations, pricing, and how combining either with technographic data from tools like StackWho creates a more complete buying signal.

Understanding Intent Data: Two Fundamentally Different Approaches

Before comparing Bombora and G2 directly, it’s essential to understand that they measure entirely different types of buyer behavior.

Bombora: Topic-Level Content Consumption

Bombora measures intent by tracking content consumption across a cooperative of B2B media publishers. When employees at a company read articles, download whitepapers, attend webinars, or consume other content about specific topics at a rate higher than their historical baseline, Bombora flags that company as showing intent for those topics.

Bombora doesn’t tell you which specific product a company is evaluating. It tells you which topics a company is researching. If a company’s employees are consuming significantly more content about “cloud security” than they normally do, Bombora flags that as a topic surge. Your sales team then infers that the company may be in-market for cloud security solutions.

G2: Product-Level Review and Comparison Activity

G2 measures intent by tracking activity on the G2 marketplace itself. When employees at a company visit product profile pages, read reviews, compare products in a category, or download G2 reports, G2 captures that activity and packages it as intent data.

G2 intent is more specific than Bombora because it’s tied to actual product pages and category pages. G2 can tell you that a company is looking at your specific product or your competitor’s product page, not just researching a broad topic.

Bombora: Deep Dive

How Bombora Collects Data

Bombora operates the largest B2B intent data cooperative. Over 5,000 B2B media sites participate by sharing anonymized content consumption data from their visitors. Bombora maps this activity to company IP addresses (and increasingly to first-party identity data) and tracks consumption patterns across thousands of predefined topics.

The key mechanism is the surge score. Bombora compares a company’s current content consumption on a topic against its historical average. If a company that normally reads 2 articles per month about “CRM software” suddenly reads 15 articles in a week, Bombora assigns a high surge score. The surge, not the absolute volume, is what indicates active research.

Bombora Strengths

Breadth of coverage: Because Bombora tracks content consumption across thousands of sites, it captures research activity that happens long before a company ever visits a vendor website or a review site. Someone reading an industry article about “best practices for API security” is in early research mode. Bombora catches this activity that G2 and other lower-funnel sources miss entirely.

Early-stage intent detection: Bombora’s biggest advantage is timing. It detects intent signals weeks or months before a company shows up on vendor websites, review sites, or shortlists. For sales teams that want to influence the early stages of the buying process, Bombora provides the earliest possible signal.

Topic granularity: Bombora tracks over 12,000 topics, from broad categories (“cloud computing”) to specific technologies (“Kubernetes security”). This granularity lets you define precisely which topics matter for your product and avoid false positives from overly broad categories.

Scale of data: Bombora’s cooperative model generates data on millions of companies globally. The sheer volume of activity tracked means higher coverage, especially for less well-known companies that might not show up on G2 at all.

Platform integrations: Bombora integrates with nearly every major sales and marketing platform: Salesforce, HubSpot, 6sense, Demandbase, LinkedIn, and dozens more. This makes it relatively easy to operationalize Bombora data within existing workflows.

Bombora Limitations

Topic-level, not product-level: Bombora tells you a company is researching “email marketing software.” It doesn’t tell you whether they’re looking at Mailchimp, Klaviyo, or your product specifically. This ambiguity means sales teams need to do additional qualification work.

False positives from content marketing: Not all content consumption indicates buying intent. A company’s marketing team might be researching a topic to write their own content about it, not because they’re buying. An analyst might be reading about a topic for a report. A student might be researching for a project. Bombora’s model tries to filter these out through surge detection, but false positives are an inherent limitation.

IP-based attribution challenges: While Bombora has evolved beyond pure IP-based attribution, a significant portion of its data still relies on mapping web activity to company IP addresses. With widespread remote work, VPN usage, and mobile browsing, IP-based attribution has become less accurate. Companies are aware of this limitation and are investing in first-party identity solutions, but it remains a concern.

Opacity of the data: You can’t see which specific articles or content pieces triggered the intent signal. Bombora provides a topic and a surge score, but the underlying activity is opaque. This makes it difficult to tailor outreach to the specific research the prospect has been doing.

Pricing: Bombora is not cheap. Pricing is typically $25,000-$60,000+ per year depending on the number of topics tracked, account volume, and integrations. Some teams access Bombora data through platform partners (6sense, Demandbase, ZoomInfo) rather than buying direct, which can be more or less expensive depending on the partner agreement.

G2 Intent: Deep Dive

How G2 Collects Data

G2 collects intent data from activity on the G2 marketplace, one of the largest B2B software review sites with millions of monthly visitors. When someone visits a product page, reads reviews, compares products, or views a category page on G2, that activity is attributed to their company and packaged as buyer intent data.

