Success.ai delivers comprehensive access to Small Business Contact Data, tailored to connect you with North American entrepreneurs and small business leaders. Our extensive database includes verified profiles of over 170 million professionals, ensuring direct access to decision-makers in various industries. With AI-validated accuracy, continuously updated datasets, and a focus on compliance, Success.ai empowers businesses to enhance their marketing, sales, and recruitment efforts while staying ahead in a competitive market.

Key Features of Success.ai's Small Business Contact Data:

Extensive Coverage: Access profiles for small business owners and entrepreneurs across the United States, Canada, and Mexico. Our database spans multiple industries, from retail to technology, providing diverse business insights.

Verified Contact Details: Each profile includes work emails, phone numbers, and firmographic data, enabling precise and effective outreach.

Industry-Specific Data: Target key sectors such as e-commerce, professional services, healthcare, manufacturing, and more, with tailored datasets designed to meet your specific business needs.

Real-Time Updates: Continuously updated to maintain a 99% accuracy rate, our data ensures that your campaigns are always backed by the most current information.

Ethical and Compliant: Fully compliant with GDPR and other global data protection regulations, ensuring ethical use of all contact data.

Why Choose Success.ai for Small Business Contact Data?

Best Price Guarantee: Enjoy the most competitive pricing in the market, delivering exceptional value for comprehensive and verified contact data.

AI-Validated Accuracy: Our advanced AI systems meticulously validate every data point to deliver unmatched reliability and precision.

Customizable Data Solutions: From hyper-targeted regional datasets to comprehensive industry-wide insights, we tailor our offerings to meet your exact requirements.

Scalable Access: Whether you're a startup or an enterprise, our solutions are designed to scale with your business needs.

Comprehensive Use Cases for Small Business Contact Data:

1. Targeted Marketing Campaigns:

Refine your marketing strategy by leveraging verified contact details for small business owners. Execute highly personalized email, phone, and multi-channel campaigns with precision.

1. Sales Prospecting:

Identify and connect with decision-makers in key industries. Use detailed profiles to enhance your sales outreach, close deals faster, and build long-term client relationships.

1. Recruitment and Talent Acquisition:

Discover small business leaders and key players in specific industries to strengthen your recruitment pipeline. Access up-to-date profiles for sourcing top talent.

1. Market Research:

Gain insights into small business trends, operational challenges, and industry benchmarks. Leverage this data for competitive analysis and market positioning.

1. Local Business Engagement:

Foster partnerships with small businesses by identifying community leaders and entrepreneurial influencers in your target regions.

APIs to Enhance Your Campaigns:

Enrichment API: Integrate real-time updates into your CRM and marketing systems to maintain accurate and actionable contact data. Perfect for businesses looking to improve lead quality.

Lead Generation API: Maximize your lead generation efforts with access to verified contact details, including emails and phone numbers. Tailored for precise targeting of small business decision-makers.

Tailored Solutions for Diverse Needs:

Marketing Agencies: Create targeted campaigns with verified data for small business owners across diverse sectors.

Sales Teams: Drive revenue growth with detailed profiles and direct access to decision-makers.

Recruiters: Build a talent pipeline with current and verified data on small business leaders and professionals.

Consultants: Provide data-driven recommendations to clients by leveraging detailed small business insights.

What Sets Success.ai Apart?

170M+ Profiles: Access a vast and detailed database of small business owners and entrepreneurs.

Global Standards Compliance: Rest assured knowing all data is ethically sourced and compliant with global privacy regulations.

Flexible Integration: Seamlessly integrate data into your existing workflows with customizable delivery options.

Dedicated Support: Our team of experts is always available to ensure you maximize the value of our solutions.

Empower Your Outreach with Success.ai:

Success.ai’s Small Business Contact Data is your gateway to building meaningful connections with North American entrepreneurs. Whether you're driving targeted marketing campaigns, enhancing sales prospecting, or conducting in-depth market research, our verified datasets provide the tools you need to succeed.

Get started with Success.ai today and unlock the potential of verified Small Business ...

