Intent data is third-party signal data that indicates a company is actively researching solutions in your category right now. Unlike firmographic data, which tells you whether a company is a good fit, intent data tells you whether the timing is right. This page covers the three intent types, what providers supply each, and how to wire signals to outbound triggering.
The definition
Intent data is any signal that suggests a company is in an active buying cycle for a solution in your category. The strongest form is behavioral: someone at that company is reading about the problem you solve, visiting review sites in your space, or evaluating competitors. Structural signals (hiring, funding, leadership changes) serve as proxy indicators of the same moment.
Intent data modifies ICP scoring. A company with marginal ICP fit but a strong intent signal is sometimes worth a conversation. A company with perfect ICP fit and no intent signal is worth putting in a nurture sequence, not in an aggressive outbound cadence.
Intent data that is not wired to outbound is useless. The information has a shelf life measured in days to weeks. If a rep acts on it manually two weeks after it appears in a spreadsheet, the buying window may have closed.
The three types
Third-party behavioral intent
Bombora, PredictLeads, G2
Aggregated web content consumption signals from across the internet. If a company's employees are reading articles about outbound automation across multiple sites, that is a topic surge in your category.
Limitation
Coverage varies by industry. Works best for categories with enough online content to generate measurable signals.
First-party behavioral intent
Your own website, product, and email
Visits to pricing or demo pages, product trial activity, email click-through patterns. These are the strongest signals because they indicate direct engagement with your brand.
Limitation
Only works for companies that have already found you. Useful for conversion, not for cold outbound.
Trigger-event intent
PredictLeads, hiring data, LinkedIn, Crunchbase
Observable company events that correlate with buying: new leadership hire, funding round, job postings for relevant roles, tech stack change. These are structural signals, not behavioral ones.
Limitation
Events are public but require monitoring infrastructure to catch them in real time rather than in a weekly manual review.
The payback
Outreach reaches companies when they are actively researching, not when a static list says to
From outreach triggered by intent signals versus pure ICP-fit outreach without a timing layer
To wire intent signals to automated outbound triggering in a production environment
How we build it
We connect intent providers (PredictLeads for trigger events, enrichment waterfall for third-party behavioral signals) to an n8n workflow that monitors for qualifying signals on your ICP accounts. When a threshold is crossed, the workflow enriches the contact, scores the ICP fit, and either alerts a rep or enrolls the contact in a signal-specific sequence.
Signal type determines follow-up action. A tech stack change may warrant a specific outreach angle about integration. A new VP of Sales hire may warrant a different message than a funding event. We build conditional logic that routes to the right sequence based on what triggered the action.
Every intent event is logged in the CRM so the rep understands why a prospect was surfaced. The context is not buried in a tool the rep never opens.
Get in touch
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We review every inquiry personally and respond within one business day.