100+ datasets found
  1. p

    CEO Email List – CEO Email Database – CEO Mailing List

    • prospectwallet.com
    Updated Sep 22, 2025
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    Prospect Wallet: B2B Mailing & Email lists | Direct Mail Marketing (2025). CEO Email List – CEO Email Database – CEO Mailing List [Dataset]. https://www.prospectwallet.com/professionals/ceo-email-list/
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    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Prospect Wallet: B2B Mailing & Email lists | Direct Mail Marketing
    Description

    CEO Email List
    Interact directly with influential executives through our CEO Email List, connecting you with Chief Executive Officers, founders, and corporate leaders who shape strategic decisions and drive business growth. Whether you’re targeting enterprise-level corporations or agile mid-sized firms in the U.S, U.K, Canada, Singapore, or global markets, this database helps you reach the right people at the top.Built from verified sources

  2. Open Sourced Database for CEO Dismissal 1992-2019

    • zenodo.org
    Updated Aug 13, 2025
    + more versions
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    Richard J. Gentry; Richard J. Gentry; Joseph Harrison; Joseph Harrison; Timothy Quigley; Timothy Quigley; Steven Boivie; Steven Boivie (2025). Open Sourced Database for CEO Dismissal 1992-2019 [Dataset]. http://doi.org/10.5281/zenodo.7591606
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    Dataset updated
    Aug 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Richard J. Gentry; Richard J. Gentry; Joseph Harrison; Joseph Harrison; Timothy Quigley; Timothy Quigley; Steven Boivie; Steven Boivie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There is a newer version of this dataset available online. Click this link for the hosting 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 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.

    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.

  3. d

    US CEO Contact Data | 1.8MM+ CEO Profiles with Validated Work Email, Mobile...

    • datarade.ai
    .json, .csv, .xls
    Updated Aug 12, 2023
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    Salutary Data (2023). US CEO Contact Data | 1.8MM+ CEO Profiles with Validated Work Email, Mobile Phone + More [Dataset]. https://datarade.ai/data-products/salutary-data-us-ceo-contact-data-500k-ceo-profiles-with-salutary-data
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 12, 2023
    Dataset authored and provided by
    Salutary Data
    Area covered
    United States of America
    Description

    Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4MM+ companies, and is updated regularly to ensure we have the most up-to-date information.

    We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

    What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

    Products: API Suite Web UI Full and Custom Data Feeds

    Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

  4. Open Sourced Database for CEO Dismissal 1992-2018

    • zenodo.org
    Updated Aug 13, 2025
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    Richard J. Gentry; Richard J. Gentry; Joseph Harrison; Joseph Harrison; Timothy Quigley; Timothy Quigley; Steven Boivie; Steven Boivie (2025). Open Sourced Database for CEO Dismissal 1992-2018 [Dataset]. http://doi.org/10.5281/zenodo.4543893
    Explore at:
    Dataset updated
    Aug 13, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Richard J. Gentry; Richard J. Gentry; Joseph Harrison; Joseph Harrison; Timothy Quigley; Timothy Quigley; Steven Boivie; Steven Boivie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There is a newer version of this dataset available online. Click the link for the hosting site.

    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.

  5. m

    Data on departure reasons in US CEO turnover over fiscal years 1992-2020

    • data.mendeley.com
    Updated Feb 27, 2024
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    Dmitriy Chulkov (2024). Data on departure reasons in US CEO turnover over fiscal years 1992-2020 [Dataset]. http://doi.org/10.17632/9mh4dg4rfn.5
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    Dataset updated
    Feb 27, 2024
    Authors
    Dmitriy Chulkov
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    We present a dataset of US CEO turnover types created with manual data collection through searches of news stories related to CEO turnover. The data identify the fiscal year of turnover and its type for top managers in publicly-traded US firms. We identify turnover cases based on changes in the CEO of the firm as recorded in secondary data sources of Compustat and Execucomp, and then we classify turnover types based on the examination of full-text news.

