# Intent Signals: Definition and Guide for B2B Marketers
Intent signals are behavioral indicators that a prospect is actively researching, evaluating, or preparing to purchase a solution in your category. They combine first-party signals (website visits, content consumption, form fills) and third-party signals (news mentions, hiring, funding rounds, tech stack changes) to reveal buying intent before a prospect raises their hand.
Intent data aggregators monitor digital behavior across accounts: website tracking, document downloads, job postings, news feeds, and LinkedIn activity. Raw signals are weighted and aggregated into intent scores. An account showing a spike across multiple signals (visited your site, downloaded 2 comparison guides, posted for a product manager role) triggers high-intent status. Sales and marketing teams prioritize outreach to high-intent accounts, timing campaigns to align with buying momentum. Intent decays over time, so stale signals drop weight quarterly.
Intent transforms ABM from "we hope they're buying" to "we know they're buying." Instead of cold outreach to random targets, you reach accounts actively exploring your category. This dramatically improves response rates, shortens sales cycles, and reduces wasted prospecting effort. Intent also improves personalization: when you know a prospect is evaluating your top 3 competitors, you can message against those specific alternatives immediately.