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prospecting-research

guia-matthieu
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Esta habilidad permite realizar investigaciones profundas de cuentas y contactos para personalizar la estrategia de ventas mediante la recopilación de información empresarial y la identificación de ángulos de interacción. Es ideal para preparar campañas de prospección de alto valor, construir perfiles de cuentas y personalizar el acercamiento empresarial. La habilidad estructura un marco de investigación basado en metodologías como Fanatical Prospecting, ayudándote a identificar puntos de datos clave y desencadenantes.

Instalación rápida

Claude Code

Recomendado
Principal
npx skills add guia-matthieu/clawfu-skills -a claude-code
Comando PluginAlternativo
/plugin add https://github.com/guia-matthieu/clawfu-skills
Git CloneAlternativo
git clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/prospecting-research

Copia y pega este comando en Claude Code para instalar esta habilidad

Documentación

Prospecting Research

Systematically research target accounts and contacts to craft personalized, relevant outreach that cuts through the noise.

When to Use This Skill

  • Preparing for high-value outbound
  • Personalizing enterprise outreach
  • Building account intelligence
  • Training SDRs on research
  • Creating target account profiles

Methodology Foundation

Based on Jeb Blount's Fanatical Prospecting and TOPO Account-Based Research, combining:

  • Company intelligence gathering
  • Contact profiling
  • Trigger identification
  • Angle development

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures research frameworkTime per account
Identifies key data pointsOutreach approach
Suggests personalization anglesWhich angle to use
Creates research templatesTool selection
Synthesizes findingsMessage crafting

Instructions

Step 1: Company Research

Firmographic Data:

Data PointSourceWhy It Matters
Company sizeLinkedIn, websiteICP fit
RevenueZoomInfo, newsBudget potential
IndustryLinkedInRelevance
LocationsWebsiteTerritory
Tech stackBuiltWith, job postsIntegration fit

Business Context:

Data PointSourceWhy It Matters
Recent fundingCrunchbase, newsBudget, growth mode
Executive changesLinkedIn, newsNew priorities
Product launchesPress releasesInitiatives
Earnings/reportsSEC, investor callsPriorities, challenges
PartnershipsNewsEcosystem

Step 2: Contact Research

Professional Profile:

Data PointSourceWhy It Matters
Current roleLinkedInRelevance
TenureLinkedInInfluence level
Career pathLinkedInContext
Content sharedLinkedIn, TwitterInterests
Mutual connectionsLinkedInWarm intro

Personal Connection Points:

  • Shared alma mater
  • Previous company overlap
  • Mutual connections
  • Content they've created
  • Events they've attended

Step 3: Identify Triggers

Timing Triggers:

TriggerImplication
New in roleBuilding stack, making changes
New companyBringing solutions from previous
FundingBudget available
HiringScaling, needs support
Bad earningsCost cutting or growth push

Step 4: Develop Angles

Personalization Hierarchy:

  1. Trigger-based - Strongest (funding, hire, news)
  2. Content-based - Strong (their posts, interviews)
  3. Company-based - Good (industry, challenges)
  4. Mutual connection - Good (warm intro potential)
  5. Generic - Weak (avoid)

Examples

Example 1: Full Account Research

Output:

## Account Research: DataFlow Systems

### Company Snapshot

| Attribute | Value | Source |
|-----------|-------|--------|
| Company | DataFlow Systems | |
| Industry | B2B SaaS (Analytics) | LinkedIn |
| Size | 340 employees | LinkedIn |
| Revenue | ~$50M ARR (est.) | ZoomInfo |
| Founded | 2018 | Crunchbase |
| HQ | Austin, TX | Website |
| Funding | $45M Series B (Oct 2024) | Crunchbase |

---

### Technology Stack

| Category | Tool | Source |
|----------|------|--------|
| CRM | Salesforce | BuiltWith, Jobs |
| Marketing | HubSpot | BuiltWith |
| Analytics | Mixpanel | Careers page |
| Data | Snowflake | Job posting |
| [Your Category] | None detected | Research |

**Implication:** Salesforce user = good fit for integration. No tool in our category = greenfield opportunity.

---

### Recent Triggers

| Date | Trigger | Relevance |
|------|---------|-----------|
| Oct 2024 | Series B ($45M) | Budget for tools |
| Nov 2024 | VP Sales hired | New leader = new tools |
| Dec 2024 | 12 SDR positions posted | Scaling outbound |
| Jan 2025 | G2 reviews mention "[pain]" | Known problem |

---

### Business Context

**From LinkedIn:**
- Growing 60% YoY (CEO post)
- Expanding to enterprise segment (VP Sales announcement)
- Recent product launch: AI analytics features

**From News:**
- Named to "Top 50 Startups" list
- Partnership with [Complementary Company]
- CEO spoke at [Industry Conference]

**From Job Posts:**
- Hiring: SDRs (12), AEs (5), RevOps (1)
- Reveals: Scaling sales org significantly
- Tech stack mentioned: Salesforce, Gong, Outreach (competitor!)

