100+ datasets found
  1. Top brands on social media worldwide 2019-2020, by social rank

    • statista.com
    • buyumeacoffee.com
    • +1more
    Updated Feb 15, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2019). Top brands on social media worldwide 2019-2020, by social rank [Dataset]. https://www.statista.com/topics/2057/brands-on-social-media/
    Explore at:
    Dataset updated
    Feb 15, 2019
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Between the second half of 2019 and the first half of 2020, the loved brand on social media was Instagram. The social media platform had accumulated a total of 108.7 million "love" mentions across 104.7 million posts, generating 722 billion potential impressions and over two billion total engagements during the measured time frame. Second-ranked Amazon only generated 27.3 million "love" mentions.

  2. Most valuable media & entertainment brands worldwide 2024

    • statista.com
    • es.statista.com
    • +5more
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Julia Faria, Most valuable media & entertainment brands worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Julia Faria
    Description

    In 2024, Google ranked as the most valuable media and entertainment brand worldwide, with a brand value of 683 billion U.S. dollars. Facebook ranked second, valued at around 167 billion dollars. Part of the Tencent Group, WeChat and v.qq.com (Tencent Video) had a brand value of 56 billion and 17.5 billion dollars, respectively.

  3. D

    Replication Data for: Brand advertising competition across economic cycles

    • dataverse.nl
    Updated Mar 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Peren Özturan; Peren Özturan; Barbara Deleersnyder; Barbara Deleersnyder; Ayşegül Özsomer; Ayşegül Özsomer (2025). Replication Data for: Brand advertising competition across economic cycles [Dataset]. http://doi.org/10.34894/P2SA48
    Explore at:
    application/x-sas-syntax(60835), pdf(79849), pdf(1018556), txt(27081), pdf(699067), txt(60835), application/x-sas-syntax(27081)Available download formats
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    DataverseNL
    Authors
    Peren Özturan; Peren Özturan; Barbara Deleersnyder; Barbara Deleersnyder; Ayşegül Özsomer; Ayşegül Özsomer
    License

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

    Description

    This study empirically investigates how brands’ responses to competitors’ advertising actions change over the business cycle. Marketing data was made available by Prometheus, a brand performance tracker developed by Kantar Worldpanel. They cover marketing activity of 153 brands (including 15 private labels) manufactured by 27 different suppliers in six categories (bath gel, bottled water, dairy, laundry detergent, milk, and soft drink) sold in the Spanish CPG market. The data are available for 130 four-week periods from 2001 to 2010. Apart from advertising and promotion variables, for each brand, the dataset includes a survey-based metric on brand awareness over time, expressed as the percentage of respondents who indicated they know the brand, and data on brand price, or the price paid per unit (e.g., kilos, liters) by consumers in each period. This data is supplemented with data on the economic activity in Spain from the Organisation for Economic Co-operation and Development (OECD) - composite leading indicators available at: https://www.oecd.org/en/data/datasets/oecd-composite-leading-indicators-clis.html. This replication package contains scripts to replicate the results of a study that quantifies the advertising activity of the brands in Spain. The proprietary brand data from Kantar Worldpanel are not included in the data package because the company does not allow this.

  4. Average weekly Instagram brand posts 2023, by vertical

    • statista.com
    • buyumeacoffee.com
    • +1more
    Updated Apr 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average weekly Instagram brand posts 2023, by vertical [Dataset]. https://www.statista.com/statistics/873935/daily-instagram-brand-posts-by-vertical/
    Explore at:
    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the median weekly brand posts on social media app Instagram was 4.7 posts. Overall, sports teams added an average of 18 posts weekly to the social network, while media brands generated an average of 12.2 posts. Additionally, retail brands posted on average 5.7 times per week, whilst fashion brands posted 6.1 times per week.

  5. U

    User Generated Content Statistics

    • searchlogistics.com
    Updated Feb 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Search Logistics (2025). User Generated Content Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/user-generated-content-statistics/
    Explore at:
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    These user generated content statistics will show you why this marketing technique is so powerful and how businesses benefit from it.

  6. C

    Czech Republic CZ: Start-Up Procedures to Register a Business: Female

    • ceicdata.com
    Updated Feb 26, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Czech Republic CZ: Start-Up Procedures to Register a Business: Female [Dataset]. https://www.ceicdata.com/en/czech-republic/company-statistics
    Explore at:
    Dataset updated
    Feb 26, 2018
    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
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Czechia
    Variables measured
    Enterprises Statistics
    Description

    CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

  7. IBM: brand value 2006-2025

    • statista.com
    • tokrwards.com
    Updated Sep 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). IBM: brand value 2006-2025 [Dataset]. https://www.statista.com/statistics/326055/ibm-brand-value/
    Explore at:
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2025, the brand value of The International Business Machines Corporation, known as IBM, amounted to approximately *** billion U.S. dollars. IBM has seen quite a few ups and downs in its global brand value since 2012. The company partnered with Microsoft for its Operating System in 1980 and, before peaking in 2025, reached its highest brand value in 2012 at *** billion dollars. IBM's ad spend In 2024, IBM's global promotional and advertising expenditure reached 1.17 billion dollars. That was the fifth consecutive decrease, with the value amounting to less than two thirds of the ************ marketing budget recorded in 2019, before the pandemic. That probably follows IBM's sharp decline in revenue in 2020. The 2024 result amounted to little more than half of the holding's 2011 global revenues. IBM in the ad market The company also operates within the marketing industry. Its subsidiary IBM iX – self-described as a mix of consultancy, digital agency, design studio, and tech firm – ranked ninth among the world's top 10 ad agency groups by revenue in 2023. For comparison, iX's result that year amounted to little more than one-third of WPP's, the sector's consolidated global leader.

  8. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Dominican Republic, Suriname, Antigua and Barbuda, Iceland, Georgia, Montserrat, Guam, United Kingdom, Korea (Democratic People's Republic of), Togo
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  9. o

    Canadian Brand Classification Statistics

    • originselect.com
    Updated Sep 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OriginSelect (2025). Canadian Brand Classification Statistics [Dataset]. https://www.originselect.com/country/canada/brands
    Explore at:
    Dataset updated
    Sep 18, 2025
    Dataset authored and provided by
    OriginSelect
    Area covered
    Canada
    Description

    Statistical breakdown of Canadian brands by classification type

  10. P

    Poland PL: Value Lost Due to Electrical Outages: % of Sales for Affected...

    • ceicdata.com
    Updated Jul 13, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Poland PL: Value Lost Due to Electrical Outages: % of Sales for Affected Firms [Dataset]. https://www.ceicdata.com/en/poland/company-statistics
    Explore at:
    Dataset updated
    Jul 13, 2018
    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
    Dec 1, 2009 - Dec 1, 2013
    Area covered
    Poland
    Variables measured
    Enterprises Statistics
    Description

    PL: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data was reported at 2.800 % in 2013. This records an increase from the previous number of 1.900 % for 2009. PL: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data is updated yearly, averaging 2.350 % from Dec 2009 (Median) to 2013, with 2 observations. The data reached an all-time high of 2.800 % in 2013 and a record low of 1.900 % in 2009. PL: Value Lost Due to Electrical Outages: % of Sales for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Poland – Table PL.World Bank: Company Statistics. Average losses due to electrical outages, as percentage of total annual sales. The value represents average losses for all firms which reported outages (please see indicator IC.ELC.OUTG.ZS).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;

  11. U.S. spirits' dollar sales growth 2019, by brand

    • tokrwards.com
    • statista.com
    Updated Jan 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). U.S. spirits' dollar sales growth 2019, by brand [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F2119%2Fspirits-brands-statistics-and-facts%2F%23D%2FIbH0Phabzf84KQxRXLgxTyDkFTtCs%3D
    Explore at:
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    This statistic depicts the change in dollar sales of spirits brands in the United States in 2019 compared to the previous sales year. U.S. dollar sales of Jack Daniel's whiskey increased by about 3.1 percent from the previous year.

  12. d

    B2B Contact Data Scraped from Company Website | B2B Email Data, Phone...

    • datarade.ai
    .json, .csv
    Updated Apr 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OpenWeb Ninja (2024). B2B Contact Data Scraped from Company Website | B2B Email Data, Phone Numbers Data, Social Profile Links | Real-Time API [Dataset]. https://datarade.ai/data-products/openweb-ninja-scrape-company-website-for-b2b-contact-data-openweb-ninja
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Apr 27, 2024
    Dataset authored and provided by
    OpenWeb Ninja
    Area covered
    Germany, Libya, Belarus, Korea (Democratic People's Republic of), Morocco, Bouvet Island, Cayman Islands, Iran (Islamic Republic of), South Sudan, France
    Description

    OpenWeb Ninja’s Website Contacts Scraper API provides real-time access to B2B contact data directly from company websites and related public sources. The API delivers clean, structured results including B2B email data, phone number data, and social profile links, making it simple to enrich leads and build accurate company contact lists at scale.

    What's included: - Emails & Phone Numbers: extract business emails and phone contacts from a website domain. - Social Profile Links: capture company accounts on LinkedIn, Facebook, Instagram, TikTok, Twitter/X, YouTube, GitHub, and Pinterest. - Domain Search: input a company website domain and get all available contact details. - Company Name Lookup: find a company’s website domain by name, then retrieve its contact data. - Comprehensive Coverage: scrape across all accessible website pages for maximum data capture.

    Coverage & Scale: - 1,000+ emails and phone numbers per company website supported. - 8+ major social networks covered. - Real-time REST API for fast, reliable delivery.

    Use cases: - B2B contact enrichment and CRM updates. - Targeted email marketing campaigns. - Sales prospecting and lead generation. - Digital ads audience targeting. - Marketing and sales intelligence.

