What is Buyer
Intent Data?
Buyer intent data is the set of behavioral, demographic, and contextual signals that suggest a B2B account is researching a category, evaluating vendors, or actively in-market — captured from first-party site activity, third-party content consumption, and triggered events like job changes or hiring surges.
Why buyer intent data matters
B2B buyers spend roughly 17% of their total buying time talking to vendors (Gartner), and 57% of buyers make their decision before ever speaking to a rep (Corporate Visions, 2026). By the time a lead form gets filled out, the shortlist is already set. Intent data is the only way to surface accounts before they self-identify.
The discipline matters because the alternative — generic outbound to ICP-fit lists — fails on two fronts. First, response rates have collapsed: cold sequences from static lists average 2 to 5% reply rate, while signal-triggered sequences land 8 to 15% (signal-based selling benchmark). Second, 92% of buyers start the process with at least one vendor in mind. If you are not the vendor in mind, you need to detect them researching now and reach them before the shortlist closes.
How buyer intent data works
- 1 · First-Party Signal CaptureTrack on-domain behavior — page visits, repeat sessions, pricing-page dwell, content downloads — tied to known accounts via reverse-IP or identity resolution. Highest-quality signal because it is your own data.
- 2 · Third-Party Topic Surge DetectionAggregate research activity from co-op networks (Bombora, G2, TrustRadius, content syndication) showing accounts spiking on category keywords across the web. Wider net, lower per-signal precision.
- 3 · Triggered Event SignalsJob changes, leadership moves, funding rounds, hiring spikes, tech-stack adoption — discrete events that historically correlate with new buying cycles. Often higher conversion than topic-surge signals.
- 4 · Intent Scoring & DecayCombine signals into a per-account score that decays over time. A spike from 14 days ago is a different prospect than a spike from this morning.
- 5 · Account Prioritization & RoutingPush the highest-scored accounts into outbound queues, ABM campaigns, or AI SDR sequences with context attached so reps know why the account surfaced.
How fl0 approaches buyer intent
fl0 is built around triggered event signals — the highest-converting class of intent data. The platform watches your existing CRM and ICP for job changes, leadership moves, funding events, and hiring patterns that historically precede a buying cycle. When a signal fires, fl0's AI SDR drafts contextual outreach referencing the trigger and runs the sequence end to end.
Instead of buying a topic-surge data feed and dumping it into an SDR queue, you get accounts that just became in-market, with the signal attached so the first message lands warm.
Explore the fl0 Glossary
Working definitions for buyer intent, signal-based selling, and the AI GTM stack.
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