Welcome to our March 2026 release notes!

This month’s release focuses on data quality, freshness, and richer company workforce insights. We’ve made significant improvements across our datasets to ensure the information you rely on is more accurate, more current, and easier to analyze at scale.

Here’s what’s new:

• ✨ More Company Insights 7 new company fields tracking fields hiring, retention, and geographic expansion trends
• 🔎 Data Quality Improvements: More job change detections, better coverage for language proficiencies and more reliable funding information
• 🪲 Important Bug Fixes We resolved several important issues affecting current and historical experience and education data to ensure more accurate headcount analytics and cleaner profile data.
• 📊 Freshness Updates: This past month, we verified 69M+ jobs and detected 17M+ job changes across our global dataset

Dive into the full details below, or jump to what interests you using the table of contents below.

Table of Contents

📐 Schema Changes

• New Headcount Insights Fields

🚀 Data Updates

• Freshness
• Job Changes
• Coverage
• Commentary

🛠 Improvements and Bug Fixes

• Improvements
• Bug Fixes

📐 Schema Changes

New Headcount Insights Fields (Company Data)

What’s New?

This month, we’re adding 7 new Headcount Insights Fields to our Company Dataset. These new fields are designed to support workforce analytics use cases with richer data on employee movement, tenure, and geographic growth trends.

New Headcount Insights Fields

 "employee_turnover_rate": {
   "3_month": 0.0125,
   "6_month": 0.025,
   "12_month": 0.04,
   "24_month": 0.2
 },

  "annualized_employee_turnover_rate": {
    "3_month": 0.0250
    "6_month": 0.05,
    "12_month": 0.04,
    "24_month": 0.1
  },

 "median_employee_tenure": 2.641

  "median_tenure_by_level": {
    "unpaid": 0.0,
    "cxo": 4.653,
    "partner": 0.0,
    "owner": 9.861,
    "director": 1.785,
    "vp": 2.617,
    "senior": 1.958,
    "manager": 1.813,
    "entry": 0.0,
    "training": 0.5
  }

"median_tenure_by_role": {
  "advisory": 2.083,
  "trade": 0.0,
  "manufacturing": 0.0,
  "hospitality": 0.0,
  "public_service": 0.0,
  "support": 1.546,
  "research": 2.625,
  "product": 1.993,
  "education": 0.0,
  "human_resources": 2.013,
  "legal": 0.0,
  "operations": 3.619,
  "fulfillment": 1.771,
  "professional_service": 0.0,
  "creative": 1.833,
  "marketing": 1.689,
  "partnerships": 1.56,
  "sales_engineering": 2.051,
  "sales": 1.964,
  "health": 0.0,
  "analyst": 1.683,
  "finance": 4.563,
  "engineering": 2.993
}

  "employee_growth_rate_12_month_by_country": {
    "other_uncategorized": {
      "current_headcount": 1,
      "12_month_headcount": 0,
      "12_month_growth_rate": null
    },
    "united kingdom": {
      "current_headcount": 10,
      "12_month_headcount": 2,
      "12_month_growth_rate": 5
    },
    "india": {
      "current_headcount": 1,
      "12_month_headcount": 1,
      "12_month_growth_rate": 0
    },
    "colombia": {
      "current_headcount": 1,
      "12_month_headcount": 1,
      "12_month_growth_rate": 0
    },    
    "canada": {
      "current_headcount": 74,
      "12_month_headcount": 52,
      "12_month_growth_rate": 0.4231
    },
    "philippines": {
      "current_headcount": 4,
      "12_month_headcount": 3,
      "12_month_growth_rate": 0.3333
    },
    "spain": {
      "current_headcount": 0,
      "12_month_headcount": 4,      
      "12_month_growth_rate": -1
    },
    "portugal": {
      "current_headcount": 2,
      "12_month_headcount": 1,      
      "12_month_growth_rate": 1
    },
    "united states": {
      "current_headcount": 168,
      "12_month_headcount": 172,
      "12_month_growth_rate": -0.0232
    }
  }

"affiliated_entities": [
  {
    "affiliated_id": "Bz8mYR0sZFCrWvdkco07nwi7tGTt",
    "display_name": "ExampleCo",
    "relationship": "ultimate_parent",
    "employee_count": 77118
  },  
  {
    "affiliated_id": "CzJNyjIICYIBrhIOyxG5iQfQvzLt",
    "display_name": "SubsidiaryCo",
    "relationship": "direct_subsidiary",
    "employee_count": 9
  },

Why It Matters

These new fields expand our Company Dataset records with widely used workforce metrics and more ready-to-use indicators of company headcount trends. Together, these fields make it easier to analyze hiring, retention, and geographic expansion without additional calculations.

