見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。
Signal Scoring
Overview
Most prospects aren't ready to buy. Signals separate the ones who are from the ones who might be someday. A signal-anchored outreach program consistently outperforms list-blast approaches — triggers beat blasts every time.
This skill builds a configurable signal scoring system. You define which signals matter for your business, assign weights, and produce tiered lead lists that tell your team exactly who to contact first and why.
When to Use
- "Score these accounts and tell me who to reach out to first"
- "Set up a signal scoring system for our ICP"
- "Which of our target accounts are showing buying signals?"
- "Prioritize this list by intent"
- "Build a trigger-based outreach prioritization model"
Authoritative Foundations
Signal-based selling as practiced by ColdIQ and Explorium demonstrates that trigger-anchored outreach achieves 2-3x higher reply rates than generic cold email. The core principle: reach out when something changed, not when you decided to run a campaign.
The priority rule is recency + specificity. A website pricing page visit from yesterday beats a Bombora intent surge from last week. The signal with the clearest, most recent tie to purchase intent leads the outreach.
For phone-led outbound, layer Joey Gilkey Phone Intent on top of buying signals — reachability is a separate dimension from purchase intent. High intent
- low phone intent → email/LI first. →
references/joey-gilkey-bucketing.md
Prerequisites
- ICP defined (use icp-scoring first)
- Target account list to score
- Data sources: job boards, funding databases, tech stack monitors, intent platforms
Step-by-Step Process
Phase 1: Define Signal Taxonomy
Choose from four categories. Assign weights based on what correlates with closed-won deals in your sales data:
| Signal Category | Example Signals | Default Weight |
|---|---|---|
| Hiring | Job postings for roles your product supports, team expansion, new leadership | 0-25 pts |
| Funding | Recent round closed, new investor, funding amount | 0-20 pts |
| Tech Stack | Added complementary tool, removed competitor, new technology adoption | 0-25 pts |
| Intent | Website visits, content downloads, search behavior, review site activity | 0-30 pts |
Total possible: 100 points. Adjust weights based on your sales data — weight the signals that correlate with closed-won.
Phase 2: Configure Signal Detection
For each signal category, set up detection sources:
- Hiring: Job board search (LinkedIn, Indeed, Greenhouse). Sales hiring =
highest signal. LeadMagic Jobs Finder for automated detection.
- Funding: Crunchbase, PitchBook, news monitoring.
- Tech Stack: BuiltWith, Wappalyzer, Clay technographics. Monthly snapshots
with change detection.
- Intent: Bombora, G2, LeadMagic Company Search for firmographic signals.
Phase 3: Score Each Account
For each target account:
- Check each signal category
- Apply the weight for each detected signal
- Sum to get total signal score (0-100)
Priority rule for multiple signals: score only the single most relevant signal per account. Recency + specificity determines which signal leads.
Phase 4: Tier and Route
| Tier | Score Range | Action | SLA |
|---|---|---|---|
| A — Hot | 80-100 | Immediate personalized outreach. Multi-thread. | Within 24 hours |
| B — Warm | 60-79 | Enroll in sequence. Monitor for new signals. | Within 3 days |
| C — Cool | 40-59 | Nurture track. Re-score in 30 days. | Nurture drip |
| Discard | <40 | Not yet. Re-evaluate quarterly. | No action |
Output Format
Scored account list with signal breakdown:
Account: Acme Corp
Total Signal Score: 85 (Tier A — Hot)
Signals detected:
- Hiring: 3 new SDR roles posted this week (20 pts)
- Funding: Series B closed last month, $25M (15 pts)
- Tech Stack: Added Salesforce last quarter (15 pts)
- Intent: Visited pricing page 3x this week (25 pts)
- ICP fit bonus: Exact match on industry + size (10 pts)
Recommended action: Outreach within 24 hours. Lead with hiring signal.
Suggested angle: "Saw you're scaling the SDR team — most teams at your
stage struggle with ramp time. We helped [similar company] cut it by 40%."Quality Check
- [ ] Signal weights calibrated against actual closed-won data
- [ ] Only one primary signal drives outreach per account
- [ ] Tier routing rules defined and automated
- [ ] Signal sources documented with refresh cadences
- [ ] Re-score schedule set (weekly for A tier, monthly for B/C)
Common Pitfalls
- Acting on too many signals per account. A company showing 5 signals
doesn't mean send 5 different emails. Pick one — the most recent and specific — and lead with it.
- Weights not calibrated to your data. Default weights are a starting
point. Review quarterly against your closed-won deals and adjust.
- Stale signals. A funding round from 6 months ago is no longer a
trigger. Signal freshness matters. Set expiration windows.
- No action on signals. A signal without an immediate, automated
action is just noise. Every detection should trigger a workflow.
- Equal-weight scoring. Not all signals are equal. A company hiring
for a role your product directly supports is worth more than a generic intent signal. Weight accordingly.
Execution Artifacts
references/framework-notes.md— Named frameworks and reference tablestemplates/output-template.md— Deliverable shell for agent outputscripts/check-output.py— Lightweight deliverable validatorreferences/joey-gilkey-bucketing.md— Phone Intent scoring layer (repo root)references/cold-calling-experts-index.md— Phone vs email signal router (repo root)
Related Skills
- icp-scoring: ICP fit scoring runs before signal scoring
- proactive-alerts: Automated signal monitoring and alert routing
- cold-email-strategy: Turn signal scores into outreach sequences
- lead-enrichment: Enrich accounts to enable signal detection

