
People Data Labs - Company Dataset
Over 28 million companies at your fingertips.
Tap into a global database of detailed company profiles.
- 11 million Domains
- 35 million Social Handles
- 250 Countries
- 23,000 Stock Tickers
- 100 Industries
People Data Labs provides data on over 18 million companies. Use their data to help build a core corpus of companies in the public and private sectors globally. Their "insights" product ties company and person data together relationally, helping you analyze the vitals of a company using deriving insights about their workforce.
PDL provides foundational company data for major companies worldwide.
Their "data union" is an opt-in data-sharing co-op of companies across different technology industries including HR, Sales and Marketing, Property Data and more as well as the public web.
Their data contains over 50 fields of Company Data.
This data can be relationally linked to their "Person Dataset" using their company id field.
They cover the entire globe, with a bias towards companies with an online presence meaning their insights data correlates the best with market performance for companies in the technology and financial services verticals and worse for pure-play retail and industrials companies.
USE CASES
Fraud & Identity
Build informed risk models to confidently identify and categorize suspicious events and bad-actors.
Investment Intelligence
Maintain your portfolio database, analyze company headcount changes, and expand your understanding of the employee composition of a specific organization.
Sales & Marketing
Clean account data or enhance your company data to create better audiences.
COMPANY DATA FIELDS
Company data, also known as firmographic data, relates to a company´s key characteristics. The data is generally used by investors to source, prioritize, and diligence investment opportunities as well as sales teams to segment and target accounts.
Company |
Name Primary and alternative names |
Founded Year |
The founding year of the company |
Employee Count |
Current number of employees working at the company |
Primary Location |
The current location of a company’s headquarters |
Website |
The primary company website |
Social Profiles |
LinkedIn, X (Twitter), META (Facebook), Crunchbase profiles and more |
Industry |
Self-reported industry of the company and official NAICS/SICS codes |
Stock Ticker |
Stock ticker, MIC code for the stock exchange, and GICS standard sector classification |
Company Type |
Company types include, educational, government, non-profit, private, and public |
Alternative Domains (PREMIUM) |
A list of alternate domains associated with the company |
Parents & Subsidiaries (PREMIUM) |
The company’s direct and indirect parents and subsidiaries |
COMPANY INSIGHT FIELDS (ALL PREMIUM)
Company insights fields are derived through the analysis of our global database to signal the performance of an organization.
This data is primarily used by investment teams to analyze market trends and identify new investment opportunities.
Average Employee Tenure |
The average years of experience at the company, by job level and by role |
Employee Count Breakdowns |
The number of current employees by country, by month, by level, and by role |
Employee Growth & Churn Rates |
The percent growth or decline in employee count over a period of time |
Gross Additions & Departures |
The total number of employees that joined or left the company each month |
Inferred Revenue |
Estimated annual revenue in US Dollars |
Recent Executive Changes |
Details on executives that have joined or left the company in the past three months |
Top Next and Previous Employers |
The top ten next and previous companies for employees broken down by job role |
Top US Metros |
The top ten US metros for the company, ordered by the current headcount at each location. |
Important Dataset Notes
This dataset is not available for direct online purchase. Please contact sales directly at Sales@CloudQuant.com.
The data is available through our sales department who can provide you with current pricing and a quote for accessing this valuable dataset.
This may bedue to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.