Signal Scoring & Signal-Based Selling Framework
Building a Signal Scoring System
Step 1: Define Signal Categories
First-Party Signals (Strongest)
- Website behavior (pages, frequency, recency)
- Product usage (feature adoption, usage spikes)
- Email engagement (opens, clicks, replies)
- Content downloads (whitepapers, case studies)
- Event attendance (webinars, demos)
Second-Party Signals (Strong)
- LinkedIn engagement (likes/comments on your posts)
- G2/review site activity (comparisons, reviews)
- Community engagement (Slack, Discord, GitHub)
- Social mentions and discussions
Third-Party Signals (Moderate to Strong)
- Bombora/intent data surges
- Job changes (champion to new company)
- Funding rounds
- Hiring signals (relevant roles)
- Technology stack changes
- Company news (expansion, acquisitions)
Step 2: Assign Weights
Tier 1 — Hot Signals (50-100 points)
| Signal |
Points |
Rationale |
| Demo/pricing request |
100 |
Direct buying intent |
| 3+ pricing page visits in 7 days |
80 |
Active evaluation |
| Champion job change to target account |
75 |
Warm intro opportunity |
| Multiple stakeholders from same account |
70 |
Buying committee forming |
| Product trial signup |
65 |
Hands-on evaluation |
| G2 comparison with competitors |
60 |
Active vendor comparison |
| 5+ website visits in 2 weeks |
50 |
Sustained interest |
Tier 2 — Warm Signals (20-49 points)
| Signal |
Points |
Rationale |
| Series A/B/C funding |
45 |
Budget availability |
| Relevant job posting |
40 |
Organizational need |
| Bombora topic surge (score 70+) |
40 |
Active research |
| Case study download |
35 |
Research phase |
| LinkedIn engagement with your content |
30 |
Brand awareness |
| Webinar attendance |
25 |
Category interest |
| 3+ blog post visits |
20 |
Early research |
Tier 3 — Cool Signals (5-19 points)
| Signal |
Points |
Rationale |
| Company news (expansion) |
15 |
Potential trigger |
| Single website visit |
10 |
Awareness only |
| Industry report download |
10 |
General interest |
| Email open (no click) |
5 |
Minimal engagement |
| Social follow (no engagement) |
5 |
Passive awareness |
Step 3: Apply Recency Multipliers
| Recency |
Multiplier |
| Last 24 hours |
1.5x |
| Last 7 days |
1.2x |
| Last 14 days |
1.0x |
| Last 30 days |
0.7x |
| 30+ days ago |
0.3x |
Step 4: Multi-Signal Stacking
| Scenario |
Signals |
Score |
Priority |
| Red Hot |
Pricing page (80) + Champion job change (75) + Bombora surge (40) |
195 |
Immediate action |
| Very Warm |
Funding (45) + Hiring (40) + 3 blog visits (20) |
105 |
Same-day outreach |
| Warm |
Website visit (10) + LinkedIn engagement (30) + Email click (15) |
55 |
Nurture sequence |
| Cool |
Blog visit (10) + Email open (5) |
15 |
Monitor only |
Step 5: Action Thresholds
| Score Range |
Heat Level |
Action |
| 150+ |
Red Hot |
Immediate manual outreach by AE |
| 100-149 |
Hot |
SDR personalized sequence within 24h |
| 50-99 |
Warm |
Automated nurture + SDR monitoring |
| 20-49 |
Cool |
Marketing nurture campaigns |
| 0-19 |
Cold |
Monitor for signal changes |
Implementation Tools
- Common Room: Built-in scoring across 50+ sources
- Koala: Product + website signal scoring
- Clay: Custom scoring formulas with enrichment data
- HubSpot/Salesforce: Native lead scoring with intent integration
- 6sense: AI predictive scoring
Signal-Based Selling Framework
Core Principle
Relevant signal + Right action + Right timing = Smarter outbound
Replace volume-based prospecting with intent-driven outreach. Instead of 1,000 cold emails, send 50 highly relevant messages to people showing buying signals.
