Last updated: October 29, 2026
Intent data tells you who appears to be researching. Buying signals tell you why a specific account is in a window now — and what to do about it. Both can live in a modern stack. They are not the same unit of value.
How it works: Aggregate anonymous research activity across publisher and B2B content networks, then score accounts that appear to be in-market on topics you care about.
Where it falls short: The unit of value is a score. Reps still invent the reason, the contact, and the first line. Scores refresh; the deliverable does not write itself.
Best for: Prioritizing which accounts to work when you already have coverage and playbooks.
How it works: Watch for attributable, dated events: new CRO, funding round, hiring surge in a relevant team, competitor displacement, regulatory change — then attach a reason and a next action.
Where it falls short: Coverage depends on what you can observe and how well signals match your ICP. Not a substitute for a full intent graph across millions of anonymous readers.
Best for: Same-day outreach when the window is open and the rep needs what to say, not only who to call.
How it works: Turns triggers into a prioritized, rep-ready list, then runs finished plays (Buyer Brief, Discovery, Pipeline Pulse) on Account Memory so the reason compounds into the next action.
Where it falls short: Quality depends on ICP clarity and memory irrigation. Overnight refresh is capped (Sunday, three accounts per eligible user) — deliberately, so LLM cost stays bounded.
Best for: Teams that want the list and the play, not another dashboard to interpret.
Intent data scores anonymous research activity. Buying signals are dated, attributable trigger events with a reason an account is in-market. Intent answers 'who might be researching.' Signals answer 'why call this account today, and what do you say.'
No. Many teams keep intent for volume prioritization and use Beacn to produce the reason, the brief, and the next play. Beacn complements intent, enrichment, and conversation intelligence rather than replacing them.
Leadership changes, funding events, hiring patterns, and competitor disruption scored against your ICP — delivered as a prioritized account list with outreach angles via Signal Scout.
Signal Scout runs as a background job on Claude's trained knowledge for reliability inside Vercel/Inngest budgets. Output quality is strong for strategic shortlists; live search APIs can be added as a future pre-step without putting Anthropic web_search on the request path.
Buying windows for trigger-driven opportunities often close in 60 to 90 days. The value of a signal decays; a finished play the same day beats a dashboard the team interprets next quarter.
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