B2B intent data
In short
B2B intent data is information about the research activity of business buyers that suggests they may be evaluating a purchase. It records things like which topics a company reads about, which comparison pages it visits, and how that activity changes over time.
It differs from general intent data by its context: B2B buying involves committees, long cycles, and company-level decisions, so the data is usually aggregated to the account rather than read as one person's click.
What B2B intent data looks like
- First-party: Activity on your own site, emails, webinars, and product.
- Third-party: Research activity on other sites, grouped by topic and mapped to companies.
- Contextual: Signals such as job posts and technology changes that imply a need.
Why account-level matters
A single article view says little. Several people from one company reading about the same topic in the same week says much more. B2B intent data is therefore most useful as a pattern across a buying group, compared with that company's normal activity.
How to put it to work
- Pick topics: Choose topics tied to the problem you solve, not just your category name.
- Match to your ICP: Filter surging accounts down to those that fit before anyone calls.
- Choose the play: High intent and high fit goes to sales. High intent with low fit goes to nurture or ads.
- Review monthly: Compare intent-flagged accounts against opportunities created.
Limits to know
Intent data shows interest, not a budget or a deadline. Topic matching can be loose, and account mapping is not perfect. Treat it as a reason to look closer at an account, and confirm with a conversation.
B2B intent data FAQs
What is B2B intent data?
B2B intent data is information about the online research behavior of business buyers that suggests they may be evaluating a purchase. It is usually grouped by topic and account, helping sales and marketing find companies that appear to be in a buying window.
How is B2B intent data collected?
It is gathered from first-party sources such as your site and campaigns, and from third-party sources such as publisher networks and content sites that track topic consumption. The activity is then matched to companies and scored against a baseline.
Is B2B intent data accurate?
It is directional, not exact. Topic matching and company mapping contain errors, and interest does not guarantee a purchase. It works best when combined with fit data and checked against which flagged accounts actually become opportunities.
How do sales teams use B2B intent data?
Teams use it to rank accounts, time outreach, and tailor messaging to the topics a company is researching. The strongest approach pairs intent with fit so reps contact accounts that are both a good match and showing interest.
