Buying Committee Mapper

The Buying Committee Mapper agent identifies key stakeholders in purchasing decisions, assigns buying roles, and recommends persona-specific engagement strategies with multi-threading plans.

Overview

Agent ID: buying-committee-mapper

Output: Self-contained HTML document with stakeholder profiles, engagement strategies, and multi-threading sequences.

Execution Time: 20-30 seconds depending on company size

Requires: Any company (works for both public and private)

Sample Output

See it in action: Salesforce Buying Committee

This sample shows 5 identified stakeholders with buying roles, engagement strategies, objection handling, and a complete multi-threading sequence.

Value Proposition

Sales always asks "who do I call?" - this agent answers with not just names, but:

• Where the buying center is (via FAI geographic data)
• Who to engage (contacts with roles assigned)
• How to engage each person (persona-specific strategies)
• When to sequence the outreach (multi-threading plan)

Quick Start

1. Start a Committee Mapping Run

curl -X POST "https://phoenix.hginsights.com/api/agents/v1/agents/buying-committee-mapper/runs" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "domain": "salesforce.com"
    },
    "params": {
      "deal_context": "Selling data enrichment platform",
      "product_category": "Sales Intelligence"
    }
  }'

Response:

{
  "run_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "queued"
}

2. Poll for Completion

curl "https://phoenix.hginsights.com/api/agents/v1/runs/{run_id}" \
  -H "Authorization: Bearer YOUR_API_KEY"

3. Retrieve the HTML Brief

curl "https://phoenix.hginsights.com/api/agents/v1/runs/{run_id}/artifacts" \
  -H "Authorization: Bearer YOUR_API_KEY"

Input Parameters

Required: Company Identifier

Field	Type	Description
domain	string	Company website domain (e.g., "salesforce.com")

Optional: Context Parameters

Field	Type	Default	Description
deal_context	string	-	What you're selling and deal stage
known_contacts	array	[]	Contacts you already know
product_category	string	-	Product category for buyer mapping

Buying Roles Mapped

Role	Description	Typical Titles
Economic Buyer	Controls budget, final approval	CEO, CFO, COO
Technical Buyer	Evaluates technical fit, has veto	CIO, CTO, VP IT
User Buyer	Will use the product	Managers, end users
Champion	Internal advocate	VP Sales, VP RevOps
Blocker	Opposes the deal	Procurement, Legal
Influencer	Shapes opinions	Directors, Consultants

HTML Output

The agent produces a self-contained HTML document that sales users can:

• View directly in a browser
• Share via email
• Print for meeting prep
• Save for offline reference

Brief Contents

1. Header - Company name, industry, employee count, generation date
2. Strategy Summary - High-level multi-threading approach
3. Committee Gaps - Missing roles that need to be identified
4. Stakeholder Cards - Each contact includes:
   • Name, title, department
   • LinkedIn URL and email (clickable for immediate outreach)
   • Buying role and influence level
   • Priorities and pain points
   • Engagement strategy with messaging and proof points
   • Potential objections with responses
   • Next best action
5. Multi-Threading Sequence - Step-by-step engagement plan
6. Risk Assessment - Champion strength, blocker risk, access gaps

Use Cases

AE Outbound Prospecting

Identify the complete buying committee before outreach, ensuring you engage the right people from the start.

Meeting Preparation

Prepare for multi-stakeholder meetings with persona-specific strategies and objection handling.

BDR Targeting

Know exactly which personas to target and how to message each one.

Deal Strategy

Build consensus across the buying committee with a clear multi-threading plan.

Error Handling

Scenario	Behavior
No contacts found	Returns HTML error page suggesting manual research
Very small company	Adjusts expectations, notes smaller committee expected
Private company	Proceeds without SEC data, notes limitation
Contact enrichment fails	Includes contact with available data

MCP Tools Used

Tool	Purpose
company_firmographic	Company context and size
company_fai	Identify buying centers by geography
contact_search	Find contacts by title
contact_enrich	Get LinkedIn URLs and emails
sec_filing_section	Executive info (public companies)
web_search	Contact background research

Example: Python Integration

import requests
import time

API_KEY = "phx_your_api_key_here"
BASE_URL = "https://phoenix.hginsights.com/api/agents"

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

def get_buying_committee(domain: str, deal_context: str = None) -> str:
    """Map buying committee for a target company."""

    # 1. Start the run
    payload = {
        "input": {"domain": domain},
        "params": {}
    }
    if deal_context:
        payload["params"]["deal_context"] = deal_context

    response = requests.post(
        f"{BASE_URL}/v1/agents/buying-committee-mapper/runs",
        headers=headers,
        json=payload
    )
    response.raise_for_status()
    run_id = response.json()["run_id"]
    print(f"Started run: {run_id}")

    # 2. Poll for completion
    while True:
        status_response = requests.get(
            f"{BASE_URL}/v1/runs/{run_id}",
            headers=headers
        )
        status = status_response.json()

        print(f"Status: {status['status']}")

        if status["status"] == "succeeded":
            break
        elif status["status"] == "failed":
            raise Exception(f"Run failed: {status.get('error')}")

        time.sleep(5)

    # 3. Get artifacts
    artifacts_response = requests.get(
        f"{BASE_URL}/v1/runs/{run_id}/artifacts",
        headers=headers
    )
    artifacts = artifacts_response.json()["artifacts"]

    html_artifact = next(a for a in artifacts if a["artifact_type"] == "html")
    return html_artifact["url"]

# Usage
brief_url = get_buying_committee("salesforce.com", "Selling data platform")
print(f"Brief available at: {brief_url}")

Best Practices

1. Provide deal context - Helps the agent tailor strategies to your specific situation
2. Include product category - Improves buyer role mapping accuracy
3. Review engagement strategies - Customize for your specific solution
4. Use LinkedIn URLs immediately - These are the most actionable fields for outreach

Next Steps

• POV Trigger Analyst - Identify buying triggers from financial data
• Account Research Brief - Comprehensive account intelligence
• API Reference - Complete endpoint documentation