This statistic depicts the top obstacles to success as reported by small business in the United States in October 2018. During the survey, ** percent of respondents stated that generating new business is either moderately or very challenging.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

The paper deals with the potential relationship between higher education and entrepreneurial activities. Universities and other higher education institutions could be seen as boosting entrepreneurship in the region. University graduates could be more often involved in starting up a new business and the university itself could commercialize their innovations by creating academic spin-off companies. The paper aims to examine the potential effect of higher education on the probability of starting a business as well as its further success. Based on the data for 40 EU and non-EU countries, retrieved from a Eurobarometer survey, we conducted probit and IV probit regressions. These have tested the assumed relationship between higher education and entrepreneurial activities. Our results strongly suggest that higher education can often be very beneficial for starting up a new business and this seems to be one of the factors determining the success of new businesses. Furthermore, those respondents who attended courses related to entrepreneurship appear to be more active in starting-up a business and this seems to be also positively correlated with the company's future success. Interestingly, university graduates from Brazil, Portugal and India in particular, tend to appreciate the role that their universities have played in acquiring the skills to enable them to run a business.

Discover the latest small business marketing statistics in 2024 from Wix and Vistaprint. Learn valuable insights and effective marketing strategies to stay ahead of the game.

This dataset includes 2,100 entries of student-led entrepreneurship projects sourced from 40 academic institutions between 2019 and 2023. It was developed to aid in predictive modeling of the success rate of college startup initiatives using deep learning and machine learning approaches.

The dataset captures both structural and strategic elements that influence startup outcomes — such as funding, innovation, team dynamics, and support systems like mentorship and incubation. Each project is labeled as either successful (1) or not successful (0) based on a calculated success metric derived from multiple weighted inputs.

This data can be used to train classification models, perform feature analysis, and build intelligent recommendation systems to support innovation incubators, educational policymakers, and student entrepreneurs.

The current dataset primarily captures internal project-specific factors such as team experience, innovation score, funding, mentorship, and incubation support. However, it does not include broader environmental variables, such as macroeconomic indicators (e.g., industry growth rates, regional investment trends) or regional factors (e.g., resource availability in large vs. small cities). These external factors can significantly influence startup success. To enhance the dataset’s robustness, future work can integrate supplementary environmental variables using publicly available data sources, such as regional economic indicators, startup density, proximity to innovation hubs, and local infrastructure quality. Incorporating these variables will enable the predictive model to account for both internal and external determinants of success, thereby improving its accuracy, generalizability, and practical applicability for diverse institutional and regional contexts.

Key Features Feature Name Description project_id Unique identifier for each project institution_name Name of the college or university institution_type Type of institution (Public, Private, Technical, Non-technical) project_domain Startup domain (e.g., HealthTech, EdTech, AgriTech) team_size Number of students in the team avg_team_experience Average prior experience of the team members (in years) innovation_score Normalized score reflecting novelty and originality of the project funding_amount_usd Initial funding received by the project in USD mentorship_support Whether the team received mentorship (1 = Yes, 0 = No) incubation_support Whether the project was incubated (1 = Yes, 0 = No) market_readiness_level Readiness scale from idea (1) to market-ready (5) competition_awards Number of awards won in competitions business_model_score Score representing clarity and scalability of the business model (0 to 1) technology_maturity Maturity level of the tech used (1 = prototype, 5 = production ready) year Year the project was submitted success_label Target variable: 1 = Successful, 0 = Not successful

Success.ai’s Small Business Contact Data for European Small Businesses offers a comprehensive dataset designed to help businesses connect with small and medium-sized enterprises (SMEs) across Europe. Covering a diverse range of industries, this dataset provides verified profiles, employee counts, leadership contacts, and firmographic insights for small businesses throughout the region.

Whether your goal is to expand into new markets, launch targeted marketing campaigns, or identify potential partners, Success.ai ensures your outreach efforts are powered by reliable, continuously updated, and AI-validated data.

Supported by our Best Price Guarantee, this solution delivers exceptional value for businesses seeking to engage with Europe’s thriving SME ecosystem.

Why Choose Success.ai’s Small Business Contact Data for Europe?

1. Verified Contact Data for Effective Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of small business owners, managing directors, and decision-makers.
   • AI-driven validation ensures 99% accuracy, reducing communication errors and maximizing campaign efficiency.

2. Regional Focus on European Small Businesses

   • Includes profiles of small businesses across Western Europe, Eastern Europe, and Scandinavia, covering diverse markets and industries.
   • Gain insights into regional trends, cultural nuances, and business practices unique to the European SME sector.

3. Continuously Updated Datasets

   • Real-time updates reflect changes in leadership, business expansions, service offerings, and operational footprints.
   • Stay ahead of market developments and maintain relevance in your outreach.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use of data and compliance with legal standards.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with small business owners, directors, and operational leaders across Europe.
• 30M Company Profiles: Access firmographic data, including company sizes, revenue ranges, and geographic distributions.
• Employee and Leadership Contacts: Gain direct access to individuals responsible for business operations, procurement, and strategic decisions.
• Business Insights: Understand industry focuses, market positioning, and growth trajectories.

