What is Buyer Signal?
Definition: Any observable action or data point that suggests a prospect or account is moving toward a purchase decision, including website visits, content downloads, job postings, funding announcements, and technology changes.
Buyer signals are evidence of purchase intent. Some are strong (visited your pricing page three times this week). Some are weak (downloaded a whitepaper six months ago). GTM Engineers build systems that detect, score, and route these signals to the right rep at the right time.
Categories of buyer signals: Digital signals (pricing page visits, demo request form abandonment, competitor comparison page views). Organizational signals (new VP of Sales hired, company raised a funding round, competitor contract expiring). Technology signals (started using a complementary tool, removed a competitor from their tech stack). Social signals (engaged with your LinkedIn content, mentioned your category in a post).
The GTM Engineering challenge is aggregating signals from multiple sources into a unified score. Product usage data from PostHog or Segment, CRM engagement from HubSpot, intent data from Bombora, and job posting data from LinkedIn all contain signals. Clay can pull many of these together. Custom Python scripts handle the rest.
The most effective signal-based outreach references the signal directly: "I noticed your team posted a GTM Engineer role last week. We help companies like yours build the enrichment infrastructure that new GTM hires need on day one." Specific, timely, relevant. That's a 3x better email than a generic pitch.
Scoring buyer signals requires weighting by recency and strength. A pricing page visit from today is worth 10 points. The same visit from 30 days ago is worth 2 points. A new VP hire is worth 15 points at announcement time and decays to 5 points after 90 days (the new exec's evaluation window closes). Build time-decay into your scoring models so that stale signals don't crowd out fresh ones. Most CRM scoring systems support time-based decay rules natively.
Combining multiple weak signals creates a strong composite signal. One LinkedIn post about CRM migration means nothing on its own. But that post, combined with a job posting for a Salesforce admin, a visit to your pricing page, and a G2 comparison that includes your product, creates a composite signal that's as strong as any single high-intent action. GTM Engineers who build composite signal detection catch buying intent that single-signal systems miss entirely.