Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We have included a snapshot of the documentation file here to help with future use along with an Excel version of the file for non-STATA users. This document also includes information on submitting edits and corrections to the open source data, which we welcome and encourage. We will acknowledge the participation of editors in the versioning changes at the bottom of the documentation file.
This version updates the set to the current turnovers as of May 1, 2023 version of Execucomp database and adds/clarifies several variables. Please check the documentation for the change log. The file was shared and completed on November 9, 2023
If you would like to get an email notification when we update the database, sign-up here. We're happy to let you know when it is updated.
Success.ai provides a robust, enterprise-grade solution with access to over 170 million verified employee profiles, encompassing comprehensive B2B and B2C contact data and more than 1.5M verified CEO Contact Data profiles. This extensive database is crafted to assist organizations in targeting key decision-makers, enhancing recruitment processes, and powering dynamic B2B marketing initiatives. Our offerings are designed to meet diverse industry needs, from small businesses to large enterprises, ensuring global coverage and up-to-date information.
Why Choose Success.ai?
APIs: Enrichment API: Our Enrichment APIs provide real-time data updates, allowing you to maintain accurate and current information in your systems. This is essential for businesses looking to enhance their lead information, making it ideal for dynamic lead generation and customer relationship management.
Lead Generation API: Maximize your lead generation efforts with our extensive database that includes key contact details like work emails and phone numbers, crucial for connecting with decision-makers. Our data is meticulously verified to ensure you’re reaching the right contacts, with up 860k API calls/day.
Key Use Cases:
Success.ai stands as your premier partner in harnessing the power of detailed contact data to drive business growth and operational efficiency. Our commitment to delivering tailored, accurate, and ethically sourced data ensures that you can engage with your target audience effectively and responsibly.
Get started with Success.ai today and experience how our B2B and B2C contact data solutions can transform your business strategies and lead you to achieve measurable success.
No one beats us on price. Period.
Facing high email bounce-backs, low CTRs, and poor response rates, while trying to target the who’s who in top companies? Our hyper-targeted and personalized CEO Email Lists but guarantee zooming ROIs, quality prospects, better brand image and long-lasting business deals. Here’s how!
We net in key CEO decision-makers undertaking major company strategic, planning, PR and execution decisions, on the strength of our segmented lists with customizable data filters like: • Job Title • Name • Email Address • Employees Size • Country • Revenue Size • Phone • Mobile and Fax • State, City, Zip Code • Website • Business Contact Number • Industry • SIC & NAICS Code • Company Name, to list a few!
This depth of data intelligence on the company’s top leadership gives Span Global Services the flexibility to undertake responsive multi-channel marketing – be it direct marketing, event marketing, email marketing, or telemarketing.
Want to bypass gatekeepers and market your products and services to the top Leadership effectively? Our targeted CEO Email Database helps you connect directly with top CEOs, with our data expertise.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
There is a new version of this data available on Zenodo. Look in the version log on this site.
We have included a snapshot of the documentation file here to help with future use along with an Excel version of the file for non-STATA users. This document also includes information on submitting edits and corrections to the open source data, which we welcome and encourage. We will acknowledge the participation of editors in the versioning changes in the documentation file.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We present a dataset created from merged secondary sources of ExecuComp and CompuStat and then augmented with manual data collection through searches of news stories related to CEO turnover.
We start dataset construction with the ExecuComp executive-level data for the period from 1992 through 2020. These data are merged with the CompuStat dataset of financial variables. As the dataset is intended for research on CEO turnover, we exclude observations in which the CEO at the start of the fiscal year is not well-defined; these are cases when there were co-CEOs and cases when the CEO was shared across different firms. The data set also excludes firm/year combinations that involve a restructuring of the firm – spinoff, buyout, merger, or bankruptcy.
We identify the CEO at the start of each year for each firm. This also helps identify the last year an individual served as CEO. In order to identify CEO turnover based on changes in the CEO from year to year, we require firm observations to extend over at least six contiguous years for the firm to remain in the sample. Cases involving the last year the firm is in the sample are excluded. We also exclude from the dataset cases when there was an interim CEO who stayed in the position for less than 2 years. This results in a sample of 3,100 firms reflecting 41,773 firm/year combinations.
