Loading...
Loading...
Build targeted prospect lists by analyzing LinkedIn profiles, extracting job titles, companies, locations, and recent activity. Identifies decision-makers, tracks job changes for warm outreach, and enriches contact data. Use when users need to find prospects, build lead lists, or track decision-maker movements.
npx skill4agent add onewave-ai/claude-skills linkedin-sales-navigator-alt# Prospect List: [Target Persona/Campaign Name]
**Generated**: [Date]
**Total Prospects**: [Number]
**Target Profile**: [Brief ICP description]
---
## 🎯 Search Criteria
**Company Filters**:
- Industries: [List]
- Company Size: [Range] employees
- Location: [Geographic focus]
- Funding Stage: [Series A/B/C, etc.]
- Technologies Used: [If applicable]
**Job Title Patterns**:
- Primary: [e.g., "VP of Engineering", "Head of DevOps"]
- Alternative titles: [e.g., "Engineering Director", "CTO"]
- Seniority: [VP+, Director, Manager]
- Department: [Engineering, Sales, Marketing, etc.]
**Qualification Criteria**:
- ✅ Must have: [Required attributes]
- ➕ Nice to have: [Bonus attributes]
- ❌ Exclude: [Disqualifying criteria]
---
## 📊 Prospect List Summary
### Distribution by Seniority
| Level | Count | % of Total |
|-------|-------|-----------|
| C-Level (CEO, CTO, etc.) | XX | XX% |
| VP Level | XX | XX% |
| Director Level | XX | XX% |
| Manager Level | XX | XX% |
### Distribution by Industry
| Industry | Count | % of Total |
|----------|-------|-----------|
| [Industry 1] | XX | XX% |
| [Industry 2] | XX | XX% |
| [Industry 3] | XX | XX% |
### Distribution by Company Size
| Size | Count | % of Total |
|------|-------|-----------|
| 1-50 employees | XX | XX% |
| 51-200 employees | XX | XX% |
| 201-1000 employees | XX | XX% |
| 1000+ employees | XX | XX% |
### Distribution by Location
| Region | Count | % of Total |
|--------|-------|-----------|
| [Region 1] | XX | XX% |
| [Region 2] | XX | XX% |
| [Region 3] | XX | XX% |
---
## 🔥 Hot Prospects (Priority Outreach)
### Recent Job Changes (Last 30 Days)
**#1. [Name]**
- **Title**: [New Job Title]
- **Company**: [Company Name] ([Size], [Industry])
- **Location**: [City, State]
- **Previous Role**: [Old title] at [Old company]
- **Change Type**: Promotion / New company
- **Why Hot**: New in role, likely evaluating vendors/solutions
- **Talking Point**: "Congrats on the new role! I've helped other [job titles] in their first 90 days..."
- **LinkedIn**: [Profile URL if available]
- **Company LinkedIn**: [Company page]
- **Email Pattern**: [firstname.lastname@company.com] (unverified)
---
**#2. [Name]**
- **Title**: [Job Title]
- **Company**: [Company Name]
- **Location**: [City, State]
- **Job Change**: [Details]
- **Why Hot**: [Reason this is good timing]
- **Talking Point**: [Personalization idea]
---
*(Repeat for top 10-20 hot prospects)*
---
## 💼 Qualified Prospects by Company
### Company: [Company Name 1]
**Company Details**:
- **Industry**: [Industry]
- **Size**: [X-Y] employees
- **Location**: [HQ Location]
- **Website**: [URL]
- **Recent News**: [Funding round, product launch, expansion, etc.]
- **Tech Stack**: [If known]
- **Hiring?**: [Yes/No - indicator of growth]
**Decision Makers Identified**: [Number]
#### Primary Contact: [Name]
- **Title**: [Job Title]
- **LinkedIn**: [URL if available]
- **Background**: [Brief relevant experience]
- **Tenure**: [How long at company]
- **Location**: [City, State]
- **Reports To**: [If known]
- **Team Size**: [If known]
- **Recent Activity**: [Posts, articles, job changes]
- **Email Pattern**: [Guess based on company domain]
- **Phone**: [If publicly available]
- **Shared Connections**: [Number - if you can see]
- **Personalization Notes**:
- [Interest/hobby from profile]
- [Recent company achievement]
- [Common connection to mention]
- [Content they've engaged with]
#### Secondary Contact: [Name]
- **Title**: [Job Title]
- **Why Include**: [Influencer, champion, etc.]
- **Relationship to Primary**: [Reports to, peers with, etc.]
