Buying Committee

This insight identifies up to 10 likely decision-makers or influencers at the same company as your prospect, inferred to be part of the buying committee based on title, department, and seniority.

Why This Insight Matters

Helps you multi-thread outreach by surfacing other relevant contacts
Increases the chance of landing a response by engaging more stakeholders
Gives you ammunition to name-drop contextually (if appropriate)
Reveals organizational structure and possible decision dynamics
Can inform tone, messaging depth, and content strategy

Available Subtypes

Signal	Subtype Enum	Description
Buying committee	`buyingCommitteeContactNames`	Enriched profiles for contacts likely to influence purchasing

Response Fields

Contact Object

Field	Type	Example	Description
`email`	string	`"[email protected]"`	Contact email
`linkedinUrl`	string	`"linkedin.com/in/michael-gibeault..."`	LinkedIn profile URL

Contact Data

Field	Type	Example	Description
`data.firstName`	string	`"Michael"`	First name
`data.lastName`	string	`"Gibeault"`	Last name
`data.subTitle`	string	`"Chief Information Officer at Qlik"`	Title and company
`data.summary`	string	`"Experienced IT Leader..."`	Profile summary
`data.profileId`	string	`"michael-gibeault-9773357"`	LinkedIn profile ID

Location

Field	Type	Example	Description
`data.location.city`	string	`"Boston"`	City
`data.location.state`	string	`"Massachusetts"`	State
`data.location.country`	string	`"United States"`	Country

Additional Fields

Field	Type	Example	Description
`data.skills`	array	`["ERP", "SAP", "Project Management"]`	Listed skills
`data.workHistory`	array	—	Current and past roles
`data.awards`	array	—	Awards received
`data.certifications`	array	—	Professional certifications
`data.education`	array	—	Education history

Full JSON Response Example

[
  {
    "email": "[email protected]",
    "linkedinUrl": "linkedin.com/in/michael-gibeault-9773357",
    "data": {
      "firstName": "Michael",
      "lastName": "Gibeault",
      "subTitle": "Chief Information Officer at Qlik",
      "summary": "Experienced IT Leader...",
      "location": {
        "city": "Boston",
        "state": "Massachusetts",
        "country": "United States"
      },
      "skills": ["ERP", "SAP", "Project Management"],
      "workHistory": [],
      "profileId": "michael-gibeault-9773357"
    }
  }
]

Example Output

"Also noticed Michael (CIO) and Keith (VP Sales Ops) are likely involved—let me know if looping them in makes sense..."

API Usage

Generate Insights API

To retrieve the buying committee, provide either a prospect's email or LinkedIn URL. The system will resolve the associated company and return up to 10 qualified stakeholders.

{
  "insightSubtype": "buyingCommitteeContactNames",
  "contactEmail": "[email protected]"
}

Only one of contactEmail or contactLinkedinUrl is required. If both are provided, resolution accuracy improves.

Generate Content API

{
  "enabledInsights": ["buyingCommitteeContactNames"],
  "disabledInsights": []
}

Coverage

Refresh: Daily
Coverage: 50-75% of companies
Best for: Multi-threading, account-based selling, stakeholder mapping