There is a version of this article that leads with a punchy stat about how most of the buyer journey happens before your reps ever make contact, and then spends 3,000 words explaining why intent data is the solution to that problem.
This is not that article.
Intent data is genuinely useful for specific teams in specific situations. It is also expensive, frequently misunderstood, and easy to overpay for in ways that produce nothing except a weekly report that nobody reads. The honest version of this topic requires explaining both what it is and when it actually moves the needle, versus when it is a line item you signed because it sounded smart in a vendor demo.
What Intent Data Actually Is
Intent data is information about what companies are researching online, surfaced before they ever contact a vendor.
Here is the basic premise. When someone at a company starts seriously evaluating a category of software, they do not start by calling vendors. They read articles, compare products on review sites, download whitepapers, search for competitor comparisons, and spend time on industry publications. All of that activity leaves a digital trail. Intent data is the attempt to capture and interpret that trail at the company level.
The logic is straightforward. If you could know that a company started heavily researching “sales engagement software” six weeks before they are ready to buy, you could reach out earlier than your competitors, with more relevant messaging, at a moment when they are already thinking about the problem you solve. You would stop fishing blindly and start targeting companies that are actively in-market for what you sell.
That is the theory. The practice is more complicated.
The Types of Intent Data
Not all intent signals are created equal, and understanding the difference matters for evaluating which tools are worth paying for.
First-party intent is data from your own properties. Website visits, form fills, demo requests, product page views, pricing page visits, email opens. This is the highest-quality intent signal you can have because it is direct. Someone on your website looking at your pricing page is expressing very clear interest. You already own this data. It lives in your analytics and CRM. Tools like Warmly and Clearbit, now part of HubSpot, help you identify and act on these signals in real time.
Third-party intent is data from across the broader web, aggregated by providers who track content consumption on thousands of B2B websites. This is what Bombora sells. They operate a co-op of 5,000 or more B2B publisher websites. When companies browse these sites, their content consumption patterns get tracked, mapped to topic categories, and compared against that company’s historical baseline. If a company’s research activity around a topic spikes well above their normal level, Bombora flags it as a Company Surge. You see which accounts are surging on topics related to what you sell. The insight is broad but imprecise, and it is always company-level, never individual-level.
Second-party intent sits in the middle. It comes from platforms where real buying behavior happens explicitly. G2 Buyer Intent is the clearest example. When buyers actively compare products on G2, read reviews, and visit competitor pages in your category, that is high-confidence signal because the behavior is explicitly evaluative, not passive content browsing. TechTarget works similarly for IT decision makers. These signals are narrower in volume but higher in quality.
Derived intent is what platforms like 6sense and Demandbase produce. They take multiple signal sources including third-party data, first-party data, review site behavior, and their own proprietary signals, and run AI models on top to predict where an account sits in the buying journey. Instead of just “this company is researching sales software,” they tell you “this account is in the decision stage of buying a sales engagement platform.” The output is more actionable but the methodology is a black box, and the models produce confident-sounding predictions that are sometimes wrong in ways that are hard to detect.
How Bombora Works
Bombora is the foundational third-party intent data source in B2B. Understanding how it works helps you evaluate what you are actually buying.
The core product is Company Surge. Bombora places tracking tags on 5,000 plus B2B publisher websites. When someone visits those sites, the content they consume gets mapped to one of 13,000 plus topic categories. This is anonymous at the individual level. What Bombora tracks is which company the IP address belongs to, not who the specific person is.
For every company, Bombora builds a baseline of how much they normally research each topic category over a rolling 12-week period. When a company’s recent research on a topic spikes significantly above their baseline, that is a surge. You receive a weekly report showing which companies in your target market are surging on topics relevant to your product.
The limitations are real and vendors do not always advertise them clearly.
It is company-level, not contact-level. Bombora tells you that a company is researching “marketing automation software.” It does not tell you who at that company is doing the research, whether it is the CMO evaluating tools or an intern writing a competitive analysis. You still have to go find the right contacts yourself.
The data refreshes weekly, not in real time. By the time a surge shows up in your report, the research activity may have already peaked. Competitors who reach out during the surge rather than after it can engage accounts before you do.
False positives are a real problem. A surge is triggered whenever a company’s research activity on a topic spikes above baseline. But that spike could mean many things. Maybe the marketing team is creating content about the category. Maybe an analyst is doing competitive research. Maybe a new employee is getting up to speed on the industry. Not every surge represents an active purchase decision. Independent estimates put false positive rates at 20 to 40 percent depending on topic and company.
Pricing starts around $25,000 to $30,000 per year for basic Company Surge access. Most enterprise implementations run $50,000 to $100,000 or more depending on topic count, data volume, and integrations. Standalone Bombora has no free trial and requires a sales consultation before you can see pricing.
How 6sense Works
6sense is a different product category from Bombora even though they are often compared. 6sense is an account engagement platform that uses intent data as one input into a larger predictive model.