    With OpenWeb Ninja’s Website Contacts Scraper API, you get structured B2B email data, phone numbers, and social profiles straight from company websites - always delivered in real time via a fast and reliable API.

  13. Average weekly Facebook brand posts 2024, by vertical

    • statista.com
    • tokrwards.com
    • +1more
    Updated Apr 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Average weekly Facebook brand posts 2024, by vertical [Dataset]. https://www.statista.com/statistics/795283/daily-facebook-brand-posts-by-vertical/
    Explore at:
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the average number of weekly brand posts on Facebook was 4.19 across all examined verticals. The leading media brands produced an average of 61.9 posts on their social network every week. In contrast, food and beverage brands generated an average of 1.9 posts weekly, the lowest among all verticals. Additionally, whilst Influencers posted fewer than the average number of posts per week, they generated the high levels of engagement, as did Higher Ed industries.

  14. L

    Lebanon LB: Time Required to Register Property

    • ceicdata.com
    Updated Jun 7, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Lebanon LB: Time Required to Register Property [Dataset]. https://www.ceicdata.com/en/lebanon/company-statistics
    Explore at:
    Dataset updated
    Jun 7, 2018
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Lebanon
    Variables measured
    Enterprises Statistics
    Description

    LB: Time Required to Register Property data was reported at 34.000 Day in 2017. This stayed constant from the previous number of 34.000 Day for 2016. LB: Time Required to Register Property data is updated yearly, averaging 25.000 Day from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 34.000 Day in 2017 and a record low of 25.000 Day in 2014. LB: Time Required to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lebanon – Table LB.World Bank: Company Statistics. Time required to register property is the number of calendar days needed for businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  15. U

    United Arab Emirates AE: Time to Resolve Insolvency

    • ceicdata.com
    Updated Aug 18, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). United Arab Emirates AE: Time to Resolve Insolvency [Dataset]. https://www.ceicdata.com/en/united-arab-emirates/company-statistics
    Explore at:
    Dataset updated
    Aug 18, 2018
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United Arab Emirates
    Variables measured
    Enterprises Statistics
    Description

    AE: Time to Resolve Insolvency data was reported at 3.200 Year in 2017. This stayed constant from the previous number of 3.200 Year for 2016. AE: Time to Resolve Insolvency data is updated yearly, averaging 3.200 Year from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 3.200 Year in 2017 and a record low of 3.200 Year in 2017. AE: Time to Resolve Insolvency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Company Statistics. Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  16. s

    Brand Import Data India – Buyers & Importers List

    • seair.co.in
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim, Brand Import Data India – Buyers & Importers List [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  17. Political brand hate data

    • figshare.com
    bin
    Updated Aug 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MOHAMED ASSOUD (2023). Political brand hate data [Dataset]. http://doi.org/10.6084/m9.figshare.23896854.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 6, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    MOHAMED ASSOUD
    License

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

    Description

    Data related to survey made to achieve researcher questions

  18. p

    First Locations Data for United States

    • poidata.io
    csv, json
    Updated Oct 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). First Locations Data for United States [Dataset]. https://poidata.io/brand-report/first/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 18, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 10 verified First locations in United States with complete contact information, ratings, reviews, and location data.

  19. A

    Argentina AR: Procedures to Register Property

    • ceicdata.com
    Updated Feb 8, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Argentina AR: Procedures to Register Property [Dataset]. https://www.ceicdata.com/en/argentina/company-statistics
    Explore at:
    Dataset updated
    Feb 8, 2018
    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
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Argentina
    Variables measured
    Enterprises Statistics
    Description

    AR: Procedures to Register Property data was reported at 7.000 Number in 2019. This stayed constant from the previous number of 7.000 Number for 2018. AR: Procedures to Register Property data is updated yearly, averaging 7.000 Number from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 7.000 Number in 2019 and a record low of 5.000 Number in 2008. AR: Procedures to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Company Statistics. Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

  20. p

    New to You Locations Data for United States

    • poidata.io
    csv, json
    Updated Sep 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). New to You Locations Data for United States [Dataset]. https://poidata.io/brand-report/new-to-you/united-states
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 34 verified New to You locations in United States with complete contact information, ratings, reviews, and location data.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Stacy Jo Dixon (2019). Top brands on social media worldwide 2019-2020, by social rank [Dataset]. https://www.statista.com/topics/2057/brands-on-social-media/
Organization logo

Top brands on social media worldwide 2019-2020, by social rank

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 15, 2019
Dataset provided by
Statistahttp://statista.com/
Authors
Stacy Jo Dixon
Description

Between the second half of 2019 and the first half of 2020, the loved brand on social media was Instagram. The social media platform had accumulated a total of 108.7 million "love" mentions across 104.7 million posts, generating 722 billion potential impressions and over two billion total engagements during the measured time frame. Second-ranked Amazon only generated 27.3 million "love" mentions.

Search
Clear search
Close search
Google apps
Main menu