Key Features of the Dataset:

1. Decision-Maker Profiles in Small Businesses

   • Identify and connect with owners, managing partners, directors, and department leads shaping business strategy.
   • Target professionals making decisions on vendor selection, operational efficiency, and customer engagement.

2. Advanced Filters for Precision Targeting

   • Filter by industry, geographic location, company size, or revenue range to reach the right audience.
   • Tailor campaigns to address unique challenges faced by European SMEs, such as digital transformation or supply chain optimization.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data provide personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or software solutions designed for the operational needs of small businesses.
   • Build relationships with decision-makers managing budgets, vendor negotiations, and business growth.

2. Marketing and Brand Awareness

   • Design targeted campaigns to promote tools, resources, or training programs that enhance productivity or customer engagement for small businesses.
   • Leverage verified contact data to create effective email, social media, and multi-channel marketing campaigns.

3. Recruitment and Workforce Solutions

   • Engage HR professionals or business owners seeking qualified staff or workforce optimization tools.
   • Offer recruitment platforms, training programs, or employee retention strategies tailored to small businesses.

4. Market Research and Competitive Analysis

   • Analyze trends among European SMEs to identify growth opportunities, industry challenges, and market demands.
   • Benchmark against competitors and refine product or service offerings to meet specific small business needs.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality small business data at competitive prices, ensuring strong ROI for your outreach and marketing initiatives in Europe.

2. Seamless Integration

   • Integrate verified data into CRM systems, marketing platforms, or analytics tools via APIs or downloadable formats, simplifying data management and boosting productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven strategies, improve targeting, and enhance conversion rates in campaigns aimed at small businesses.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus ...

The statistic shows the leading challenges global organizations face when undertaking business initiatives in 2017 and 2018. As of that time, dysfunctional/fragmented organizational/operating models, designs and processes was identified by ** percent of the respondents as a challenge to successful business initiatives.

Discover how Black BRAND's B-Force Accelerator empowers black-owned businesses with IBISWorld's insights.

Success.ai’s Startup Data for Global Tech Startups offers a comprehensive and reliable dataset tailored for businesses, investors, and organizations seeking to connect with tech startups worldwide. Covering emerging companies in software, AI, fintech, health tech, and other innovation-driven industries, this dataset provides detailed funding insights, firmographic data, and verified contact details for decision-makers.

With access to continuously updated, AI-validated data from over 700 million global profiles, Success.ai ensures your outreach, partnership development, and investment strategies are powered by accuracy and relevance. Backed by our Best Price Guarantee, this solution is designed to help you thrive in the competitive global startup ecosystem.

Why Choose Success.ai’s Startup Data?

1. Verified Contact Data for Precision Outreach

   • Access verified contact details, including work emails and phone numbers, for startup founders, CEOs, and key decision-makers.
   • AI-driven validation ensures 99% accuracy, reducing errors and improving engagement outcomes.

2. Comprehensive Global Coverage

   • Includes tech startups from major hubs such as Silicon Valley, Europe’s fintech capitals, Asia’s innovation centers, and beyond.
   • Gain insights into startup operations, growth trajectories, and funding patterns across diverse regions.

3. Continuously Updated Datasets

   • Real-time updates capture changes in startup funding rounds, leadership roles, and business expansions.
   • Stay informed on emerging opportunities in the fast-evolving global startup landscape.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access comprehensive startup data for tech companies and professionals worldwide.
• Funding Insights: Understand investment rounds, funding amounts, and venture capital backing for tech startups.
• Firmographic Data: Gain details on company size, industry focus, business locations, and market presence.
• Decision-maker Profiles: Connect with founders, executives, and leadership teams driving innovation in global startups.

Key Features of the Dataset:

1. Comprehensive Startup Profiles

   • Identify and connect with tech startups specializing in AI, SaaS, fintech, health tech, e-commerce, and more.
   • Target decision-makers responsible for product innovation, market expansion, and fundraising strategies.

2. Advanced Filters for Precision Campaigns

   • Filter startups by funding stage (seed, Series A, Series B+), industry focus, or geographic location.
   • Tailor campaigns to align with specific business needs, such as partnership opportunities or technology solutions.

3. Regional and Industry-specific Insights

   • Leverage data on startup trends, funding activity, and market demands to refine strategies.
   • Align outreach efforts with high-growth sectors and regional opportunities in tech innovation.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Investor Relations and Partnership Development

   • Build relationships with startups seeking venture capital, strategic investments, or market partnerships.
   • Foster collaborations that enhance innovation, accelerate growth, or enter new markets.

