Buyer Intent Data

Buyer intent data is information that signals when a company or individual is actively researching a problem your product solves. It’s derived from tracking online behaviors — content consumption, search queries, review site visits, competitor page views — to identify accounts that are “in-market” before they fill out a form on your website.

Intent data matters in GTM operations because it lets you prioritize accounts that are already showing buying signals over accounts that aren’t. Instead of cold-calling through a static account list, your SDRs can focus on companies that are actively researching your category right now. This timing advantage is significant — reaching a buyer during active research versus six months before they have a need produces dramatically different response rates.

There are three main types of intent data. First-party intent comes from your own properties: website visits, content downloads, pricing page views. Second-party intent comes from publisher partners who share data about which companies consume content in your category. Third-party intent comes from aggregated data across thousands of websites, tracking which companies are surging on specific topics.

The practical challenge with intent data is signal quality. Not every “intent signal” means someone is about to buy. A single blog post view is noise. A sustained spike in research activity across multiple topics related to your product — that’s signal. The best GTM teams combine intent data with firmographic fit data to create a prioritized, time-sensitive target list.

Data enrichment combines intent signals with firmographic and technographic data to give your team a complete picture of which accounts to pursue and when.