Clawfu-skills prospecting-research
Conduct deep account and contact research to personalize outreach and identify compelling angles for engagement
git clone https://github.com/guia-matthieu/clawfu-skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/guia-matthieu/clawfu-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/sdr-automation/prospecting-research" ~/.claude/skills/guia-matthieu-clawfu-skills-prospecting-research && rm -rf "$T"
skills/sdr-automation/prospecting-research/SKILL.mdProspecting 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 Does | You Decide |
|---|---|
| Structures research framework | Time per account |
| Identifies key data points | Outreach approach |
| Suggests personalization angles | Which angle to use |
| Creates research templates | Tool selection |
| Synthesizes findings | Message crafting |
Instructions
Step 1: Company Research
Firmographic Data:
| Data Point | Source | Why It Matters |
|---|---|---|
| Company size | LinkedIn, website | ICP fit |
| Revenue | ZoomInfo, news | Budget potential |
| Industry | Relevance | |
| Locations | Website | Territory |
| Tech stack | BuiltWith, job posts | Integration fit |
Business Context:
| Data Point | Source | Why It Matters |
|---|---|---|
| Recent funding | Crunchbase, news | Budget, growth mode |
| Executive changes | LinkedIn, news | New priorities |
| Product launches | Press releases | Initiatives |
| Earnings/reports | SEC, investor calls | Priorities, challenges |
| Partnerships | News | Ecosystem |
Step 2: Contact Research
Professional Profile:
| Data Point | Source | Why It Matters |
|---|---|---|
| Current role | Relevance | |
| Tenure | Influence level | |
| Career path | Context | |
| Content shared | LinkedIn, Twitter | Interests |
| Mutual connections | Warm 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:
| Trigger | Implication |
|---|---|
| New in role | Building stack, making changes |
| New company | Bringing solutions from previous |
| Funding | Budget available |
| Hiring | Scaling, needs support |
| Bad earnings | Cost cutting or growth push |
Step 4: Develop Angles
Personalization Hierarchy:
- Trigger-based - Strongest (funding, hire, news)
- Content-based - Strong (their posts, interviews)
- Company-based - Good (industry, challenges)
- Mutual connection - Good (warm intro potential)
- 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
- Qualify before researchicp-matching
- Trigger identificationsignal-monitoring
- Use research in sequencesoutbound-sequencer
Skill Metadata
- Domain: SDR Automation
- Complexity: Intermediate
- Mode: cyborg
- Time to Value: 15-30 min per account
- Prerequisites: Research tool access