#### Economic Buyer: [Name]
- **Title**: [Job Title]
- **Why Include**: [Budget authority]
---
### Company: [Company Name 2]
**Company Details**: [Same structure]
**Decision Makers**: [Same structure]
---
*(Repeat for all target companies)*
---
## 🎯 Prospects by Job Title
### VP of Engineering (25 prospects)
**#1. [Name]**
- **Company**: [Company] ([Size], [Industry])
- **Location**: [City, State]
- **Tenure**: [X] years at company
- **Company News**: [Recent funding, growth, challenges]
- **Likely Pain Points**:
- [Pain point 1 based on company stage]
- [Pain point 2 based on industry]
- **Outreach Angle**: [How your solution helps]
- **Email**: [Pattern guess]
- **LinkedIn**: [URL]
**#2. [Name]**
[Same structure]
---
### Head of DevOps (18 prospects)
[Same structure as above]
---
### CTO / Technical Co-Founder (12 prospects)
[Same structure as above]
---
## 🌟 Enrichment Data
### Company Signals
**Growth Indicators**:
- **Funding Rounds**: [Companies that recently raised]
- **Hiring Sprees**: [Companies with many open roles]
- **Expansion**: [Companies opening new offices]
- **Product Launches**: [Recent announcements]
**Pain Indicators**:
- **Layoffs**: [Recent workforce reductions]
- **Leadership Changes**: [C-suite churn]
- **Negative Press**: [Issues that create buying opportunity]
### Contact Finding Strategies
**Email Discovery Methods**:
1. **Pattern Matching**: Most companies use [firstname.lastname@domain.com]
2. **Hunter.io / RocketReach**: Use for verification
3. **Company Website**: Check "Team" or "About" pages
4. **Domain Search**: Try common patterns and verify with tools
**Phone Number Sources**:
- Company website (direct lines rare)
- ZoomInfo / Apollo (paid tools)
- Press releases (sometimes include media contacts)
- LinkedIn (occasionally listed)
**Verification**:
- Use email verification tools before sending
- Check bounce rates on small test batches
- Verify phone numbers exist before calling
---
## 📈 List Quality Metrics
**List Health**:
- Total Prospects: [Number]
- Companies Represented: [Number]
- Average Company Size: [Employees]
- Geographic Concentration: [% in top 3 regions]
**Confidence Levels**:
- High Confidence (verified contact info): [X%]
- Medium Confidence (likely email pattern): [X%]
- Low Confidence (need enrichment): [X%]
**Segmentation Tags**:
- 🔥 Hot (recent job change): [Number]
- 🤝 Warm (shared connection): [Number]
- ❄️ Cold (no prior contact): [Number]
- ⭐ High-Value (company size/industry match): [Number]
---
## 🎪 Segmented Campaigns
### Campaign 1: "New in Role" Sequence
**Target**: Recent job changers (30 prospects)
**Messaging**: Congratulations + value prop for first 90 days
**Timeline**: Reach out within 7 days of job change
**Channel Mix**: LinkedIn message first, email follow-up
**Expected Response Rate**: 15-20%
**Sample Message**:
> "Hi [Name], congrats on joining [Company] as [Title]! I've helped other [titles] in similar roles at [comparable company] with [specific outcome]. Would love to share what's working in your first 90 days..."
---
### Campaign 2: "Account-Based" for Top 20 Accounts
**Target**: Multiple contacts at high-value companies
**Messaging**: Company-specific research and insights
**Timeline**: Coordinate touches across contacts
**Channel Mix**: Multi-threaded approach
**Expected Response Rate**: 10-15%
---
### Campaign 3: "Industry Event Follow-Up"
**Target**: Prospects who attended/spoke at recent conferences
**Messaging**: Reference their talk/participation
**Timeline**: Within 7 days of event
**Channel Mix**: LinkedIn + email
**Expected Response Rate**: 20-25%
---
## 🔍 Research Notes
### Industry Trends (Relevant to Prospects)
- [Trend 1: How it affects target audience]
- [Trend 2: Creates urgency or pain point]
- [Trend 3: Opportunity to add value]
### Competitive Intelligence
- [What competitors prospects might be using]
- [Common pain points with current solutions]
- [Switching triggers to watch for]
### Seasonal Factors
- [Budget cycles for target companies]
- [Industry-specific timing considerations]
- [Best months for outreach]
---
## ✅ Next Steps
1. **Enrich Contact Data** (1-2 days)
- Verify email addresses using Hunter.io or similar
- Find phone numbers via ZoomInfo/Apollo (if available)
- Add to CRM with proper tagging
2. **Prioritize Outreach** (Same day)
- Start with 🔥 Hot prospects (recent job changes)
- Then 🤝 Warm prospects (shared connections)
- Finally ❄️ Cold prospects (volume play)
3. **Personalize Messaging** (2-3 days)
- Research each company's recent news
- Identify specific pain points
- Craft unique opening lines
- Prepare relevant case studies
4. **Set Up Sequences** (1 day)
- Configure outreach cadence in sales tool
- Set up tracking and follow-ups
- Prepare reply templates
- Schedule send times
5. **Monitor & Optimize** (Ongoing)
- Track open, reply, and meeting rates
- A/B test subject lines and messaging
- Refine ICP based on responses
- Update list with new prospects weekly
---
## 🛠️ Tools & Resources
**Recommended Stack**:
- **LinkedIn**: Manual prospecting (free)
- **LinkedIn Sales Navigator**: Advanced search ($$$) - if budget allows
- **Hunter.io**: Email finding and verification
- **RocketReach / ZoomInfo**: Contact enrichment
- **Apollo.io**: All-in-one prospecting platform
- **Lusha**: Chrome extension for LinkedIn
- **Clearbit**: Company data enrichment
**Alternative/Free Options**:
- **LinkedIn Boolean Search**: Advanced search operators
- **Google X-Ray Search**: Find profiles via search
- **Company Websites**: Team pages for direct info
- **Crunchbase**: Funding and company data
- **Built In**: Startups and tech companies
---
## 📋 Export Formats
**CSV Export Columns**:
**CRM Import Ready**:
- Formatted for Salesforce/HubSpot/Pipedrive
- Includes all custom fields
- Tagged for segmentation
- Assigned to sales reps
**Google Sheets Template**:
- Filterable columns
- Conditional formatting for priority
- Drop-down menus for status tracking
- Links to LinkedIn profiles
"Find all VPs of Engineering at Series B startups in San Francisco with 50-200 employees. Focus on companies that recently raised funding or are actively hiring. I need names, companies, LinkedIn profiles, and likely email addresses."