Generate Leads

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

1. Define ICP Parameters

   • Parse criteria into searchable filters
   • Validate parameter compatibility
   • Set enrichment requirements

2. Initial Discovery

   • Query data sources for matching companies
   • Apply filtering and scoring logic
   • Rank by fit score

3. Contact Discovery

   • Identify decision makers and influencers
   • Map buying committee structure
   • Verify contact information

4. Data Enrichment

   • Append firmographic data
   • Add technographic insights
   • Include intent signals and triggers
   • Calculate lead scores

5. 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": "[email protected]",
      "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

1. Start Narrow: Begin with specific criteria and expand based on results
2. Validate ICP: Test initial results against known good customers
3. Iterate Quickly: Refine criteria based on response rates
4. Track Performance: Monitor which criteria generate best leads
5. 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