For this sample, we examine news articles related to CEO turnover to confirm the reasons for each CEO departure case. We use the ProQuest full-text news database and search for the company name, the executive name, and the departure year. We identify news articles mentioning the turnover case and then classify the explanation of each CEO departure case into one of five categories of turnover. These categories represent CEOs who resigned, were fired, retired, left due to illness or death, and those who left the position but stayed with the firm in a change of duties, respectively.
The published data file does not include proprietary data from ExecuComp and CompuStat such as executive names and firm financial data. These data fields may be merged with the current data file using the provided ExecuComp and CompuStat identifiers.
The dataset consists of a single table containing the following fields: • gvkey – unique identifier for the firms retrieved from CompuStat database • firmid – unique firm identifier to distinguish distinct contiguous time periods created by breaks in a firm’s presence in the dataset • coname – company name as listed in the CompuStat database • execid – unique identifier for the executives retrieved from ExecuComp database • year – fiscal year • reason – reason for the eventual departure of the CEO executive from the firm, this field is blank for executives who did not leave the firm during the sample period • ceo_departure – dummy variable that equals 1 if the executive left the firm in the fiscal year, and 0 otherwise
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
.CEO Whois Database, discover comprehensive ownership details, registration dates, and more for .CEO TLD with Whois Data Center.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States CEO Economic Outlook Index data was reported at 109.300 % in Sep 2018. This records a decrease from the previous number of 111.100 % for Jun 2018. United States CEO Economic Outlook Index data is updated quarterly, averaging 84.700 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 118.600 % in Mar 2018 and a record low of -5.000 % in Mar 2009. United States CEO Economic Outlook Index data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s United States – Table US.S018: CEO Economic Outlook Survey.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Company's Sales: Next 6 Months: Number Change data was reported at 9.000 % in Sep 2018. This records a decrease from the previous number of 12.000 % for Jun 2018. United States Company's Sales: Next 6 Months: Number Change data is updated quarterly, averaging 19.000 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 30.000 % in Mar 2003 and a record low of 3.000 % in Dec 2003. United States Company's Sales: Next 6 Months: Number Change data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s United States – Table US.S018: CEO Economic Outlook Survey.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
We have included a snapshot of the documentation file here to help with future use along with an Excel version of the file for non-STATA users. This document also includes information on submitting edits and corrections to the open source data, which we welcome and encourage. We will acknowledge the participation of editors in the versioning changes at the bottom of the documentation file.
This version updates the set to the current turnovers as of May 30, 2022 version of Execucomp database and adds/clarifies several variables. Please check the documentation for the change log.
for updates check: https://zenodo.org/records/7591606
Welcome to the North America Data: Your Gateway to Strategic Connections Across the Americas
In today’s fast-evolving business landscape, having the right data at your fingertips is crucial for success. North America Data offers an unmatched resource designed to empower businesses by providing access to key decision-makers across the vast and diverse markets of North and South America. Our meticulously curated database serves as the cornerstone of your strategic outreach efforts, enabling you to connect with the right people in the right places at the right time.
What Makes Our Data Unique?
Depth and Precision
Our database is more than just a collection of names and contact details—it’s a gateway to deep, actionable insights about the people who shape industries. We go beyond basic data points to offer a nuanced understanding of top executives, owners, founders, and influencers. Whether you're looking to connect with a CEO of a Fortune 500 company or a founder of a dynamic startup, our data provides the precision you need to identify and engage the most relevant decision-makers.
Our Data Sourcing Excellence
Reliability and Integrity
Our data is sourced from a variety of authoritative channels, ensuring that every entry is both reliable and relevant. We draw from respected business directories, publicly available records, and proprietary research methodologies. Each piece of data undergoes a rigorous vetting process, meticulously checked for accuracy, to ensure that you can trust the integrity of the information you receive.
