Intent signals

What are intent signals?

Intent signals are the actions a company takes that reveal it's likely researching, evaluating, or preparing to buy. They range widely: surging research on a topic, a wave of relevant hiring, consumption of category content, a funding round that unlocks budget, or a leadership change that triggers a stack rebuild.

The common thread is behavior over attributes. Firmographics tell you whether a company fits your ICP; intent signals tell you whether that fit company is doing something right now that suggests timing. Fit is static; intent is what's changing.

Buyer intent signals and B2B intent signals

"Buyer intent signals" and "B2B intent signals" describe the same idea at the level of an individual buyer or a business account respectively, the behaviors that indicate readiness to engage. "Buying intent signals" emphasizes the purchase end of that spectrum specifically. In practice they're facets of the same concept: observable behavior that suggests a move toward purchase.

Why intent signals matter

Without intent signals, outreach is timing-blind. You know who fits, but not who's ready, so you work a flat list and reach most accounts at the wrong moment. Intent signals restore timing: they let you prioritize the fit accounts that are also showing readiness, which is where conversion concentrates.

The catch is quality. Weak intent signals (anonymous, aggregate surge data) tell you a company is "researching CRM" but not who, why, or what triggered it, which is hard to act on. Strong intent signals are specific and attributable: you can name the event, point to its source, and write a credible message about it.

The intent signal confidence spectrum

• Weak: anonymous topic surges, aggregate research activity. Directional, hard to action at the contact level.
• Medium: category content consumption, repeat site visits. Useful as a prioritization layer.
• Strong: discrete, attributable trigger events. A funding round, a job change, a relevant hire. Specific, traceable, and immediately actionable.

The practical lesson: treat weak signals as soft prioritization, and act directly on strong, sourced ones.

Intent signals vs. intent data

Intent data is the broad category, all information used to infer purchase likelihood, often packaged as third-party datasets. Intent signals are the behavioral instances within that category, especially the discrete, observable ones. Put simply: intent data is the bucket; intent signals are the specific behaviors in it that you act on. And the closer a signal gets to a concrete, sourced event, the more it overlaps with a buying signal.

How to use intent signals well

1. Weight by confidence. Act directly on strong, sourced signals; use weak ones only to prioritize.
2. Demand attribution. A signal you can't trace is a guess. Insist on a source.
3. Pair with fit. An intent signal at a non-ICP account is noise; combine intent with fit.
4. Move on freshness. Intent decays. The value is highest right after the behavior occurs.

Common mistakes

• Treating all intent as equal. An anonymous surge and a named exec joining are different signals.
• Acting on intent without fit. Readiness at the wrong account still isn't an opportunity.
• Trusting unsourced scores. A "0.87 intent score" you can't explain is hard to act on credibly.