    We start dataset construction with the ExecuComp executive-level data for the fiscal years 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. 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. 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. 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

  6. w

    .ceo TLD Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Sep 17, 2025
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    AllHeart Web Inc (2025). .ceo TLD Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/tld/.ceo/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Sep 21, 2025 - Dec 30, 2025
    Description

    .CEO Whois Database, discover comprehensive ownership details, registration dates, and more for .CEO TLD with Whois Data Center.

  7. CEO Contact Data | CEOs Email & Phone Contact Data | 1.5M+ CEO Profiles -...

    • datarade.ai
    Updated Dec 3, 2024
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    Success.ai (2024). CEO Contact Data | CEOs Email & Phone Contact Data | 1.5M+ CEO Profiles - Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ceo-contact-data-ceos-email-phone-contact-data-1-5m-ce-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Area covered
    Nigeria, Luxembourg, Israel, Guyana, Kyrgyzstan, Sweden, Tonga, Mauritania, Burundi, Congo (Democratic Republic of the)
    Description

    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.

    • Global Coverage: With data spanning 250 countries, Success.ai delivers profiles that include crucial contact details like email addresses, phone numbers, and physical addresses.
    • Tailored Data Solutions: Adapted to your specific business needs, our data sets include B2B contact data, phone number data, email address data, address data, and small business contact data.
    • Real-Time Accuracy: Continuously updated to maintain the utmost accuracy and relevance, helping you make informed decisions swiftly.
    • Compliance and Ethics: Our data collection and processing are fully compliant with global standards, ensuring ethical usage across all business practices.
    • Strategic Use Cases: Ideal for targeted lead generation, personalized marketing campaigns, strategic sales outreach, and comprehensive market research.

    Why Choose Success.ai?

    • Best Price Guarantee: We offer competitive pricing, ensuring you get the best value for comprehensive contact data.
    • Advanced Data Validation: Utilize our AI technology for a 99% accuracy rate across all data points.
    • Comprehensive Reach: From local businesses to global enterprises, access detailed contact data for over 170 million profiles.
    • Customized Data Delivery: Receive data tailored to your requirements, directly integrated into your systems without the need for complex platform management.

    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:

    • B2B Marketing: Leverage accurate email and phone data to execute precise marketing campaigns.
    • Sales Enhancement: Utilize verified contact details to reach decision-makers and close deals more effectively.
    • Recruitment Efficiency: Access up-to-date contact information to source and recruit top talent globally.
    • Customer Insights: Enhance your understanding of customer bases with detailed address and demographic data.
    • Network Expansion: Utilize comprehensive B2C contact data to broaden your consumer outreach and engagement.

    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.

  8. m

    Data on departure reasons in US CEO turnover over 1992-2019

    • data.mendeley.com
    Updated Jul 7, 2022
    + more versions
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    Dmitriy Chulkov (2022). Data on departure reasons in US CEO turnover over 1992-2019 [Dataset]. http://doi.org/10.17632/9mh4dg4rfn.3
    Explore at:
    Dataset updated
    Jul 7, 2022
    Authors
    Dmitriy Chulkov
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    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

  9. U

    United States CEO Economic Outlook Index

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CEO Economic Outlook Index [Dataset]. https://www.ceicdata.com/en/united-states/ceo-economic-outlook-survey/ceo-economic-outlook-index
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2015 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    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.

  10. U

    United States Company's Sales: Next 6 Months: Increase

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Company's Sales: Next 6 Months: Increase [Dataset]. https://www.ceicdata.com/en/united-states/ceo-economic-outlook-survey/companys-sales-next-6-months-increase
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    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.

  11. f

    STATA file study 3 CEO life events firm growth

    • uvaauas.figshare.com
    Updated Sep 26, 2025
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    L.J. Veter (2025). STATA file study 3 CEO life events firm growth [Dataset]. http://doi.org/10.21942/uva.30223324.v1
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    L.J. Veter
    License

    http://rdm.uva.nl/en/support/confidential-data.htmlhttp://rdm.uva.nl/en/support/confidential-data.html

    Description

    This project contains the data of a study on CEO life events, marriage and parenthood in particular, and its effects on firm growth. Dataset contains data on S&P100 firms and their CEOs (2003-2013). Sources include common databases such as Compustat, Execucomp, MSCI ESG, and Boardex. Data on the private life events was collected using news articles, company websites, and biographical websites such as; Referenceforbusiness, Britannica, Notablebiographies, Marquis Who’s Who in Finance and Industry, and the Notable Names Database.

