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Company Analysis Example

This example demonstrates how to perform comprehensive company analysis using Phoenix MCP tools. We'll analyze a company from multiple angles: firmographic, technographic, and intent data.

Scenario​

You're an Account Executive researching Salesforce as a potential customer for your enterprise security product. You need to understand:

  1. Basic company information
  2. Their technology stack
  3. Department-level technology usage
  4. Recent buying signals
  5. Security spending patterns

Step 1: Get Basic Company Information​

Start with firmographic data to understand the company basics.

MCP Tool Call​

{
  "tool": "company_firmographic",
  "parameters": {
    "companyDomain": "salesforce.com"
  }
}

Example Response​

{
  "data": {
    "companyName": "Salesforce",
    "domain": "salesforce.com",
    "industry": "Enterprise Software",
    "employeeCount": 73000,
    "revenueRange": "$10B - $50B",
    "location": {
      "city": "San Francisco",
      "state": "CA",
      "country": "United States"
    },
    "foundedYear": 1999,
    "publiclyTraded": true,
    "description": "Cloud-based CRM and enterprise software solutions"
  },
  "metadata": {
    "usedProvider": "hginsights",
    "executionTimeMs": 342
  }
}

Key Insights​

  • ✅ Enterprise size (73K employees)
  • ✅ Significant revenue ($10B+)
  • ✅ Headquartered in San Francisco
  • ✅ Publicly traded (likely has budget)

Step 2: Analyze Technology Stack​

Next, check their technology stack to understand what they're using and identify potential fit or replacement opportunities.

MCP Tool Call​

{
  "tool": "company_technographic",
  "parameters": {
    "companyDomain": "salesforce.com"
  }
}

Example Response​

{
  "data": {
    "technologies": [
      {
        "category": "Cloud Infrastructure",
        "products": [
          { "name": "AWS", "usageLevel": "Heavy" },
          { "name": "Google Cloud", "usageLevel": "Moderate" }
        ]
      },
      {
        "category": "Security",
        "products": [
          { "name": "Okta", "usageLevel": "Heavy" },
          { "name": "Palo Alto Networks", "usageLevel": "Moderate" },
          { "name": "CrowdStrike", "usageLevel": "Moderate" }
        ]
      },
      {
        "category": "Development Tools",
        "products": [
          { "name": "GitHub", "usageLevel": "Heavy" },
          { "name": "Jenkins", "usageLevel": "Moderate" },
          { "name": "Docker", "usageLevel": "Heavy" }
        ]
      }
    ],
    "totalCategories": 24,
    "totalProducts": 187
  }
}

Key Insights​

  • ✅ Heavy AWS user (good for cloud security products)
  • ⚠️ Already using security products (Okta, Palo Alto, CrowdStrike)
  • ✅ Modern development stack (GitHub, Docker)
  • 💡 Opportunity: Multi-cloud security (AWS + GCP)

Step 3: Check Departmental Technology Usage​

Use FAI (Functional Area Intelligence) to understand which departments use which technologies.

MCP Tool Call​

{
  "tool": "company_fai",
  "parameters": {
    "companyDomain": "salesforce.com"
  }
}

Example Response​

{
  "data": {
    "departments": [
      {
        "name": "Engineering",
        "employeeCount": 15000,
        "technologies": ["AWS", "GitHub", "Docker", "Jenkins"],
        "spendingLevel": "Very High"
      },
      {
        "name": "IT/Security",
        "employeeCount": 2500,
        "technologies": ["Okta", "Palo Alto Networks", "CrowdStrike"],
        "spendingLevel": "High"
      },
      {
        "name": "Sales",
        "employeeCount": 22000,
        "technologies": ["Salesforce", "Outreach", "LinkedIn Sales Navigator"],
        "spendingLevel": "High"
      }
    ]
  }
}

Key Insights​

  • ✅ Large IT/Security team (2,500 people)
  • ✅ High security spending
  • 💡 Contact: Focus on Security and Engineering teams
  • 💡 Scale: Security product must support 73K users

Step 4: Identify Buying Signals​

Check for recent intent signals that indicate buying interest.

