Intent Data

Signal before the form fill. Intent data is the behavioral exhaust accounts leave while researching a purchase — the whitepapers they download, the competitor pages they read, the topics they search, the review sites they linger on — captured and scored to flag who's in-market before they ever raise a hand. The premise is simple: a company that has 14 employees reading "data warehouse migration" content this week is a better call than a cold name from a list. Intent doesn't tell you someone will buy. It tells you they're looking.

How Intent Data Is Identified

Intent comes in two flavors, and the distinction matters more than vendors admit.

First-party intent is a known visitor reading your pricing page three times. Third-party intent is a vendor like Bombora or 6sense telling you an account is "surging" on a topic across a publisher network. Most teams blend both, then feed the score into lead scoring and routing.

Worked Example

A RevOps team layers third-party intent over their ICP list of 3,000 target accounts. In a given week, 180 accounts show a topic surge above the noise threshold. The SDR team works those 180 instead of dialing the full list cold. Connect rates on surging accounts run 22% versus 9% on the non-surging base, and meeting-booked rates roughly double. The math isn't that intent created demand — it's that the team stopped spending 60% of its dials on accounts doing nothing this quarter. Same headcount, the calling list got smarter.

When Sales Teams Use Intent Data

Demand gen and RevOps buy and operationalize intent data; SDRs and AEs consume it as a prioritization layer. The practical uses are account prioritization for outbound, timing for pipeline generation plays, ad targeting against in-market accounts, and early-warning for churn when existing customers start researching competitors. The teams that get value treat intent as a tiebreaker on an already-good list — it sharpens ICP targeting rather than replacing it.

Common Intent Data Misconceptions

Intent data is the most over-promised input in modern demand generation, and the gap between the pitch and the reality is wide. Third-party signal is account-level, not person-level — knowing "Acme is surging" doesn't tell you which of Acme's 400 employees to call, and often the researcher is an intern writing a report, not a buyer. Bidstream data is noisy and frequently inferred from coarse IP-to-company matching, so a chunk of "intent" is statistical guesswork dressed as certainty. The worst pattern is attribution laundering: marketing claims credit for any deal that ever touched a surging account, retroactively tagging pipeline as intent-sourced to justify the platform's six-figure cost. Watch the comparison that vendors avoid — win rates and SAL conversion on intent-flagged accounts versus a matched control of non-flagged ICP accounts. If the lift disappears once you control for "these were good-fit accounts anyway," you're paying for a list you could have built from your ICP. Intent is a real signal. It is not a buyer, and it is not a forecast.