Signal Tier System & Response SLAs
Tier 1: Drop-Everything Signals (< 1 hour)
| Signal |
Action |
Channel |
Owner |
| Demo request |
Personal follow-up + calendar link |
Email + Phone |
AE |
| 3+ pricing page visits (VP+) |
Personalized email referencing pricing |
Email |
SDR |
| Champion job change to target |
Congratulations + re-engagement |
LinkedIn + Email |
AE |
| Multiple stakeholders from same company |
Map buying committee, multi-touch |
All channels |
AE + SDR |
Tier 2: Act-Today Signals (< 24 hours)
| Signal |
Action |
Channel |
Owner |
| Funding round ($10M+) |
"Congratulations" + relevant case study |
Email |
SDR |
| Relevant job posting |
Connect hiring pain to your solution |
LinkedIn + Email |
SDR |
| Bombora surge score 70+ |
Reference their research area |
Email |
SDR |
| G2 comparison activity |
Send competitive battlecard |
Email |
SDR |
Tier 3: Act-This-Week Signals (< 72 hours)
| Signal |
Action |
Channel |
Owner |
| Funding round (<$10M) |
Lighter congratulations + nurture |
Email |
Marketing |
| 3+ content articles read |
Send related premium content |
Email |
Marketing |
| Webinar attendance |
Recording + related offer |
Email |
SDR |
| Industry news mention |
Comment on news + soft touch |
LinkedIn |
SDR |
Tier 4: Monitor & Nurture (Automated)
| Signal |
Action |
Channel |
| Single website visit |
Add to retargeting audience |
Ads |
| Email open (no click) |
Continue nurture sequence |
Email |
| Social follow |
Engage with their content |
LinkedIn |
Response Time Benchmarks
| Signal Type |
Best Practice |
Industry Average |
Impact |
| Inbound demo |
< 5 minutes |
42 hours |
21x more likely to qualify at 5 min vs 30 min |
| Website visitor (high intent) |
< 1 hour |
24-48 hours |
10x higher conversion same-day |
| Champion job change |
< 24 hours |
1-2 weeks |
3x higher win rate as first mover |
| Funding announcement |
< 72 hours |
1-2 weeks |
Window closes as competitors swarm |
| Intent surge |
< 24 hours |
Not tracked |
50% of value lost after 7 days |
Building "Plays" (Signal-to-Action Playbooks)
Each play includes:
- Trigger: Specific signal or combination
- Qualification: Does account/contact match ICP?
- Action sequence: Exactly what to do
- Messaging template: Personalized to the signal
- Timing: Response SLA
- Owner: Who is responsible
- Escalation: What if no response
Example Play: "Champion Job Change"
TRIGGER: Past customer/champion changes jobs to target account
QUALIFICATION: New company fits ICP (size, industry, tech)
TIMING: Within 24 hours
SEQUENCE:
Day 0: LinkedIn connection request + congratulations
Day 1: Email referencing past relationship + how you helped before
Day 3: Share relevant case study for their new industry
Day 7: Phone call attempt
Day 10: Final email with soft CTA (coffee chat, not demo)
OWNER: AE who owned the relationship
ESCALATION: Day 14 → automated nurture
Example Play: "Website Visitor + Intent Surge"
TRIGGER: VP+ visits pricing page AND Bombora surge 60+ on relevant topic
QUALIFICATION: Company in ICP, contact is decision-maker
TIMING: Within 1 hour
SEQUENCE:
Hour 0: Slack alert to assigned SDR/AE
Hour 1: Personalized email referencing their likely pain
Day 1: LinkedIn connection + value-add message
Day 2: Phone call attempt
Day 3: Email #2 with case study
Day 5: LinkedIn voice note or video message
OWNER: SDR for outreach, AE cc'd
ESCALATION: If engagement → AE takes over immediately
Workflow Automation Stack
Signal Sources Orchestration Action Layer
-------------- ------------- ------------
RB2B (website) --> Clay (enrich + --> Outreach/Salesloft
Trigify (LinkedIn) filter + route) (email sequences)
Common Room --> --> LinkedIn (manual/
(community) HubSpot/SFDC automated)
Bombora (intent) --> (CRM + scoring) --> Slack (real-time
alerts to reps)
Performance Benchmarks
| Approach |
Reply Rate |
Contract Value |
| Cold outreach (no signal) |
6-8% |
Baseline |
| Single signal-based |
18-22% |
2-3x baseline |
| Multi-signal stacked (3+) |
35-40% |
3-4x baseline |
| Signal + ABM multi-touch |
36% meeting rate |
Highest |