  12. d

    North America Data | USA, Canada | Decision Makers, Owner, Founder, CEO |...

    • datarade.ai
    Updated Aug 31, 2024
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    Exellius Systems (2024). North America Data | USA, Canada | Decision Makers, Owner, Founder, CEO | 99M+ Contacts | 100% Work Verified Emails, Direct Dials | 16+ Attributes [Dataset]. https://datarade.ai/data-products/north-south-america-data-usa-canada-brazil-decision-m-exellius-systems
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 31, 2024
    Dataset authored and provided by
    Exellius Systems
    Area covered
    Americas, Canada, Brazil, United States
    Description

    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:

    • Expand Market Presence: Identify and connect with key players in new markets.
    • Forge Strategic Partnerships: Reach out to potential collaborators and investors.
    • 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:

    • United States
    • Canada
    • Mexico
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Venezuela
    • 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:

    • Finance: Access to high-level contacts in banking, investment, and financial services.
    • Manufacturing: Connect with decision-makers in production, logistics, and supply chain management.
    • Technology: Engage with leaders in software, hardware, and IT services.
    • Healthcare: Reach out to executives in hospitals, pharmaceuticals, and biotech.
    • Retail: Identify key players in e-commerce, brick-and-mortar stores, and consumer goods.
    • Hospitality: Connect with industry leaders in hotels, travel, and leisure.
    • Energy: Tap into contacts within oil, gas, renewable energy, and utilities.
    • 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:

    • Employee Size: From small businesses with 1-10 employees to large enterprises with 10,000+ employees.
    • 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 today and embark on a journey toward business excellence in the dynamic ma...

  13. U

    United States Company's U.S. Capital Spending: Next 6 Months: Decrease

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Company's U.S. Capital Spending: Next 6 Months: Decrease [Dataset]. https://www.ceicdata.com/en/united-states/ceo-economic-outlook-survey/companys-us-capital-spending-next-6-months-decrease
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    United States Company's U.S. Capital Spending: Next 6 Months: Decrease data was reported at 2.000 % in Sep 2018. This records a decrease from the previous number of 4.000 % for Jun 2018. United States Company's U.S. Capital Spending: Next 6 Months: Decrease data is updated quarterly, averaging 12.000 % from Dec 2002 (Median) to Sep 2018, with 64 observations. The data reached an all-time high of 66.000 % in Mar 2009 and a record low of 2.000 % in Sep 2018. United States Company's U.S. Capital Spending: Next 6 Months: Decrease 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.

  14. Board Leadership Database (U.S. Public Firms) + ML Script for Scaling Human...

    • zenodo.org
    • iro.uiowa.edu
    bin, csv +1
    Updated Jun 26, 2023
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    Joseph S Harrison; Joseph S Harrison; Matthew Josefy; Matthew Josefy; Matias Kalm; Matias Kalm; Ryan Krause; Ryan Krause (2023). Board Leadership Database (U.S. Public Firms) + ML Script for Scaling Human Coded Data [Dataset]. http://doi.org/10.5281/zenodo.7304697
    Explore at:
    text/x-python, csv, binAvailable download formats
    Dataset updated
    Jun 26, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Joseph S Harrison; Joseph S Harrison; Matthew Josefy; Matthew Josefy; Matias Kalm; Matias Kalm; Ryan Krause; Ryan Krause
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Files include: (1) an open sourced database of CEO duality and board chair orientations developed by scaling human coded data using supervised machine learning techniques (in both .dta and .csv formats), as well as (2) the accompanying training and scoring scripts to scale human coded data.

    Users may apply the scoring script to score the same variables from company proxy statements, or may adapt the training/scoring scripts and retrain models to scale human coded data of other constructs or measures.

