Signal Intel

Use when consolidating intent, product usage, and third-party signals to prioritize ABM actions.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Signal Intelligence Systems Skill

When to Use

  • Monitoring account readiness for ABM plays.
  • Prioritizing SDR/AE follow-up based on live engagement.
  • Coordinating signal-based automations (ads suppression, nurture routing, sales alerts).

Signal Sources

  1. Intent Platforms – Bombora, 6sense, ZoomInfo (topics, spike scores, recency).
  2. Product Usage – PQL metrics, feature adoption, seat utilization, idle license detection.
  3. Engagement – email/web activity, event attendance, community participation, SDR/AE touchpoints.
  4. Commercial – opp stages, renewal windows, open tickets, expansion likelihood.
  5. External Events – hiring, funding, tech stack changes, executive moves, news.

Framework

  1. Normalize identifiers (domain, account ID) across sources.
  2. Define scoring rules per signal category with decay functions.
  3. Build alerts/automations (Slack, email, CRM tasks, MAP triggers).
  4. Feed prioritized lists into plays (target-accounts, plan-plays, monitor-abm).
  5. Log outcomes to refine weighting and ROI.

Templates

  • Signal scoring worksheet (source, weight, freshness, trigger threshold).
  • Alert matrix (signal → delivery channel → owner → SLA).
  • Data dictionary for dashboards/warehouse models.

Tips

  • Combine at least two signal types before triggering high-effort plays.
  • Store historical signal snapshots to correlate with pipeline impact.
  • Align privacy/compliance flags with marketing automation + CRM suppression rules.

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