The core thing 6sense does is predict buying stage. Not just “this company is researching your category” but “this account is in the consideration phase of evaluating your category, with a predicted purchase window in the next 90 days.” That is a more actionable output than a surge score, when it is right.
6sense builds that prediction by combining Bombora’s co-op data, they are a Bombora partner, their own proprietary signals from across the B2B web, website visitor identification, review site behavior from G2 and TrustRadius, and historical patterns. The Revenue AI engine processes all of that and produces account scores and buying stage classifications.
Beyond intent, 6sense has full ABM orchestration capabilities. You can build dynamic audience segments that update automatically as accounts move through buying stages, run targeted ad campaigns across display and LinkedIn, and give reps a prioritized view of which accounts to focus on.
The practical difference from Bombora: Bombora is a data feed you pipe into your existing stack. 6sense is a full platform that houses intent data, account intelligence, advertising, and workflow orchestration together. Enterprise pricing frequently runs $100K plus annually. The predictive models work well for some companies and produce confidently wrong outputs for others. Implementation typically takes three to six months before teams are getting real value.
Other players worth knowing: Demandbase takes a similar all-in-one approach with a stronger emphasis on ABM advertising. TechTarget Priority Engine specializes in IT and technology buyers. G2 Buyer Intent works specifically for SaaS companies where buyers actively compare products on the platform.
More Accessible Entry Points
Bombora at $30K per year and 6sense at six figures are not tools for most companies reading this. But intent data does not have to mean those two brands.
Through ZoomInfo. ZoomInfo has Bombora-powered intent data built into its platform. If your organization is already paying for ZoomInfo, the intent layer may be part of your contract or available as an add-on. The integration is clean and more accessible than running Bombora standalone.
Through Cognism. Cognism’s Elevate tier includes Bombora intent data alongside their verified contact database. For teams that need both contact data and intent signals, Cognism’s package can be more economical than buying Bombora separately and pairing it with a different contact provider.
Through Lead411. Lead411 includes Bombora-powered intent data on annual plans starting around $75 per user per month. It is the most affordable path to real Bombora data without a standalone Bombora contract. For teams that want to test whether intent signals improve outreach before committing to enterprise-level spend, Lead411 is worth serious evaluation.
Through Apollo. Apollo has intent signals built in, though they are less sophisticated than Bombora’s co-op data. For teams already using Apollo, the intent features are worth exploring as a starting point before deciding whether to invest in purpose-built intent tooling.
G2 Buyer Intent. If you are a SaaS company with an active G2 presence, G2’s buyer intent product surfaces accounts actively comparing products in your category on the platform. This is high-quality, explicitly evaluative signal at a more accessible price point than standalone Bombora.
Warmly. Website visitor identification tool that surfaces which companies are visiting your site in real time and can trigger outreach when high-value accounts land on key pages. It is first-party intent at its most actionable. Considerably cheaper than third-party platforms and often more immediately useful for teams that have not fully captured their own website signals yet.
The False Positive Problem
This is the thing most intent data vendors underemphasize and most buyers do not fully understand until they have run the tool for a quarter.
A company surging on a topic does not mean they are ready to buy. It might mean a content team is researching a topic to write about it. It might be a competitor doing competitive intelligence. It might be a new hire getting up to speed on the industry. It might be an analyst writing an internal report with no purchasing authority attached.
The teams that get good ROI from intent data share two characteristics. First, they validate intent signals with additional context before routing to sales. A company surging on your topic AND recently hiring a VP of Sales AND having raised a funding round in the past 12 months is a much more reliable signal than the surge score alone. Clay is useful here because it lets you layer job change signals, company news, and tech stack data on top of intent signals automatically.
Second, they use intent data to prioritize within their existing target account list, not as a standalone signal to generate brand new accounts. Teams that try to generate entirely new pipeline from surge reports alone usually get disappointing results.
Do You Actually Need It?
You probably need intent data if:
Your sales cycle is long, six months or more, and you are selling into a large addressable market where you cannot feasibly prospect everyone at once. Intent data helps you prioritize. If you have 5,000 companies in your TAM and your team can meaningfully work 200 per quarter, knowing which 200 are currently in-market matters a lot.
You are running account-based marketing programs where marketing and sales need to agree on which accounts to pursue. Intent signals give both sides an objective, data-driven input into that prioritization conversation.
Your product is in a competitive category where multiple vendors are calling the same accounts. Knowing when an account starts researching the category means you can get in earlier than competitors who are waiting for the account to raise their hand.
Your deal sizes are large enough that a single additional closed deal significantly exceeds the cost of the intent data tool. If you are closing $100K plus deals, a Bombora contract at $30K that helps you close one or two incremental deals per year is easy to justify.