    We note that early steps in the process to develop our database and script required web-scraping of company filings from SEC Edgar and text extraction from collected filings. We relied on other publicly available scripts to develop our own fetcher and extraction scripts. Users seeking to duplicate those parts of the process may benefit from the following resources from Kai Chen and pipy.org:

    For resources from Kai Chen: see https://www.kaichen.work/?p=681 and https://www.kaichen.work/?p=946

    For resources from pipy.org, see sec-edgar-downloader and sec-api

  15. H

    Database on Ideology, Money in Politics, and Elections (DIME)

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 26, 2019
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    Adam Bonica (2019). Database on Ideology, Money in Politics, and Elections (DIME) [Dataset]. http://doi.org/10.7910/DVN/O5PX0B
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 26, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Adam Bonica
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1979 - 2014
    Area covered
    United States
    Description

    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)

  16. d

    Span Global Services: CEO Email Addresses in USA, UK, Europe, Canada, APAC...

    • datarade.ai
    Updated Mar 2, 2021
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    Span Global Services (2021). Span Global Services: CEO Email Addresses in USA, UK, Europe, Canada, APAC (executives with email, phone, postal address) [Dataset]. https://datarade.ai/data-products/ceo-email-addresses-with-email-phone-postal-address-95-deliverability-span-global-services
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 2, 2021
    Dataset authored and provided by
    Span Global Services
    Area covered
    Canada, United States, United Kingdom, Germany
    Description

    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.

  17. Extracted data_CEO overconfidence.txt

    • figshare.com
    txt
    Updated Nov 29, 2024
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    Nana Adwoa Effah (2024). Extracted data_CEO overconfidence.txt [Dataset]. http://doi.org/10.6084/m9.figshare.27931272.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Nana Adwoa Effah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Extracted data on CEO overconfidence scholarship from the Web of Science (WoS) database

  18. d

    Healthcare Email List | 14M+ Verified Healthcare Database

    • datacaptive.com
    Updated Dec 22, 2017
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    DataCaptive™ (2017). Healthcare Email List | 14M+ Verified Healthcare Database [Dataset]. https://www.datacaptive.com/healthcare-mailing-list/
    Explore at:
    Dataset updated
    Dec 22, 2017
    Authors
    DataCaptive™
    Area covered
    Bahrain, France, New Zealand, Canada, Kuwait, United States, Australia, United Arab Emirates, Jordan, Singapore
    Description

    Power your healthcare outreach with our Email List – 14M+ verified contacts. Connect directly with key professionals for targeted marketing success in the healthcare industry.

  19. f

    PMAQ-CEO AND DATABASE SPREADSHEET - PERIODONTOLOGY SPECIALTY.xlsx

    • figshare.com
    xlsx
    Updated Oct 1, 2023
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    Vinicius Simião (2023). PMAQ-CEO AND DATABASE SPREADSHEET - PERIODONTOLOGY SPECIALTY.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.24226231.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 1, 2023
    Dataset provided by
    figshare
    Authors
    Vinicius Simião
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  20. CEO Contact Data | Venture Capital & Private Equity Investors in the USA |...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). CEO Contact Data | Venture Capital & Private Equity Investors in the USA | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ceo-contact-data-venture-capital-private-equity-investors-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    United States
    Description

    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.

Share
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Email
Click to copy link
Link copied
Close
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Prospect Wallet: B2B Mailing & Email lists | Direct Mail Marketing (2025). CEO Email List – CEO Email Database – CEO Mailing List [Dataset]. https://www.prospectwallet.com/professionals/ceo-email-list/

CEO Email List – CEO Email Database – CEO Mailing List

Explore at:
Dataset updated
Sep 22, 2025
Dataset authored and provided by
Prospect Wallet: B2B Mailing & Email lists | Direct Mail Marketing
Description

CEO Email List
Interact directly with influential executives through our CEO Email List, connecting you with Chief Executive Officers, founders, and corporate leaders who shape strategic decisions and drive business growth. Whether you’re targeting enterprise-level corporations or agile mid-sized firms in the U.S, U.K, Canada, Singapore, or global markets, this database helps you reach the right people at the top.Built from verified sources

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