Example Company Record

📘

Field Availability

Not all fields shown in the example record below are available by default. For a complete list of field pricing, see this table.

{
  "name": "people data labs",
  "size": "11-50",
  "employee_count": 122,
  "id": "tnHcNHbCv8MKeLh92946LAkX6PKg",
  "founded": 2015,
  "inferred_revenue": "$25M-$50M",
  "industry": "computer software",
  "naics": null,
  "sic": null,
  "location": {
    "name": "san francisco, california, united states",
    "locality": "san francisco",
    "region": "california",
    "metro": "san francisco, california",
    "country": "united states",
    "continent": "north america",
    "street_address": "455 market street",
    "address_line_2": "suite 1670",
    "postal_code": "94105",
    "geo": "37.77,-122.41"
  },
  "linkedin_id": "18170482",
  "linkedin_url": "linkedin.com/company/peopledatalabs",
  "linkedin_slug": "peopledatalabs",
  "linkedin_follower_count": "5697",
  "facebook_url": "facebook.com/peopledatalabs",
  "twitter_url": "twitter.com/peopledatalabs",
  "profiles": [
    "linkedin.com/company/peopledatalabs",
    "linkedin.com/company/18170482",
    "facebook.com/peopledatalabs",
    "twitter.com/peopledatalabs",
    "crunchbase.com/organization/talentiq"
  ],
  "website": "peopledatalabs.com",
  "ticker": null,
  "gics_sector": null,
  "mic_exchange": null,
  "type": "private",
  "summary": "people data labs builds people data. \n\nuse our dataset of 1.5 billion unique person profiles to build products, enrich person profiles, power predictive modeling/ai, analysis, and more. we work with technical teams as their engineering focused people data partner. \n\nwe work with thousands of data science teams as their engineering focused people data partner. these include enterprises like adidas, ebay, and acxiom, as well as startups like madison logic, zoho, and workable. we are a deeply technical company, and are backed by two leading engineering venture capital firms - founders fund and 8vc.",
  "tags": [
    "data",
    "people data",
    "data science",
    "artificial intelligence",
    "data and analytics",
    "machine learning",
    "analytics",
    "database",
    "software",
    "developer apis"
  ],
  "headline": "Your Single Source of Truth",
  "alternative_names": [],
  "alternative_domains": [],
  "affiliated_profiles": [],
  "total_funding_raised": 55250000.0,
  "latest_funding_stage": "series_b",
  "last_funding_date": "2021-11-16",
  "number_funding_rounds": 7,
  "funding_stages": [
    "series_b",
    "series_a",
    "seed"
  ],
  "ultimate_parent": null,
  "immediate_parent": null,
  "direct_subsidiaries": null,
  "all_subsidiaries": null,
  "employee_growth_rate_12_month_by_role": {
    "real_estate": 0.0,
    "design": 0.0234,
    "trades": 0.0,
    "marketing": 0.2,
    "education": 0.5421,
    "legal": 0.0,
    "customer_service": 1.3245,
    "finance": 1.0,
    "public_relations": 0.0,
    "engineering": 2.2341,
    "human_resources": 1.0435,
    "media": 0.2345,
    "sales": 0.0,
    "operations": 1.1231,
    "health": 0.0,
    "other_uncategorized": 0.0
  },
  "employee_growth_rate_12_month_by_role_v2": {
    "real_estate": 0.0,
    "design": 0.0234,
    "trades": 0.0,
    "marketing": 0.2,
    "education": 0.5421,
    "legal": 0.0,
    "customer_service": 1.3245,
    "finance": 1.0,
    "public_relations": 0.0,
    "engineering": 2.2341,
    "human_resources": 1.0435,
    "media": 0.2345,
    "sales": 0.0,
    "operations": 1.1231,
    "health": 0.0,
    "other_uncategorized": 0.0
  },
  "employee_growth_rate": {
    "3_month": 0.0522,
    "6_month": 0.0342,
    "12_month": 0.375,
    "24_month": 1.283
  },
  "employee_churn_rate": {
    "3_month": 0.0248,
    "6_month": 0.124,
    "12_month": 0.1983,
    "24_month": 0.3306
  },
  "average_employee_tenure": 1.626,
  "average_tenure_by_role": {
    "real_estate": 0.0,
    "design": 0.917,
    "trades": 0.0,
    "marketing": 1.476,
    "education": 4.833,
    "legal": 0.0,
    "customer_service": 1.141,
    "finance": 1.521,
    "public_relations": 0.0,
    "engineering": 1.827,
    "human_resources": 1.083,
    "media": 1.194,
    "sales": 0.798,
    "operations": 0.902,
    "health": 0.0
  },
  "average_tenure_by_role_v2": {
    "real_estate": 0.0,
    "design": 0.917,
    "trades": 0.0,
    "marketing": 1.476,
    "education": 4.833,
    "legal": 0.0,
    "customer_service": 1.141,
    "finance": 1.521,
    "public_relations": 0.0,
    "engineering": 1.827,
    "human_resources": 1.083,
    "media": 1.194,
    "sales": 0.798,
    "operations": 0.902,
    "health": 0.0
  },
  "average_tenure_by_level": {
    "entry": 0.0,
    "unpaid": 0.0,
    "senior": 1.076,