Primary Use-Cases and Industry Verticals
Versatility Across Sectors
The North America Data is a versatile tool designed to meet the needs of a wide range of industries. Whether you're in finance, manufacturing, technology, healthcare, retail, hospitality, energy, transportation, or any other sector, our database provides the critical insights necessary to drive your business forward. Use our data to:
Conduct Market Research: Gain a deeper understanding of industry trends and dynamics.
Seamless Integration with Broader Data Solutions
Comprehensive Business Intelligence
Our North America Data is not an isolated resource; it’s a vital component of our comprehensive business intelligence suite. When combined with our global datasets, it provides a holistic view of the global business landscape. This integrated approach enables businesses to make well-informed decisions, tapping into insights that span across continents and sectors.
Geographical Coverage Across the Americas
Pan-American Reach
Our database covers the entirety of North and South America, offering a robust range of contacts across numerous countries, including but not limited to:
And many more
Extensive Industry Coverage
Tailored to Your Sector
We cater to a vast array of industries, ensuring that no matter your focus, our database has the coverage you need. Key industries include:
Transportation: Engage with decision-makers in logistics, shipping, and infrastructure.
Comprehensive Employee Size and Revenue Data
Insights Across Business Sizes
Our database doesn’t just provide contact information—it also includes detailed data on employee size and revenue. Whether you’re targeting small startups, mid-sized enterprises, or large multinational corporations, our database has the depth to accommodate your needs. We offer insights into:
Revenue Size: Covering companies ranging from early-stage startups to global giants in the Fortune 500.
Empower Your Business with Unmatched Data Access
Unlock Opportunities Across the Americas
With the North America Data, you gain access to a powerful resource designed to unlock endless opportunities for growth and success. Whether you’re looking to break into new markets, establish strong business relationships, or enhance your market intelligence, our database equips you with the tools you need to excel.
Explore the North America Data tod...
Forager.ai - Global B2B Person Data Set is a comprehensive and AI-powered collection of over 720M professional LinkedIn profiles. Our dataset is refreshed bi-weekly (2x/month) to ensure the most up-to-date and dynamic information, setting the industry standard for data accuracy and coverage. Delivered via JSON or CSV formats, it captures publicly available information on professional profiles across industries and geographies.
| Volume and Stats | 755M+ Global Records, continually growing. Each record is refreshed twice a month, ensuring high data fidelity. Powered by first-party data curation, supporting leading sales and recruitment platforms. Hourly delivery, providing near-real-time data access. Multiple data formats: JSONL, CSV for seamless integration.
| Datapoints | 150+ unique data points available, including: Current Title, Current Company, Work History, Educational Background, location and contact details. with high accuracy +95%. Linkage to other social networks and contact data for added insights.
| Use Cases | Sales Platforms, ABM Vendors, and Intent Data Companies Fuel your platforms with fresh, accurate professional data. Gain insights from job changes and update your database in real time. Enhance contact enrichment for targeted marketing and sales outreach. Venture Capital (VC) and Private Equity (PE) Firms Track employees and founders in your portfolio companies and be the first to know when they change roles. Access employee growth trends to benchmark against competitors. Discover new talent for portfolio companies, optimizing recruitment efforts. HR Tech, ATS Platforms, and Recruitment Solutions Build effective, industry-agnostic recruitment platforms with a wealth of professional data. Track job transitions and automatically refresh profiles to eliminate outdated information. Identify top talent through work history, educational background, and skills analysis.
| Delivery Options | Flat files via S3 or Snowflake PostgreSQL Shared/Managed Database REST API Custom delivery options available upon request.
