Intent data
Structured information about buyer behavior, collected to estimate how close a person or account is to a purchase.
Intent data is the recorded, organized evidence of buying behavior that revenue teams use to find and prioritize accounts. It turns scattered actions into something you can sort, score, and act on. Practitioners usually split it into three kinds. First-party intent data comes from your own properties, including website analytics, email engagement, and product usage. Second-party intent data is another company's first-party data shared directly with you, often through a review site or a media partner. Third-party intent data is aggregated from across the web by a vendor that watches content consumption and research activity, then maps it to accounts. Each type trades coverage against precision. First-party data is the most trustworthy because you observed it yourself, but it only covers people who already touched your brand. Third-party data widens the net to companies that have never visited your site, but it is noisier and usually resolved at the account level rather than the individual. The value of intent data is not the raw feed. It is the workflow built on top of it: deciding which signals matter for your business, combining them with fit data like your ICP, and routing the strongest accounts to the right rep at the right moment.
Examples
- A vendor sells third-party intent data showing that 14 companies in your target market spiked their research on 'data warehouse migration' this month.
- Your marketing team treats repeated visits to the integrations page as first-party intent data and triggers a relevant nurture sequence.
- A review platform shares second-party data telling you which of its visitors compared you against a named competitor last week.
Frequently asked questions
Is intent data accurate?
Accuracy varies by source. First-party data is the most reliable. Third-party data is broader but often resolved to the account rather than a named person, so treat it as a prioritization hint, not a confirmed buyer.
How do teams use intent data day to day?
They combine it with fit criteria like the ICP, score accounts that show both fit and active interest, and push the highest-scoring ones to sales for timely, relevant outreach.
Related terms
Buying intent / intent signals
The behaviors and actions that suggest a person or company is actively researching or preparing to make a purchase.
Lead scoring
A method for ranking leads by how well they fit your customer profile and how much interest they have shown.
Lead enrichment
The process of adding missing or updated information to a lead record so it can be qualified and acted on.
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