---

### Challenges (Inferred)

Based on triggers and context:
1. **Scaling sales team** - Need tools to support
2. **Moving upmarket** - Enterprise processes needed
3. **Rev Ops hire** - Building infrastructure
4. **Competitor in stack** - May be open to alternatives

---

### Target Contacts

| Name | Title | Priority | Angle |
|------|-------|----------|-------|
| Sarah Kim | VP Sales | Primary | New to role (90 days) |
| Mike Chen | RevOps Manager | Secondary | Posted RevOps opening |
| David Park | CEO | Executive | Series B scaling |

---

### Recommended Approach

**Primary Target: Sarah Kim, VP Sales**
- New to role = making changes
- Scaling team = needs tools
- Moving upmarket = needs process

**Angle:** "Congrats on the VP role and Series B! I noticed you're hiring 12 SDRs. Most VP Sales at your stage tell me [challenge] is their biggest issue. Curious if that's true for you?"

**Secondary Path:**
- RevOps Manager Mike Chen (operational angle)
- Mutual connection: [Name] (former colleague)

Example 2: Contact Deep Dive

Output:

## Contact Research: Sarah Kim, VP Sales

### Profile Summary

| Attribute | Value |
|-----------|-------|
| Name | Sarah Kim |
| Title | VP of Sales |
| Company | DataFlow Systems |
| Location | Austin, TX |
| Tenure | 3 months (started Oct 2024) |
| LinkedIn | linkedin.com/in/sarahkim |

---

### Career Path

| Period | Company | Role | Relevance |
|--------|---------|------|-----------|
| 2024-Present | DataFlow | VP Sales | Target |
| 2021-2024 | ScaleUp Inc | Director Sales | Previous tools? |
| 2018-2021 | BigCorp | Sales Manager | Enterprise exp |
| 2015-2018 | StartupXYZ | AE | SMB background |

**Insight:** Rose through ranks. Enterprise + SMB experience. First VP role = motivated to succeed.

---

### Content Activity

**LinkedIn Posts (Last 90 days):**
- "Excited to join DataFlow!" (Oct)
- Shared article on "Scaling SDR teams"
- Commented on post about sales forecasting
- Posted about team offsite (Dec)

**Themes:** Sales leadership, team building, scaling

**Quote-worthy:** "The hardest part of scaling isn't hiring—it's making sure every rep can sell like your best rep."

---

### Connection Points

| Type | Detail | Approach |
|------|--------|----------|
| Mutual Connection | John Smith (2nd degree) | Ask for intro |
| Content | Scaling article | Reference in outreach |
| Alma Mater | Stanford MBA | Mention if relevant |
| Previous Company | ScaleUp used our competitor | Migration angle |

---

### Professional Interests

Based on activity:
- Sales enablement
- Team scaling
- Forecasting accuracy
- Rep productivity

---

### Personalization Angles

**Angle 1: New VP + Scaling** (Strongest)

Hi Sarah,

Congrats on the VP role at DataFlow—and jumping into a Series B scaling mode!

I noticed you shared that article on scaling SDR teams. The quote "making every rep sell like your best rep" really resonated.

That's exactly what [Similar Customer] focused on when they went from 5 to 50 reps.

Curious: what's your #1 challenge as you build out the team?


**Angle 2: Content-Based**

Hi Sarah,

Loved your take on the hardest part of scaling: "making every rep sell like your best rep."

I work with a lot of VP Sales going through exactly that transition. The common thread? [Insight from our customers].

Worth comparing notes?


**Angle 3: Mutual Connection**

Hi Sarah,

John Smith mentioned you just took over sales at DataFlow—congrats!

He thought we should connect given your focus on [area].

Would love to hear what's top of mind as you build out the team.


---

### Red Flags / Cautions

- Just started (Oct) - may not have full authority yet
- Previous company used competitor - could be loyal
- No public content about specific pain points

---

### Recommended Sequence

**Day 1:** Email (Angle 1 - New VP + Scaling)
**Day 1:** LinkedIn connection (mention scaling article)
**Day 3:** Follow-up email with customer story
**Day 5:** LinkedIn voice note
**Day 7:** Final email with value offer

**Expectation:** 20-30% response rate with this level of personalization

Skill Boundaries

What This Skill Does Well

  • Structuring research process
  • Identifying personalization angles
  • Finding trigger events
  • Synthesizing intelligence

What This Skill Cannot Do

  • Access paid databases
  • Verify data accuracy
  • Replace genuine relationship building
  • Write final message copy

References

  • Jeb Blount's Fanatical Prospecting
  • TOPO Account-Based Research
  • SalesLoft Personalization Guide
  • Outreach.io Research Best Practices

Related Skills

  • icp-matching - Qualify before research
  • signal-monitoring - Trigger identification
  • outbound-sequencer - Use research in sequences

Skill Metadata

  • Domain: SDR Automation
  • Complexity: Intermediate
  • Mode: cyborg
  • Time to Value: 15-30 min per account
  • Prerequisites: Research tool access

Repositorio GitHub

guia-matthieu/clawfu-skills
Ruta: skills/sdr-automation/prospecting-research
0
ai-skillsanthropicclaude-codeclaude-skillsmarketingmcp-server

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