| Key Features | Over 180M U.S. Professional Profiles. 150+ Data Fields available upon request. Free data samples for evaluation purposes. Bi-Weekly Updates Data accuracy +95%
Tags: LinkedIn Data, Professional Data, Employee Data, Firmographic Data, Work Experience, Education Data, Account-Based Marketing (ABM), Intent Data, Identity Resolution, Talent Sourcing, Sales Database, Recruitment Solutions, Contact Enrichment.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Abstract: The Database on Ideology, Money in Politics, and Elections (DIME) is intended as a general resource for the study of campaign finance and ideology in American politics. The database was developed as part of the project on Ideology in the Political Marketplace, which is an on-going effort to perform a comprehensive ideological mapping of political elites, interest groups, and donors using the common-space CFscore scaling methodology (Bonica 2014). Constructing the database required a large-scale effort to compile, clean, and process data on contribution records, candidate characteristics, and election outcomes from various sources. The resulting database contains over 130 million political contributions made by individuals and organizations to local, state, and federal elections spanning a period from 1979 to 2014. A corresponding database of candidates and committees provides additional information on state and federal elections. The DIME+ data repository on congressional activity extends DIME to cover detailed data on legislative voting, lawmaking, and political rhetoric. (See http://dx.doi.org/10.7910/DVN/BO7WOW for details.) The DIME data is available for download as a standalone SQLite database. The SQLite database is stored on disk and can be accessed using a SQLite client or queried directly from R using the RSQLite package. SQLite is particularly well-suited for tasks that require searching through the database for specific individuals or contribution records. (Click here to download.) Overview: The database is intended to make data on campaign finance and elections (1) more centralized and accessible, (2) easier to work with, and (3) more versatile in terms of the types of questions that can be addressed. A list of the main value-added features of the database is below: Data processing: Names, addresses, and occupation and employer titles have been cleaned and standardized. Unique identifiers: Entity resolution techniques were used to assign unique identifiers for all individual and institutional donors included in the database. The contributor IDs make it possible to track giving by individuals across election cycles and levels of government. Geocoding: Each record has been geocoded and placed into congressional districts. The geocoding scheme relies on the contributor IDs to assign a complete set of consistent geo-coordinates to donors that report their full address in some records but not in others. This is accomplished by combining information on self-reported address across records. The geocoding scheme further takes into account donors with multiple addresses. Geocoding was performed using the Data Science Toolkit maintained by Pete Warden and hosted at http://www.datasciencetoolkit.org/. Shape files for congressional districts are from Census.gov (http://www.census.gov/rdo/data). Ideological measures: The common-space CFscores allow for direct distance comparisons of the ideal points of a wide range of political actors from state and federal politics spanning a 35 year period. In total, the database includes ideal point estimates for 70,871 candidates and 12,271 political committees as recipients and 14.7 million individuals and 1.7 million organizations as donors. Corresponding data on candidates, committees, and elections: The recipient database includes information on voting records, fundraising statistics, election outcomes, gender, and other candidate characteristics. All candidates are assigned unique identifiers that make it possible to track candidates if they campaign for different offices. The recipient IDs can also be used to match against the database of contribution records. The database also includes entries for PACs, super PACs, party committees, leadership PACs, 527s, state ballot campaigns, and other committees that engage in fundraising activities. Identifying sets of important political actors: Contribution records have been matched onto other publicly available databases of important political actors. Examples include: Fortune 500 directors and CEOs: (Data) (Paper) Federal court judges: (Data) (Paper} State supreme court justices: (Data) (Paper} Executives appointees to federal agencies: (Data) (Paper) Medical professionals: (Data) (Paper)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Extracted data on CEO overconfidence scholarship from the Web of Science (WoS) database
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Secondary data from DATASUS and the external evaluation of the second cycle of the Brazilian Dental Specialty Centers (BDSC) Access and Quality Improvement Program were used. Variable description was carried out in the first stage, and then the bivariate Poisson regression was performed to verify possible associations between the variables and the outcome (achievement of goals in Periodontics in the BDSC). In this analysis, the covariates that were associated with the outcome at the p
People Authority (PA) compiles a comprehensive database of individual profiles. The data is sourced from various feeds, including contributions from external datasets and third-party providers. Current data providers encompass public officials and directors, analysts and brokers, contacts from buy and sell-side, and insiders. The aggregated data forms a single, authoritative entry for each individual. Each entry is given a unique, permanent identifier, created through the mastering of essential attributes, both public and private, to accurately identify and describe the person. The Permid enables users to make extensive and detailed connections about individuals. Our approach advocates a standardized, federated collection system. No single entity is in charge of overseeing the individuals in PA. Various content groups utilize PA as the definitive source to reference an individual, and, if necessary, they can create or update records directly in the database using contribution tools.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Company's Sales: Next 6 Months: Increase data was reported at 87.000 % in Sep 2018. This records an increase from the previous number of 84.000 % for Jun 2018. United States Company's Sales: Next 6 Months: Increase data is updated quarterly, averaging 73.000 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 93.000 % in Mar 2018 and a record low of 24.000 % in Mar 2009. United States Company's Sales: Next 6 Months: Increase data remains active status in CEIC and is reported by Business Roundtable. The data is categorized under Global Database’s USA – Table US.S018: CEO Economic Outlook Survey.