2. Marketing Campaigns and Outreach

   • Promote technology solutions, consulting services, or operational tools tailored to the unique needs of startups.
   • Use verified contact data for targeted multi-channel outreach, including email, phone, and LinkedIn.

3. Market Research and Competitive Analysis

   • Analyze global startup trends, funding dynamics, and innovation hotspots to refine product development and marketing strategies.
   • Benchmark against competitors to identify high-demand solutions and underserved markets.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in tech startups seeking candidates for engineering, product management, or growth roles.
   • Provide workforce optimization platforms or talent development solutions tailored to startups.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality startup data at competitive prices, ensuring strong ROI for your marketing, sales, and investment initiatives.

2. Seamless Integration

   • Integrate verified startup data into CRM systems, analytics tools, or marketing platforms via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost engagement rates in startup-focused campaigns.

4. Customizabl...

This DataSet to track the latest trends, we’ve compiled small business and startup statistics to better understand what makes a startup tick. If you’re looking to build a startup or just interested in diving into the numbers, check out these informative statistics on success, failure, funding and more before getting started.

Objective The objective of the project is to predict whether a startup which is currently operating turn into a success or a failure. The success of a company is defined as the event that gives the company's founders a large sum of money through the process of M&A (Merger and Acquisition) or an IPO (Initial Public Offering). A company would be considered as failed if it had to be shutdown.

This problem will be solved through a Supervised Machine Learning approach by training a model based on the history of startups which were either acquired or closed. The trained model will then be used to make predictions on startups which are currently operating to determine their success/failure.

Do an EDA and try to predict which startups and in which field achieve great success! https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F9770082%2Fd1cc4e53157d2f3f0a9f661b6f2cd28f%2FGroup%202215.jpg?generation=1674420531095211&alt=media" alt="">

You will have to answer the following questions: - How Many New Businesses Fail ? - How Many New Businesses Secsees ? - Reasons for Failing - How to Avoid Failing And many other questions...

The Federated Startup Innovation and Entrepreneurship Dataset is a synthetic dataset designed to simulate real-world entrepreneurial ecosystems where organizations such as incubators, accelerators, and corporate innovation labs collect data about startups. This dataset is privacy-preserving and federated-learning-ready, making it ideal for research in:

Startup success prediction

Entrepreneurship decision-making

Federated learning (FL) model development

Vertical Federated Learning (VFL) simulations

Dragonfly Algorithm-driven Attention-based Deep Neural Networks (DFA-Attn-DeepNet)

Key Features Org_ID: Simulates multiple institutions for federated learning setups.

Startup attributes: Team size, idea type, previous funding, mentorship hours, and incubation period.

Performance indicators: Business model score, market interest index, and pitch competition results.

Target Variable: Startup_Success (0 = Not Successful, 1 = Successful).

Highlights Designed for privacy-preserving AI research without sharing sensitive data.

Supports federated and vertical learning experiments.

Useful for AI-driven entrepreneurship analytics and startup ecosystem modeling.

Find detailed Small Business Contact Data and company information for small businesses globally with Success.ai. Includes firmographic data, employee counts, and decision-maker profiles. Best price guaranteed.

Historical Dataset of H S For Business And Economic Success is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2010-2023),Distribution of Students By Grade Trends,Hispanic Student Percentage Comparison Over Years (2010-2023),Black Student Percentage Comparison Over Years (2010-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2010-2023),Free Lunch Eligibility Comparison Over Years (2010-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2023)

Access Small Business Contact Data for North America with Success.ai. Includes phone numbers, work emails, and verified profiles for over 170M entrepreneurs. Best price guaranteed.

The dataset I will be collecting consists of posts from relevant subreddits. To ensure relevance, I will use both keyword searches ("successful startup factors") and regex patterns to filter posts containing phrases such as - r”startup\s+success\s+factor" - r"factors\s+for\s+startup\s+growth" - r"predictors\s+of\s+startup\s+success" - r"keys?\s+to\s+successful\s+ecommerce?" - r"startup\s+(growth|scalability|traction)\s+factors" - r"market\s+fit\s+for\s+startups?" - r"funding\s+strategies\s+for\s+startups" - r"customer\s+acquisition\s+for\s+startups" - r"team\s+dynamics\s+in\s+startups?" - r"entrepreneurial\s+(skills|traits)\s+for\s+startup\s+success"

Key aspects of the dataset

Subreddits

Data will be collected from the following: o - r/smallbusiness o r/Entrepreneur o r/startup o r/social media marketing