MCP Tool Call​

{
  "tool": "company_intent",
  "parameters": {
    "companyDomain": "salesforce.com"
  }
}

Example Response​

{
  "data": {
    "intentSignals": [
      {
        "topic": "Cloud Security",
        "score": 85,
        "trend": "Increasing",
        "lastUpdated": "2025-10-15"
      },
      {
        "topic": "Zero Trust Architecture",
        "score": 72,
        "trend": "Increasing",
        "lastUpdated": "2025-10-12"
      },
      {
        "topic": "API Security",
        "score": 68,
        "trend": "Stable",
        "lastUpdated": "2025-10-18"
      }
    ],
    "overallIntentScore": 78
  }
}

Key Insights​

  • 🔥 High intent for Cloud Security (score: 85)
  • 🔥 Growing interest in Zero Trust (trend: Increasing)
  • ⏰ Recent activity (last updated within 1 week)
  • 💡 Timing: NOW is a good time to reach out

Step 5: Analyze Security Spending​

Check their spending patterns in security categories.

MCP Tool Call​

{
  "tool": "company_spend",
  "parameters": {
    "companyDomain": "salesforce.com",
    "spendCategory": "Security"
  }
}

Example Response​

{
  "data": {
    "category": "Security",
    "totalSpend": "$45M - $60M",
    "yearOverYearGrowth": "+23%",
    "breakdown": [
      {
        "subcategory": "Identity & Access Management",
        "spend": "$15M - $20M",
        "products": ["Okta", "Active Directory"]
      },
      {
        "subcategory": "Network Security",
        "spend": "$12M - $15M",
        "products": ["Palo Alto Networks", "Cisco"]
      },
      {
        "subcategory": "Endpoint Security",
        "spend": "$8M - $12M",
        "products": ["CrowdStrike", "Carbon Black"]
      }
    ]
  }
}

Key Insights​

  • ✅ Significant security budget ($45-60M)
  • ✅ Growing budget (+23% YoY)
  • 💡 Budget authority: Security has funding
  • 💡 Opportunity: Could allocate $2-5M for new security product

Summary & Next Steps​

Company Profile: Salesforce​

Qualification Status: ✅ Highly Qualified

Key Facts:

  • Enterprise company (73K employees, $10B+ revenue)
  • Heavy cloud infrastructure user (AWS primary)
  • Mature security posture (existing tools in place)
  • Large security team (2,500 people)
  • Strong buying signals (Cloud Security intent: 85)
  • Substantial security budget ($45-60M, growing 23%)

Best Approach:

  1. Target Departments: IT/Security + Engineering
  2. Value Proposition: Multi-cloud security, Zero Trust architecture
  3. Competitive Angle: Complement existing tools, address gaps
  4. Budget: $2-5M deal potential
  5. Timing: Strike now (high intent signals)

Recommended Actions:

  1. Research specific security pain points in multi-cloud environments
  2. Prepare Zero Trust architecture discussion
  3. Identify contacts in Security and Engineering teams
  4. Build ROI case based on $45-60M security spend
  5. Highlight integration with existing stack (Okta, AWS)

Code Example: Complete Workflow​

Here's how to execute this entire workflow programmatically:

// 1. Firmographic
const firmographic = await phoenixMCP.callTool('company_firmographic', {
  companyDomain: 'salesforce.com'
});

// 2. Technographic
const technographic = await phoenixMCP.callTool('company_technographic', {
  companyDomain: 'salesforce.com'
});

// 3. FAI
const fai = await phoenixMCP.callTool('company_fai', {
  companyDomain: 'salesforce.com'
});

// 4. Intent
const intent = await phoenixMCP.callTool('company_intent', {
  companyDomain: 'salesforce.com'
});

// 5. Spending
const spending = await phoenixMCP.callTool('company_spend', {
  companyDomain: 'salesforce.com',
  spendCategory: 'Security'
});

// Combine and analyze
const analysis = {
  company: firmographic.data,
  technologies: technographic.data,
  departments: fai.data,
  buyingSignals: intent.data,
  spending: spending.data,
  qualificationScore: calculateScore({
    employeeCount: firmographic.data.employeeCount,
    intentScore: intent.data.overallIntentScore,
    securitySpend: spending.data.totalSpend
  })
};

console.log('Company Analysis:', analysis);