You probably do not need it yet if:
You are still figuring out your ICP. Intent data is a prioritization tool. If you do not have a clear picture of who your best customers are, intent signals will not tell you who to focus on. They will just generate a list of companies that may or may not be relevant.
Your team does not have the operational discipline to act on intent signals consistently. A weekly surge report that nobody reads is not ROI. It is $30K in subscription fees for a dashboard.
Your total addressable market is small or very specific. If you are targeting 500 accounts globally, you probably already know most of them. Broad intent signals are less useful when your prospecting universe is narrow.
Your sales cycle is short and transactional. Intent data works best for long consideration cycles. For products bought quickly without extended evaluation, the weekly reporting rhythm does not align well with how those deals happen.
How Intent Data Fits in the Stack
Intent data does not replace your contact database or your sequencing tool. It supplements them. The workflow for teams using it well usually looks like this.
You receive intent signals showing which accounts are surging on relevant topics. You enrich those accounts with contact data from your database, Apollo, ZoomInfo, Cognism, or similar. You feed the enriched, intent-qualified list into Clay for additional research and personalization if you are running that workflow. The finished records flow into your sequencing tool for outreach.
The intent signal is one node in that process, not the whole thing. If any of the other pieces are weak, better intent signals will not save the outcome.
Practical First Steps Before You Buy
Start with first-party intent. Before spending anything on third-party intent data, make sure you are capturing and acting on what is already happening on your own website. Tools like Warmly or the intent features inside HubSpot can tell you which companies are visiting your site and which pages they are hitting. That is intent data you already own and it costs significantly less than a Bombora contract.
Test through an existing tool. If you are on Apollo, explore their built-in intent signals. If you are evaluating Lead411, the Bombora data included on annual plans is a meaningful test of whether intent signals change your outreach performance before you commit to a standalone contract.
Measure before you scale. Run a controlled test. Take a batch of accounts with high surge scores and a batch without, route both to the same SDR, use the same outreach approach, and compare reply rates and downstream pipeline. Real measurement tells you more than any vendor case study.
Set a clear ROI threshold first. Before signing any intent data contract, write down what success looks like. How many additional meetings or deals does this tool need to generate for the spend to justify itself? If you cannot answer that clearly, you are not ready to buy intent data at a meaningful price point.
Common Questions
What is the difference between intent data and lead scoring? Lead scoring uses your internal data to rank leads based on firmographic fit and engagement with your own properties. Intent data uses external signals to identify companies researching your category across the broader web, regardless of whether they have engaged with you yet. They are complementary, not competing.
Is intent data GDPR compliant? Third-party intent data providers track company-level behavior, not individual-level. The data is anonymous at the person level and tied to company IP addresses. Bombora operates with consent-based collection from co-op member sites. Most providers claim GDPR compliance but the specifics vary. Review the data processing terms carefully if operating in regulated markets.
What is a Company Surge score? Bombora’s metric showing how much a company’s research activity on a topic exceeds their historical baseline. A score of 70 plus is generally considered meaningful. It is a relative measure, not an absolute one. A company with a score of 80 is researching your topics significantly more than their normal level, though what that means in practice requires additional qualification before acting on it.
Can small teams benefit from intent data? Potentially, through more accessible entry points like Lead411 or Apollo’s built-in signals. The dedicated enterprise platforms like standalone Bombora and 6sense are hard to justify below around $5M ARR unless deal economics are unusually strong.
What is G2 Buyer Intent specifically? G2’s review platform captures behavior from buyers actively comparing software products. When someone in your category reads reviews, compares you against competitors, and visits your G2 profile, that activity becomes an intent signal. For SaaS companies this tends to be one of the highest-quality intent signals available because the behavior is explicitly evaluative rather than passive content consumption.
What is the difference between Bombora and 6sense? Bombora is a data feed. It tells you which companies are surging on topics and you plug that into your existing stack. 6sense is a full platform that includes intent data, predictive buying stage modeling, advertising orchestration, and sales intelligence in one place. Bombora is data. 6sense is a system. Many enterprise teams use both, with 6sense consuming Bombora data as one of its signal inputs.
Does intent data work for all industries? Bombora’s co-op network is heavily weighted toward technology, SaaS, and professional services content. Teams selling into manufacturing, healthcare, or other verticals with different research patterns may find coverage thinner. TechTarget is stronger for IT-specific buyers. Industry fit matters when evaluating providers.
Intent data is not a magic bullet and it is not a scam. It is a tool with a genuine use case, a meaningful price tag, and significant variation in how well it works depending on your motion, your market, and how disciplined your team is about acting on signals rather than just collecting them.
The teams getting real ROI use it as a prioritization layer on top of an already-functioning outbound or ABM motion. The teams wasting money on it buy it before that foundation exists, hoping signals will generate pipeline where the underlying process cannot.
Start with first-party. Layer in affordable third-party signals through tools you are already evaluating. Measure the output carefully. Then decide whether the enterprise investment is justified by what you actually see.
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