G2 identifies visitors through a combination of IP-based company identification and first-party data from G2 user accounts. Verified reviewers on G2 provide explicit company information, which improves attribution accuracy for those companies.

G2 Strengths

Product-level specificity: G2’s biggest advantage is specificity. When G2 tells you a company viewed your product page, they viewed your product page. When they tell you a company compared your product to a competitor, that’s what happened. This specificity is far more actionable than Bombora’s topic-level signals.

Lower-funnel intent: Companies that visit G2 to read reviews and compare products are typically further along in their buying process than companies that are consuming general educational content. G2 intent signals correlate with active evaluation and shorter time-to-purchase.

Competitive intelligence: G2 can tell you when a company visits a competitor’s product page. This is extraordinarily valuable competitive intelligence. If a prospect is looking at your competitor on G2, you can preemptively address competitive objections or accelerate your engagement.

Review-based credibility: G2’s data is grounded in a context that buyers trust: peer reviews. The fact that a company is on G2 reading reviews indicates they value peer validation, which means review-based selling motions will resonate with them.

Category-level visibility: G2 can identify companies browsing entire software categories (not just specific products). This catches companies that are early in their G2 research and haven’t narrowed to specific vendors yet.

G2 Limitations

Limited coverage: G2’s data only captures activity that happens on the G2 website. Many buying processes never touch G2 at all. Enterprise buyers, in particular, often rely on analyst firms (Gartner, Forrester), vendor briefings, and peer networks rather than review sites. If your target market doesn’t use G2, G2 intent data won’t help.

Late-stage bias: G2 intent skews toward mid-to-late-stage buying activity. By the time a buyer is on G2 reading reviews and comparing products, they’ve often already formed a shortlist and may have already engaged with vendors. You might detect them too late to influence the early framing of the evaluation.

Smaller signal volume: Because G2 only captures activity on one site (albeit a large one), the total volume of intent signals is smaller than Bombora’s. You’ll see fewer companies flagged, which means G2 intent is best used as a high-confidence supplement rather than a primary prospecting engine.

Software-centric coverage: G2 covers software products. If you sell hardware, services, infrastructure, or non-software technology, G2’s category coverage may not include your market.

Pricing: G2 Buyer Intent is typically sold as part of G2 Marketing Solutions, with pricing ranging from $15,000-$50,000+ per year depending on the tier and data access. Pricing is negotiable and varies based on your G2 profile tier (free, paid, etc.) and the volume of data access.

Head-to-Head Comparison

Accuracy and Confidence

G2 wins. G2’s product-level signals are inherently more accurate for predicting purchase intent because the activity is directly tied to vendor evaluation. When G2 says a company is looking at CRM software, they’re literally looking at CRM software on a review site. When Bombora says a company is surging on “CRM,” they could be researching the topic for any number of reasons.

Coverage and Scale

Bombora wins. Bombora’s cooperative of thousands of media sites generates signals across a much larger surface area of the internet. More companies are captured, and earlier-stage research activity is detected. If coverage and early detection matter more than precision, Bombora has the advantage.

Timing (How Early You Detect Intent)

Bombora wins. Bombora detects research activity that happens weeks or months before a buyer visits G2. Content consumption is a leading indicator; review site visits are a lagging indicator. For sales teams that want maximum lead time, Bombora provides earlier signals.

Actionability

G2 wins. Knowing that a company visited your specific product page on G2 is immediately actionable. You know what to say, you know the competitive context, and you know the buyer is actively evaluating. Bombora’s topic-level signals require more interpretation and qualification before they’re actionable.

Competitive Intelligence

G2 wins. G2 can tell you which competitor pages a prospect visited. Bombora can only tell you they’re researching a topic. For competitive selling, G2’s data is dramatically more useful.

Integration Ecosystem

Tie. Both platforms integrate with the major sales and marketing tools. Bombora has slightly more integrations due to its longer time in market and its embedding in platforms like 6sense and Demandbase. G2 integrates with Salesforce, HubSpot, Slack, and most ABM platforms.

Pricing

Comparable. Both are in the $15,000-$60,000+ annual range depending on tier and data access. Neither is cheap, and both represent significant investments for small and mid-market teams.

The Best Approach: Combining Intent Data with Technographic Data

The most sophisticated sales teams don’t choose between Bombora and G2. They layer multiple data sources to create a high-confidence buying signal. And the data source that most effectively complements both Bombora and G2 is technographic data.

