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B2B Intent Data: What It Is, How It Works, and How to Use It

June 27, 2026 · 5 min read

B2B intent data is behavioral data that tells you which companies are currently researching topics related to your product or service. Most B2B buying research happens before a buyer ever contacts a vendor: the buyer reads articles, compares solutions, visits review sites, and attends webinars for weeks or months before reaching out. Intent data captures this invisible research activity and surfaces accounts that are actively in a buying process -- giving your sales and marketing teams the ability to prioritise and reach buyers at the exact moment they are most receptive.

How B2B intent data is collected

There are two types of intent data based on where it comes from: first-party intent (your own website data) and third-party intent (data collected from external publishers and platforms). First-party intent: website visitor behavior (which pages they visited, how long they spent, whether they visited your pricing page), email engagement (opens, clicks), and form fill history. This is the highest-quality signal because it is direct engagement with your brand. Third-party intent: collected by data providers (Bombora, G2, TechTarget, Demandbase) who track content consumption across a network of thousands of B2B publisher websites, review sites, and industry portals. When a company's employees read 15 articles about "B2B lead generation software" across multiple sites in a 2-week period, the intent provider flags that company as showing intent for that topic.

Major B2B intent data providers

  • Bombora: the largest B2B intent data network; topic-based intent across 5,000+ websites; strong enterprise coverage
  • G2 Buyer Intent: tracks which companies are visiting your G2 profile, looking at competitor profiles, or comparing you in the G2 category
  • TechTarget: technology-specific intent from a network of 150+ IT and tech publisher sites
  • Demandbase: intent data combined with ABM platform features; good for integrated ABM programmes
  • 6sense: predictive intent with AI modelling to identify accounts at different buying stages
  • Leadfeeder / Clearbit Reveal: identifies companies visiting your website anonymously based on IP reverse lookup

How to use B2B intent data

SDR prioritisation

The most common use case for intent data: give SDRs a prioritised list of accounts showing intent for your product category. An SDR who calls an account that is actively researching your solution category has a significantly higher meeting booking rate than one calling cold. Intent-triggered outreach sequences should reference the research without being creepy about it ("I noticed your company has been exploring [topic]" is fine; "I saw that Sarah Jones at your company read an article about X on Tuesday at 2pm" is not).

ABM targeting

Intent data identifies which of your target accounts are currently in an active research phase -- allowing you to concentrate ABM investment (LinkedIn ads, direct mail, personalised outreach) on accounts most likely to be receptive. Running LinkedIn ads to your full ICP universe is expensive; running them to the 10-15% of your ICP that is showing high intent is dramatically more efficient.

Competitive intelligence

G2 Buyer Intent specifically shows which companies are viewing competitor profiles alongside yours -- a very high-quality buying signal. An account that looks at your profile AND your competitor's profile in the same week is almost certainly in an active evaluation. These accounts warrant immediate, personalised SDR outreach.

Frequently asked questions

What is B2B intent data?
B2B intent data is behavioral data that indicates which companies are actively researching topics related to your product or service. Intent data providers collect this data by tracking content consumption behavior across networks of B2B websites, review sites, and industry publications -- then aggregating it at the company level to identify which accounts are "in market" for a given solution category. Two types: first-party intent (behavior on your own website -- pricing page visits, demo page views) and third-party intent (behavior across external publisher networks, tracked by providers like Bombora, G2, and TechTarget).
How accurate is B2B intent data?
B2B intent data accuracy varies significantly by provider, market, and use case. The most reliable intent signals are first-party (a company visiting your pricing page is a strong signal) and review site intent (a company looking at your G2 profile is in an evaluation). Third-party intent from publisher networks is less accurate because: (1) IP-to-company matching is imperfect; (2) a single employee reading an article may not reflect company-wide buying intent; (3) coverage of smaller publishers (especially in non-English markets) is limited. Treat third-party intent as a prioritisation tool, not a certainty -- it improves your targeting precision but does not guarantee the account is ready to buy. India B2B intent data coverage is thinner than US/EU due to lower publisher network participation.
How do you use intent data in B2B sales?
The main use cases for intent data in B2B sales: (1) SDR prioritisation -- give SDRs a daily list of accounts showing topic intent, sorted by intent strength, so they focus outreach on in-market buyers rather than cold prospects; (2) ABM targeting -- concentrate LinkedIn ads, direct mail, and personalised content on the subset of your ICP showing active intent; (3) competitive intelligence -- G2 Buyer Intent shows which accounts are viewing competitor profiles alongside yours, signalling active evaluation; (4) renewal and expansion risk -- intent signals showing a customer researching your competitors can be an early churn warning; (5) content triggering -- when an account shows intent for a topic, auto-send relevant content through a nurture sequence.

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