    "director": 1.975,
    "vp": 2.892,
    "training": 0.778,
    "manager": 1.056,
    "owner": 7.75,
    "partner": 0.0,
    "cxo": 4.486
  },
  "employee_count_by_country": {
    "united states": 108,
    "canada": 2,
    "india": 1
  },
  "employee_count_by_role": {
    "real_estate": 0,
    "design": 1,
    "trades": 0,
    "marketing": 2,
    "education": 1,
    "legal": 0,
    "customer_service": 1,
    "finance": 1,
    "public_relations": 0,
    "engineering": 26,
    "human_resources": 1,
    "media": 1,
    "sales": 2,
    "operations": 1,
    "health": 0,
    "other_uncategorized": 0
  },
  "employee_count_by_role_v2": {
    "real_estate": 0,
    "design": 1,
    "trades": 0,
    "marketing": 2,
    "education": 1,
    "legal": 0,
    "customer_service": 1,
    "finance": 1,
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    "engineering": 26,
    "human_resources": 1,
    "media": 1,
    "sales": 2,
    "operations": 1,
    "health": 0,
    "other_uncategorized": 0
  },
  "top_us_employee_metros": {
    "san francisco, california, united states": {
      "current_headcount": 26,
      "12_month_growth_rate": 0.1818
    },
    "new york, new york, united states": {
      "current_headcount": 11,
      "12_month_growth_rate": 0.2222
    },
    "seattle, washington, united states": {
      "current_headcount": 9,
      "12_month_growth_rate": 1.25
    },
    "san diego, california, united states": {
      "current_headcount": 6,
      "12_month_growth_rate": 1.0
    },
    "portland, oregon, united states": {
      "current_headcount": 6,
      "12_month_growth_rate": -0.25
    },
    "los angeles, california, united states": {
      "current_headcount": 6,
      "12_month_growth_rate": 0.2
    },
    "spokane, washington, united states": {
      "current_headcount": 4,
      "12_month_growth_rate": 1.0
    },
    "district of columbia, united states": {
      "current_headcount": 4,
      "12_month_growth_rate": 1.0
    },
    "denver, colorado, united states": {
      "current_headcount": 4,
      "12_month_growth_rate": 1.0
    },
    "chicago, illinois, united states": {
      "current_headcount": 3,
      "12_month_growth_rate": 0.5
    }
  },
  "employee_count_by_month": {
    "2015-03": 3,
    "2015-04": 3,
    "2015-05": 3,
    "2015-06": 3,
    "2015-07": 4,
    "2015-08": 7,
    "2015-09": 8,
    "2015-10": 8,
    "2015-11": 8,
    "2015-12": 8,
    "2016-01": 8,
    "2016-02": 8,
    "2016-03": 8,
    "2016-04": 9,
    "2016-05": 9,
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    "2016-07": 10,
    "2016-08": 10,
    "2016-09": 10,
    "2016-10": 11,
    "2016-11": 11,
    "2016-12": 11,
    "2017-01": 13,
    "2017-02": 13,
    "2017-03": 13,
    "2017-04": 14,
    "2017-05": 16,
    "2017-06": 16,
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    "2017-08": 17,
    "2017-09": 17,
    "2017-10": 17,
    "2017-11": 18,
    "2017-12": 19,
    "2018-01": 21,
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    "2018-04": 22,
    "2018-05": 23,
    "2018-06": 25,
    "2018-07": 27,
    "2018-08": 28,
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    "2018-10": 27,
    "2018-11": 31,
    "2018-12": 30,
    "2019-01": 35,
    "2019-02": 35,
    "2019-03": 37,
    "2019-04": 39,
    "2019-05": 39,
    "2019-06": 37,
    "2019-07": 37,
    "2019-08": 37,
    "2019-09": 37,
    "2019-10": 37,
    "2019-11": 38,
    "2019-12": 41,
    "2020-01": 43,
    "2020-02": 43,
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    "2020-06": 47,
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    "2020-08": 48,
    "2020-09": 48,
    "2020-10": 50,
    "2020-11": 51,
    "2020-12": 53,
    "2021-01": 58,
    "2021-02": 64,
    "2021-03": 70,
    "2021-04": 71,
    "2021-05": 75,
    "2021-06": 78,
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    "2021-09": 81,
    "2021-10": 87,
    "2021-11": 88,
    "2021-12": 88,
    "2022-01": 90,
    "2022-02": 92,
    "2022-03": 100,
    "2022-04": 105,
    "2022-05": 112,
    "2022-06": 117,
    "2022-07": 116,
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    "2022-09": 115,
    "2022-10": 120,
    "2022-11": 121,
    "2022-12": 121
  },
  "gross_additions_by_month": {
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    "2019-12": 3,
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    "2021-01": 8,
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    "2022-01": 2,
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    "2022-12": 0
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    "2017-10": 0,
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  },
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