1. Search Query: The search will use queries " successful startup factors "(131 posts),’’What are the key success factors for a startup business?”(52 posts),” key successful startup factors during social media era”(74 posts), "factors influencing startup success"(34 posts),” strategies for a successful business in digital era”(53 posts),”qualities of a successful startup”(134 posts),”social media marketing tips for successful startup”(86 posts)
2. Timeframe: Data will be collected for a specific time range, between 2019-2023, to capture recent discussions when covid kicked off the digital marketing era. #### Post content:
3. Post content
4. Post body
5. Post upvotes

Survey of innovation and business strategy, market share of highest selling good or service in the enterprise's main market, by North American Industry Classification System (NAICS) and enterprise size for Canada and regions from 2009 to today.

Description

This dataset contains statistics on the world's billionaires, including information about their businesses, industries, and personal details. It provides insights into the wealth distribution, business sectors, and demographics of billionaires worldwide.

Key Features

• rank: The ranking of the billionaire in terms of wealth.
• finalWorth: The final net worth of the billionaire in U.S. dollars.
• category: The category or industry in which the billionaire's business operates.
• personName: The full name of the billionaire.
• age: The age of the billionaire.
• country: The country in which the billionaire resides.
• city: The city in which the billionaire resides.
• source: The source of the billionaire's wealth.
• industries: The industries associated with the billionaire's business interests.
• countryOfCitizenship: The country of citizenship of the billionaire.
• organization: The name of the organization or company associated with the billionaire.
• selfMade: Indicates whether the billionaire is self-made (True/False).
• status: "D" represents self-made billionaires (Founders/Entrepreneurs) and "U" indicates inherited or unearned wealth.
• gender: The gender of the billionaire.
• birthDate: The birthdate of the billionaire.
• lastName: The last name of the billionaire.
• firstName: The first name of the billionaire.
• title: The title or honorific of the billionaire.
• date: The date of data collection.
• state: The state in which the billionaire resides.
• residenceStateRegion: The region or state of residence of the billionaire.
• birthYear: The birth year of the billionaire.
• birthMonth: The birth month of the billionaire.
• birthDay: The birth day of the billionaire.
• cpi_country: Consumer Price Index (CPI) for the billionaire's country.
• cpi_change_country: CPI change for the billionaire's country.
• gdp_country: Gross Domestic Product (GDP) for the billionaire's country.
• gross_tertiary_education_enrollment: Enrollment in tertiary education in the billionaire's country.
• gross_primary_education_enrollment_country: Enrollment in primary education in the billionaire's country.
• life_expectancy_country: Life expectancy in the billionaire's country.
• tax_revenue_country_country: Tax revenue in the billionaire's country.
• total_tax_rate_country: Total tax rate in the billionaire's country.
• population_country: Population of the billionaire's country.
• latitude_country: Latitude coordinate of the billionaire's country.
• longitude_country: Longitude coordinate of the billionaire's country.

Potential Use Cases

• Wealth distribution analysis: Explore the distribution of billionaires' wealth across different industries, countries, and regions.
• Demographic analysis: Investigate the age, gender, and birthplace demographics of billionaires.
• Self-made vs. inherited wealth: Analyze the proportion of self-made billionaires and those who inherited their wealth.
• Economic indicators: Study correlations between billionaire wealth and economic indicators such as GDP, CPI, and tax rates.
• Geospatial analysis: Visualize the geographical distribution of billionaires and their wealth on a map.
• Trends over time: Track changes in billionaire demographics and wealth over the years.

If this was helpful, a vote is appreciated 🙂❤️

Business angels dominate early-stage investment in firms, but research on their effects on firms is scarce and limited by sample selection. To address sample selection, we propose using population data and we develop an algorithm for identifying business angel investments in such data. We illustrate this novel approach by applying it to detailed and longitudinal total population data for individuals and firms in Sweden. In our application, we focus on a subset of business angels—active business angels who are themselves successful entrepreneurs with a profitable exit. We then study active business angels’ effects on firm performance, using population data. Employing a quasi-experimental estimator, we find that the business angels invest in firms that already perform above par. There is also a positive effect on subsequent growth compared with control firms. However, contrary to previous research on business angels, we cannot find any impact on firm survival. Overall, the paper underlines the need to address sample selection when studying business angels and suggests using population data for identification.

Discover strategic business opportunities with Success.ai’s LinkedIn Company Data, offering in-depth insights into 70M+ companies and 700M public profiles. Ensure precision targeting with compliant, verified, and regularly updated datasets, all at the best market price.