Why Technographic Data Complements Intent Data

Intent data tells you a company is researching. Technographic data tells you what they’re currently using. The combination is powerful:

• Intent + competitor technology = displacement opportunity. A company surging on your product category (Bombora) or viewing your competitor’s G2 page, combined with the knowledge that they currently run a competitor’s product (technographic data from StackWho), gives you a fully qualified competitive displacement opportunity.
• Intent + no current technology = greenfield opportunity. A company researching a category they don’t currently have a solution for is a greenfield prospect. You know they have intent AND they have an unmet need.
• Intent + technology change = active migration. A company showing intent for a category while simultaneously changing related technologies in their stack is almost certainly in an active buying process. This is the highest-confidence signal available.

Building a Multi-Source Signal Stack

Here’s how to combine Bombora, G2, and technographic data into a unified signal model:

1. Start with your technographic baseline. Use StackWho to identify companies currently using competitor products, companies with technology gaps in your category, and companies making technology changes relevant to your product.
2. Overlay intent data. From either Bombora or G2 (or both), identify which of those companies are also showing active research intent.
3. Score the combined signal. A company that (a) currently uses a competitor, (b) is showing intent in your category, and (c) has recently changed adjacent technologies is a far stronger signal than any single data point alone.
4. Prioritize and route. Send the highest-scoring signals to account executives for immediate, personalized outreach. Send mid-scoring signals to SDRs for qualification. Put lower-scoring signals into nurture sequences.

Signal Scoring Framework

Assign points to each data source and sum them for a total signal score:

• G2: Visited your product page: 10 points
• G2: Visited competitor product page: 8 points
• G2: Browsing your category: 5 points
• Bombora: High surge score (80+) on relevant topic: 7 points
• Bombora: Medium surge score (60-79) on relevant topic: 4 points
• Technographic: Currently uses competitor product: 6 points
• Technographic: Recently changed related technology: 8 points
• Technographic: No solution in your category: 5 points
• Company matches ICP: 5 points

Signals scoring 20+ are high-priority sales-ready leads. Signals scoring 12-19 go to SDRs for qualification. Signals below 12 enter nurture sequences.

When to Choose Bombora

Choose Bombora as your primary intent data source if:

• You need early-stage intent. Your sales cycle is long, and you want to influence the buying process from the earliest research stage.
• Your market doesn’t use G2. Enterprise buyers, non-software categories, and highly specialized markets may not generate enough G2 activity to be useful.
• You use an ABM platform. If you’re already on 6sense, Demandbase, or a similar platform, Bombora data may be included or deeply integrated, reducing the incremental cost.
• You sell to a wide market. Bombora’s broader coverage captures more companies, which matters if you have a large total addressable market.

When to Choose G2

Choose G2 as your primary intent data source if:

• You sell B2B software in a category well-represented on G2. G2’s data is most valuable in software categories with active review communities.
• You need high-confidence, actionable signals. G2’s product-level specificity produces signals that can be acted on immediately without additional qualification.
• Competitive intelligence is critical. If knowing which competitors a prospect is evaluating is essential to your sales process, G2 provides this uniquely.
• Your sales cycle is short. G2 intent catches buyers at a later stage, which is fine if your sales cycle is measured in weeks rather than months.
• You already invest in your G2 profile. If you’re actively collecting reviews and maintaining your G2 presence, adding buyer intent data amplifies your G2 investment.

When to Choose Both

Many enterprise sales teams use both Bombora and G2 because they capture different stages of the buying journey:

• Bombora catches companies in early research (weeks to months before purchase)
• G2 catches companies in active evaluation (days to weeks before purchase)
• A company appearing in both data sources is a very high-confidence signal

If your budget allows, using both sources with technographic data from StackWho as the foundational layer creates the most complete picture of buyer activity in your market.

The Role of Technographic Data as the Foundation

Intent data is temporal. It tells you what’s happening right now. Technographic data is structural. It tells you what the company’s technology environment looks like, regardless of whether they’re actively in-market today.

This makes technographic data the most cost-effective starting point for any sales intelligence stack:

• It identifies your total addressable market (companies using relevant technologies)
• It qualifies prospects based on their current technology environment
• It persists over time (technology stacks change slowly compared to intent signals)
• It provides context for every intent signal (“this company surging on CRM topics currently runs Salesforce”)

Start with StackWho to build your technographic foundation, then layer on intent data from Bombora, G2, or both to identify which companies in your addressable market are actively in-market right now. That combination of structural qualification and temporal signal is the most effective targeting approach available to B2B sales teams in 2026.