5.3 KiB
5.3 KiB
name, description, usage
| name | description | usage |
|---|---|---|
| generate-leads | Generate ICP-qualified leads with enrichment, intent signals, and export-ready outputs. | /sales-prospecting:generate-leads --criteria "B2B SaaS" --count 50 --enrich comprehensive |
Generate Leads Command
Generate qualified leads based on ideal customer profile (ICP) criteria with enriched contact information and buying signals.
Command Syntax
/sales-prospecting:generate-leads --criteria <criteria> --count <number> --enrich <level>
Parameters
--criteria: ICP definition (industry, size, tech stack, location, etc.)--count: Number of leads to generate (default: 20)--enrich: Enrichment level (basic|standard|comprehensive)--intent: Include intent signals (true|false, default: true)--contacts: Number of contacts per account (default: 3)--format: Output format (csv|json|salesforce|hubspot)
Examples
Basic Lead Generation
/sales-prospecting:generate-leads --criteria "SaaS companies, 50-500 employees, using Salesforce"
Comprehensive Account Research
/sales-prospecting:generate-leads \
--criteria "Financial services, >$100M revenue, Northeast US" \
--count 50 \
--enrich comprehensive \
--contacts 5
Intent-Based Targeting
/sales-prospecting:generate-leads \
--criteria "Recently funded B2B companies" \
--intent true \
--enrich standard
Process Flow
-
Define ICP Parameters
- Parse criteria into searchable filters
- Validate parameter compatibility
- Set enrichment requirements
-
Initial Discovery
- Query data sources for matching companies
- Apply filtering and scoring logic
- Rank by fit score
-
Contact Discovery
- Identify decision makers and influencers
- Map buying committee structure
- Verify contact information
-
Data Enrichment
- Append firmographic data
- Add technographic insights
- Include intent signals and triggers
- Calculate lead scores
-
Output Generation
- Format according to specification
- Include research notes and insights
- Generate outreach recommendations
Output Schema
Standard Lead Record
{
"company": {
"name": "Acme Corp",
"domain": "acme.com",
"industry": "Software",
"size": 250,
"revenue": "$50M",
"location": "San Francisco, CA",
"growth_rate": "45%"
},
"contacts": [
{
"name": "John Smith",
"title": "VP Sales",
"email": "john.smith@acme.com",
"linkedin": "linkedin.com/in/johnsmith",
"phone": "+1-415-555-0100",
"role": "Decision Maker"
}
],
"technology": {
"crm": "Salesforce",
"marketing": "HubSpot",
"relevant_tools": ["Slack", "Zoom", "Google Workspace"]
},
"signals": {
"intent_score": 82,
"buying_signals": [
"Researching competitors",
"Downloaded pricing guides",
"Attending industry events"
],
"trigger_events": [
"New VP Sales hired 2 months ago",
"Series B funding closed"
]
},
"recommendations": {
"approach": "Reference their recent funding and expansion plans",
"value_prop": "Focus on scalability and integration with Salesforce",
"timing": "High - active buying cycle"
}
}
Enrichment Levels
Basic
- Company name, website, industry
- Basic size and location data
- 1-2 contacts with titles
- Lead score
Standard
- All basic fields plus:
- Revenue and growth data
- 3-4 contacts with full details
- Technology stack overview
- Key buying signals
Comprehensive
- All standard fields plus:
- Full buying committee mapping
- Detailed technographic profile
- Intent data and signals
- Competitive intelligence
- Personalized outreach recommendations
- Account research brief
Integration Options
CRM Export
# Direct to Salesforce
/sales-prospecting:generate-leads --criteria "..." --format salesforce
# HubSpot compatible
/sales-prospecting:generate-leads --criteria "..." --format hubspot
Sales Engagement
# Outreach.io format
/sales-prospecting:generate-leads --criteria "..." --format outreach
# SalesLoft format
/sales-prospecting:generate-leads --criteria "..." --format salesloft
Advanced Options
Exclusion Lists
--exclude-companies "competitor1.com,competitor2.com"
--exclude-existing true # Skip current CRM records
Scoring Customization
--scoring-model "enterprise" # Use enterprise scoring model
--minimum-score 70 # Only include leads scoring 70+
Geographic Targeting
--location "San Francisco Bay Area"
--timezone "PST"
--language "English"
Best Practices
- Start Narrow: Begin with specific criteria and expand based on results
- Validate ICP: Test initial results against known good customers
- Iterate Quickly: Refine criteria based on response rates
- Track Performance: Monitor which criteria generate best leads
- Regular Refresh: Re-run monthly to catch new matches
Error Handling
- No matches found: Broaden criteria or adjust filters
- Too many results: Add more specific criteria
- Missing data: Adjust enrichment level or data sources
- Rate limits: Batch processing for large requests
Execution model: claude-haiku-4-5 for data processing, claude-sonnet-4 for insights generation