Success.ai presents an exclusive opportunity to connect directly with top-tier decision-makers in the finance sector through our CEO Contact Data, specifically designed for venture capital and private equity investors based in the USA. This tailored database is part of our expansive collection that draws from over 700 million global profiles, meticulously verified to ensure the highest quality and reliability.
Why Choose Success.ai’s CEO Contact Data?
Specialized Investor Profiles: Access detailed profiles of CEOs and senior executives from leading venture capital and private equity firms across the United States. Investment Insights: Gain valuable insights into investment trends, fund sizes, and sectors of interest directly from the decision-makers. Verified Contact Details: We provide up-to-date email addresses and phone numbers, ensuring that you reach the right people without the hassle of outdated information. Data Features:
Targeted Financial Sector Data: Directly target influential figures in the financial sector who have the authority to make investment decisions. Comprehensive Executive Information: Profiles include not just contact information but also professional backgrounds, areas of investment focus, and operational histories. Geographic Precision: Focus your outreach efforts on US-based investors with our geographically segmented data. Flexible Delivery and Integration: Choose from various delivery options including API access for real-time integration or static files for periodic campaign use, allowing for seamless incorporation into your CRM or marketing automation tools.
Competitive Pricing with Best Price Guarantee: Success.ai is committed to providing competitive pricing without compromising on quality, backed by our Best Price Guarantee.
Effective Use Cases for CEO Contact Data:
Fundraising Initiatives: Connect with venture capital and private equity firms for fundraising activities or financial endorsements. Partnership Development: Forge strategic partnerships and collaborations with leading investors in the industry. Event Invitations: Send personalized invites to investment summits, roundtables, and networking events catered to top financial executives. Market Analysis: Utilize executive insights to better understand the investment landscape and refine your market strategies. Quality Assurance and Compliance:
Rigorous Data Verification: Our data undergoes continuous verification processes to maintain accuracy and completeness. Compliance with Regulations: All data handling practices adhere to GDPR and other relevant data protection laws, ensuring ethical and lawful use. Support and Custom Solutions:
Client Support: Our team is available to assist with any queries or specific data needs you may have. Tailored Data Solutions: Customize data sets according to specific criteria such as investment size, sector focus, or geographic location. Start Connecting with Venture Leaders: Empower your business strategy and network building by accessing Success.ai’s CEO Contact Data for venture capital and private equity investors. Whether you're looking to initiate funding rounds, explore investment opportunities, or engage with top financial leaders, our reliable data will pave the way for meaningful connections and successful outcomes.
Contact Success.ai today to discover how our precise and comprehensive data can transform your business approach and help you achieve your strategic goals.
Comprehensive dataset of 1 Graphic designers in CEO@Nextgraphics-Me.Com, United Arab Emirates as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Comprehensive dataset of 1 Commercial printers in CEO@Nextgraphics-Me.Com, United Arab Emirates as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We have included a snapshot of the documentation file here to help with future use along with an Excel version of the file for non-STATA users. This document also includes information on submitting edits and corrections to the open source data, which we welcome and encourage. We will acknowledge the participation of editors in the versioning changes at the bottom of the documentation file.
This version updates the set to the current turnovers as of May 1, 2023 version of Execucomp database and adds/clarifies several variables. Please check the documentation for the change log. The file was shared and completed on November 9, 2023
If you would like to get an email notification when we update the database, sign-up here. We're happy to let you know when it is updated.