Key benefits include:

• Turnover fields: Provide standardized turnover metrics that make it easier to benchmark employee retention and workforce stability across companies and time periods
• Median tenure fields: Adds more robust metrics for understanding employee tenure that complement our existing average tenure fields
• Growth rate by country field: Simplifies analysis of a company’s geographic presence and makes it easier to identify locations with growing or shrinking footprints
• Affiliated profile employee count field: Enables easier aggregation of employee counts across parent companies, subsidiaries, and related entities.

Availability
These fields will be automatically added to the Company Premium and Company Comprehensive field bundles.

Customers receiving either of the Premium or Comprehensive field bundles will automatically receive the new fields (unless they have opted out of such updates previously).

📘

For the employee_turnover_rate field specifically:

• the 12-month turnover rate will be available in the Premium bundle
• the 3-, 6-, 12-, and 24-month turnover rates will be available in the Comprehensive bundle

FIELD NAME	BUNDLE
employee_turnover_rate	Premium Comprehensive
employee_turnover_rate.3_month	Comprehensive
employee_turnover_rate.6_month	Comprehensive
employee_turnover_rate.12_month	Premium Comprehensive
employee_turnover_rate.24_month	Comprehensive

We’d Love Your Feedback!
Your input helps shape what we build next. Share your thoughts on these fields or suggest new ones via our Roadmap Feature Request Board!

🚀 Data Updates

Freshness

The number of jobs and locations verified in our datasets (based on the job_last_verified and location_last_updated fields).

Monthly (v33.1 → v33.2)
Freshness updates over the past month.

Job Changes

The number of person records where the primary job experience changed in our Person Dataset (based on the job_last_changed field).

Monthly (v33.1 → v33.2)
Freshness updates over the past month.

Coverage (Full Stats: Person, Company, Job Posting, IP)

Monthly (v33.1 → v33.2)

Resume Dataset

API Dataset

Email Dataset

Mobile Phone Dataset

Company Dataset

Job Posting Dataset

Commentary

• Person
  • We saw a 133% increase in coverage for language proficiencies in our Resume Dataset as a result of some improvements we made this month.
  • Work email coverage increased by 5% this month, as part of our ongoing efforts to improve the quality and deliverability of our top-level email addresses
  • We saw a 7% drop in coverage for our coverage of job_company_total_funding_raised as a result of a logic improvement we made to ensure more accurate funding information.
• Job Posting Data
  • This month we saw a 8% increase in the number of unique companies tracked in our Job Posting Dataset.

🛠 Improvements and Bug Fixes

Improvements

• Sourcing Diversification
  • We expanded our data sourcing resulting in a significant increase in profile updates and job change detections.
• Additional Language Proficiencies
  • We identified gaps in how language proficiency levels were being detected and resolved issues that caused some entries to be missed or misread. As a result, proficiency coverage has increased by 133%.
• Total Funding Set to null when Unknown
  • We updated the total_funding_raised field in our Company records to return null when all associated funding_details.funding_raised values are null. Previously, this field returned 0 in these cases. This change more accurately represents situations where funding information is unavailable rather than indicating that no funding was raised.

Bug Fixes

• Incorrect End Dates on Current Roles
  • We resolved an issue where some profiles incorrectly contained an end_date (often 2026) on their current role due to a source data error. In affected records, this caused active positions to be interpreted as ended.
  • This fix restores the correct representation of current roles and resolves several downstream impacts introduced in the previous release, including:
    • Primary job detection: Some profiles temporarily lost their active primary role because the incorrect end_date caused the role to appear inactive.
    • Headcount and workforce metrics: Company headcount trends and derived insights fields (e.g. employee headcount and role transition fields) may have shown artificial declines due to the misclassification of active employees.
    • Experience-based calculations: Metrics derived from current job tenure (such as years at current company) may have been temporarily understated.
  • Not impacted: job_last_changed
    • Our job_last_changed metrics reported this month and last month were not affected by this bug and are accurate representations of the job changes detected in our dataset.
  • With this fix, current roles are again correctly identified as active, restoring accurate job status and downstream metrics.
• Removed Certifications from Names
  • We expanded our name cleaning logic to ensure certain certifications do not appear in name fields (i.e. CDPSE, NRCSS)
• Volunteering Experience as Active Job
  • We fixed an issue where volunteer experience was being added into the experience fields and in some cases being selected as an active job.
• Location Names as Experience Summaries
  • We fixed an issue where the experience.summary field for some records was being incorrectly populated with raw experience location information (e.g. New York, New York, US). This fix removes summaries that directly match location data, improving the quality and uniqueness of professional summary results.
• Education Raw School Values
  • We fixed an issue with a data source where raw school values (e.g. university of oregon) were being incorrectly mapped to the education.raw field instead of the education.school.raw field.