lead-intelligence

Lead Intelligence

Full-cycle lead research: from raw prospect to qualified, personalized outreach-ready intelligence.

When to Use

• Researching a specific prospect or company
• Building a prospecting list for a segment
• Qualifying inbound leads
• Preparing personalized outreach campaigns

Process

Step 1: Prospect Research

For each prospect, gather:

• Role & seniority — Title, responsibilities, decision-making power
• Company — Size, industry, growth stage, tech stack, recent news
• Activity — LinkedIn posts, articles, podcast appearances, conference talks
• Network — Mutual connections, shared groups, common interests
• Pain signals — Hiring for roles that suggest our problem area, complaints in posts, industry-specific challenges

Use WebSearch extensively. Check LinkedIn, company website, press releases, Glassdoor.

Step 2: Signal Scoring

Score each prospect (0-100):

Signal	Weight	Scoring
Role fit	30%	Decision maker: 100. Influencer: 70. User: 40. Unrelated: 0.
Industry match	25%	ICP industry: 100. Adjacent: 60. Unrelated: 0.
Activity signals	20%	Active on LinkedIn/content: 100. Moderate: 50. Ghost: 10.
Company size fit	15%	Sweet spot: 100. Too big/small but viable: 50. Wrong: 0.
Timing signals	10%	Hiring, funding, expansion: 100. Stable: 50. Downsizing: 10.

Threshold: Score ≥65 = qualified. 40-64 = nurture. <40 = skip.

Step 3: Warm Path Discovery

For qualified prospects, identify:

• Mutual connections who could introduce
• Content they've engaged with (comment on it first)
• Events they're attending
• Communities they're active in
• Any existing relationship touchpoints

Step 4: Pain Mapping

Map prospect's likely pains to our value:

Pain: [specific problem they likely have]
Evidence: [what suggests this — hiring posts, complaints, industry trend]
Our angle: [how we address this specifically]
Proof: [case study, metric, or example from similar company]

Step 5: Outreach Draft

Generate personalized outreach:

• LinkedIn connection request (1 sentence, references something specific about them)
• First email (value-first, references their specific pain, under 80 words)
• Comment strategy (2-3 thoughtful comments on their recent posts before reaching out)

Output Template

# Lead Intelligence: [Prospect Name]

## Profile
- Role: [title at company]
- Company: [name, size, industry]
- Signal Score: [X/100] — [QUALIFIED / NURTURE / SKIP]

## Score Breakdown
| Signal | Score | Evidence |
|--------|-------|----------|
| Role fit | X/30 | [why] |
| Industry | X/25 | [why] |
| Activity | X/20 | [why] |
| Company size | X/15 | [why] |
| Timing | X/10 | [why] |

## Pain Map
1. [Pain → Our angle → Proof]
2. [Pain → Our angle → Proof]

## Warm Paths
- [Path 1: mutual connection, shared group, etc.]
- [Path 2]

## Recommended Outreach
### LinkedIn Request
[text]

### First Email
Subject: [subject]
[body]

### Pre-Outreach Engagement
- Comment on: [specific post] — suggested comment: [text]

Notes

• This skill is most powerful when combined with the sales-automator agent for full sequence generation
• Always verify information is current — LinkedIn profiles change, companies pivot
• Quality over quantity: 10 deeply researched prospects > 100 spray-and-pray