Intent Data

Intent data is behavioral signal indicating that a person or company is actively researching a purchase — content consumed, searches run, topics surging, pages visited, reviews read. Its promise is timing: catching demand while it's live rather than interrupting people who aren't looking, the holy grail of efficient B2B (and increasingly B2C) marketing. Its reality is that the signal is real but noisy, the third-party kind especially, and it works only when filtered through fit (the INTENT-SIGNAL is worthless on an off-ICP account) and treated as a prioritization input, not a verdict.

The fundamental split that decides quality: first-party intent (the behavior on YOUR properties — the pricing-page visits, the docs deep-reads, the demo-request, the repeat sessions — high-confidence, specific, owned, and the most underused intent signal most companies already have), and third-party intent (vendor-aggregated signals about research happening across the web — publisher co-ops, bidstream, review-site activity, topic-surge data — broad reach, lower precision, and accuracy claims worth auditing against actual outcomes rather than vendor decks). The honest signal-versus-noise read: third-party intent is probabilistic and often account-level (someone at the company researched a topic — not necessarily your buyer, not necessarily about you), subject to the attribution-and-selection caveats this glossary keeps flagging, and prone to the 'everyone is always in-market for something' baseline-rate problem that makes naive use a budget leak. What separates the teams that win with it: fit-first gating (intent on an ICP-matched account is a prioritization gift; intent on an off-ICP account is noise dressed as opportunity — the IDEAL-CUSTOMER-PROFILE is the filter), combining intent with fit and engagement rather than acting on intent alone (the LEAD-SCORING blend), using it to TIME and prioritize known-good targets rather than to discover new ones (intent sharpens an ABM list; it doesn't replace one), and validating vendor signal against closed-won reality before scaling spend on it. The privacy frame: third-party intent rides the same consented-data and broker-diligence obligations as the identity stack, and the cookie's decline pressures the bidstream-based varieties — pushing value back toward first-party intent and consented co-ops.

Intent data matters most in considered B2B purchases with research-heavy buying journeys and identifiable accounts — where catching the in-market window and prioritizing the right accounts at the right time genuinely compounds (the ACCOUNT-BASED-MARKETING and DEMAND-GENERATION engines it feeds). It matters as a prioritization-and-timing layer over a fit foundation, never as a substitute for fit or a source of net-new targeting truth. The discipline is first-party intent harvested before third-party is bought, third-party validated against closed-won outcomes, every signal gated through the ICP, intent blended with fit and engagement rather than trusted alone, and the baseline-rate skepticism that keeps 'they're in-market' from meaning 'they'll buy from us.'

Intent data grew up with B2B's account-based era - review sites, publisher co-ops, and bidstream aggregators productized 'who is researching this topic' in the 2010s - and matured past its own hype as buyers learned the third-party signal was noisy without fit; the cookie's decline now pushes its center of gravity back toward first-party and consented sources.

Etymology: source.

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Areas of marketing where intent data is a core concern: