Intent data
also: buyer intent, intent signals
Data used to infer that an account is researching or ready to buy, spanning first-party behavior, third-party topic consumption, and public events.
Intent data is any data used to infer purchase readiness. It comes in three broad flavors. First-party intent is behavior on your own properties, website visits, product usage, content downloads. Third-party intent is aggregated topic-consumption from a publisher co-op (the 'Company Surge' style data). Public-event intent is discrete, attributable events like funding or a new hire.
The flavors trade off differently. First-party intent is high-confidence but only covers accounts already touching you. Third-party topic intent has broad reach but is anonymous, modeled, and hard to verify. Public-event intent is verifiable and covers your whole market, but only fires when something actually happens.
Good GTM teams blend them: first-party to work inbound, public-event to work outbound timing, and topic intent as a supporting layer. The mistake is treating a single black-box intent score as ground truth.
How Intakra treats it
Intakra does not sell intent data. It finds specific, dated events in public sources and links each one to its source. It says what a pattern usually means, in plain words, and never claims to know what a company intends. It avoids anonymous co-op intent and website visitor identification, so every piece of proof is one you could check yourself.
See it in practice