October 2026 Release Notes

• 👥 Executive Movement Data: Track internal executive role changes, with improved accuracy for executive hires and departures.
• 💰 Inferred Revenue Improvements: Fresher, more reliable company revenue estimates, plus a new numeric revenue field for more granular analysis.
• 🔧 Data Quality & Coverage Improvements: Improved company address accuracy and employee location data, plus expanded Technology Data coverage for nearly 6.9 million companies.
• 📊 Freshness Updates: This past month, we refreshed 53M+ resume experiences and detected 6.1M+ job changes across our global dataset.

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📣 Announcements

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✨ Release Updates

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Executive Movement Data Improvements

1. New Internal Executive Changes data: Track executives who have moved into new roles within the same company over the past three months, including their previous and new job titles.
2. More accurate executive hires and departures: Improved logic distinguishes internal role changes from external hires and more accurately identifies previous and next work experiences.
3. Additional executive and company information: New fields for executive names, LinkedIn profiles, and previous or next company names make it easier to identify executives and track their career movements.

• 13 fields representing internal executive role changes: recent_exec_internal_changes and 12 of its subfields.
• 2 fields providing names of the previous or next companies.
• 6 fields providing executive names and LinkedIn URLs.

{
  "recent_exec_internal_changes": [
    {
      "new_role_date": "2026-08",
      "pdl_id": "pWTQUtRFqdpPZgwSFYwTZI_0000",
      "name": "gail cohen",
      "linkedin_url": "linkedin.com/in/gc87",
      "job_title": "senior vice president gtm strategy, growth and operations",
      "job_title_role": "marketing",
      "job_title_sub_role": "growth",
      "job_title_class": "sales_and_marketing",
      "job_title_levels": [
        "senior",
        "vp"
      ],
      "previous_job_title": "vice president, brand marketing",
      "previous_job_title_role": "marketing",
      "previous_job_title_sub_role": "brand",
      "previous_job_title_class": "sales_and_marketing",
      "previous_job_title_levels": [
        "vp"
      ]
    }
  ],
  "recent_exec_hires": [
    {
      "name": "becky lane",
      "linkedin_url": "linkedin.com/in/bl73",
      "previous_company_display_name": "Berry and Sons"
    }
  ],
  "recent_exec_departures": [
    {
      "name": "cindy dean",
      "linkedin_url": "linkedin.com/in/cd79",
      "new_company_display_name": "Scott, Howard and Vaughn"
    }
  ]
}

• Identify executive hiring signals more accurately by distinguishing external hires from internal role changes.
• Track internal leadership movements to uncover organizational restructuring, shifting responsibilities, and potential changes in company priorities.
• Build executive intelligence workflows more easily with improved employment histories and direct access to executive names, LinkedIn profiles, and company information.

• Field Bundle
• Schema Definition
• Fill Rate Stats

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Inferred Revenue Improvements

1. Fresher public company revenue data: We’re now incorporating regularly updated financial reporting data to better reflect the latest reported revenue for public companies.
2. Improved revenue estimation logic: We’ve refined our calculations to reduce outliers and improve the consistency of revenue estimates relative to company size.
3. New numeric revenue estimates: The new inferred_revenue_integer field provides an estimated annual revenue amount in USD, giving you more flexibility than our predefined revenue ranges.

{
  "inferred_revenue": "$50M-$100M",
  "inferred_revenue_integer": 52000000
}

• Segment companies more confidently with fresher revenue data and fewer extreme outliers.
• Create custom revenue segments using numeric estimates instead of relying on predefined revenue ranges.
• Analyze large companies with greater granularity, including companies with estimated annual revenue above $10 billion.

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Deprecation Notice: Company Fields (Sunset: Feb 2027)

• 👉 Now – February 15, 2027: Both the deprecated and replacement fields remain available. Customers can migrate their integrations.
• February 16, 2027 (v37.1): The two deprecated fields will be removed from the Company Schema.

1. Review your integrations and queries to identify where these fields are used.
2. Update your field mappings to use the corresponding replacement fields, where supported.
3. Test your integrations before February 16, 2027, to ensure they continue working as expected.

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🚀 Data Updates

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Freshness

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Job Changes

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🌐 Coverage

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Monthly Highlights (v35.2 → v36.0)

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Commentary

• Company Data
  • The number of companies with Technology Data increased by 1.5%
  • The number of companies with Job Posting Data increased by 4.8%
• Job Posting Data
  • Job Posting Dataset coverage continued to expand with 7.6% more unique companies and 8.6% more active postings this month
• Technology Data
  • Total technology mentions increased by 3.5%, while the number of unique Company <> Technology linkages grew by 2.2%
  • We also observed Technology Data across 1.5% more companies this month

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🛠 Improvements and Bug Fixes

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Bug Fixes

• Inaccurate Spain Company HQ Addresses
  • We fixed an issue with a data source that was incorrectly attributing the HQ addresses for some companies to Spain.
• Incorrect Employee Counts by Country
  • We updated our logic to remove countries from employee_count_by_country when a company has no employees working in those countries.