14 datasets found
  1. Types of personal data consumers would be most willing to sell to companies...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Types of personal data consumers would be most willing to sell to companies UK 2020 [Dataset]. https://www.statista.com/statistics/1188693/data-uk-users-would-sell/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Although a majority of internet users aged between 18 and 75 years in the United Kingdom (UK) are still skeptical when it comes to personal data being collected by companies, a small share (** percent) would be willing to share this data in return for financial compensation. These types of data mainly included purchase history and location data, while a slightly smaller percentage stated they were willing to sell their browsing history and online media consumption to companies.

  2. Online Sales Dataset - Popular Marketplace Data

    • kaggle.com
    Updated May 25, 2024
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    ShreyanshVerma27 (2024). Online Sales Dataset - Popular Marketplace Data [Dataset]. https://www.kaggle.com/datasets/shreyanshverma27/online-sales-dataset-popular-marketplace-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ShreyanshVerma27
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a comprehensive overview of online sales transactions across different product categories. Each row represents a single transaction with detailed information such as the order ID, date, category, product name, quantity sold, unit price, total price, region, and payment method.

    Columns:

    • Order ID: Unique identifier for each sales order.
    • Date:Date of the sales transaction.
    • Category:Broad category of the product sold (e.g., Electronics, Home Appliances, Clothing, Books, Beauty Products, Sports).
    • Product Name:Specific name or model of the product sold.
    • Quantity:Number of units of the product sold in the transaction.
    • Unit Price:Price of one unit of the product.
    • Total Price: Total revenue generated from the sales transaction (Quantity * Unit Price).
    • Region:Geographic region where the transaction occurred (e.g., North America, Europe, Asia).
    • Payment Method: Method used for payment (e.g., Credit Card, PayPal, Debit Card).

    Insights:

    • 1. Analyze sales trends over time to identify seasonal patterns or growth opportunities.
    • 2. Explore the popularity of different product categories across regions.
    • 3. Investigate the impact of payment methods on sales volume or revenue.
    • 4. Identify top-selling products within each category to optimize inventory and marketing strategies.
    • 5. Evaluate the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.
  3. EU Countries with the Highest Share of Enterprises B2C Selling via a Website...

    • reportlinker.com
    Updated Apr 11, 2024
    + more versions
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    ReportLinker (2024). EU Countries with the Highest Share of Enterprises B2C Selling via a Website or Apps, 2016 [Dataset]. https://www.reportlinker.com/dataset/69c03cfa17a9683fe13149a2b0c781ebc731d35e
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    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    European Union
    Description

    EU Countries with the Highest Share of Enterprises B2C Selling via a Website or Apps, 2016 Discover more data with ReportLinker!

  4. Business Data Ghana / Company B2B Data Ghana ( Full Coverage)

    • datarade.ai
    Updated Sep 26, 2021
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    Techsalerator (2021). Business Data Ghana / Company B2B Data Ghana ( Full Coverage) [Dataset]. https://datarade.ai/data-products/34-000-companies-in-ghana-full-coverage-techsalerator
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 26, 2021
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Ghana
    Description

    With 34,000 Businesses in Ghana , Techsalerator has access to the highest B2B count of Data in the country.

    Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

  5. e

    Payment methods when selling via websites, by enterprise activity (NACE Rev....

    • data.europa.eu
    html, unknown
    Updated May 13, 2022
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    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE (2022). Payment methods when selling via websites, by enterprise activity (NACE Rev. 2), Slovenia, 2009 [Dataset]. https://data.europa.eu/data/datasets/surs2965806s
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    unknown, htmlAvailable download formats
    Dataset updated
    May 13, 2022
    Dataset authored and provided by
    VLADA REPUBLIKE SLOVENIJE STATISTIČNI URAD REPUBLIKE SLOVENIJE
    Area covered
    Slovenia
    Description

    This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Payment methods when selling via websites, by business activity (NACE Rev. 2), Slovenia, 2009”.

    Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

  6. UK consumers not willing to sell their personal data 2020, by age group

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). UK consumers not willing to sell their personal data 2020, by age group [Dataset]. https://www.statista.com/statistics/1188378/consumers-unwilling-to-share-data-for-money-uk/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    A survey conducted online in the United Kingdom (UK) in 2020 revealed that over ** percent of 18 to 24 year olds would be willing to share their personal data with companies in return for payment. Conversely, only slightly more than ** percent of those over 65 years of age said they would do the same. As a whole, ** percent of UK respondents were against the idea of sharing personal data for financial compensation.

  7. s

    Enterprises selling over internet and other web-based systems 2012-2013 -...

    • store.smartdatahub.io
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    Enterprises selling over internet and other web-based systems 2012-2013 - Datasets - This service has been deprecated - please visit https://www.smartdatahub.io/ to access data. See the About page for details. // [Dataset]. https://store.smartdatahub.io/dataset/is_statistics_iceland_enterprises_selling_over_internet_and_other_web_based_systems_2012_2013
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    Description

    Enterprises selling over internet and other web-based systems 2012-2013

  8. e

    Earnest Analytics Home Builder Web Data

    • earnestanalytics.com
    Updated Apr 18, 2023
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    Earnest Analytics (2023). Earnest Analytics Home Builder Web Data [Dataset]. https://www.earnestanalytics.com/datasets/homebuilders
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    Dataset updated
    Apr 18, 2023
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    Predict revenue surprises, monitor selling price, track net order flow, and quantify market share by geography and community. Web Homebuilders data is sourced from housing sales, pricing, and availability detail for US homebuilders.

  9. Database & Directory Publishing in Canada - Market Research Report...

    • ibisworld.com
    Updated Aug 4, 2025
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    IBISWorld (2025). Database & Directory Publishing in Canada - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/canada/industry/database-directory-publishing/1234/
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    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Canada
    Description

    Database and directory publishers in Canada have continued to undergo significant changes over the past five years, primarily driven by the migration from print to digital formats. As advertisers increasingly direct their budgets toward media platforms that mirror evolving consumer preferences, demand for traditional print advertisements, a key historical revenue and profit generator for the industry, has sharply declined. The widespread adoption of smartphones and improved internet connectivity continues to accelerate consumer access to online directories and has further diminished the relevance of print products, contributing to a persistent contraction in industry revenue. From 2020 to 2025, industry revenue has declined at an annualized rate of 3.1%, reaching an estimated $1.7 billion in 2025, which includes a 1.5% contraction during the year alone. The industry, once dominated by large and well-financed telecommunications companies, has experienced increased divestiture and restructuring activity as companies spin off or sell underperforming directory divisions. Though Thryv Inc. entered the Canadian market in 2022, this trend has largely continued, with major companies acquiring smaller or struggling businesses to broaden their offerings into adjacent markets, such as data analytics and database management. Moving forward, the industry will continue to face declines as digital advertising continues to eclipse print media. While overall advertising expenditure is forecast to rise, investment in print advertisements is expected to diminish significantly. Over the next five years, publishers will continue to invest in and prioritize digital platforms to compete with substitutes. However, the emergence of AI is expected to continue throughout the market, which will ultimately lead to less demand for industry services, on average. As a result, industry revenue is forecast to fall at an annualized rate of 1.8% to reach $1.6 billion by 2030, reflecting the ongoing obsolescence of industry databases, despite its push for digital offerings.

  10. Instagram coffee page in US

    • kaggle.com
    Updated Jul 15, 2021
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    Mohsen jalali (2021). Instagram coffee page in US [Dataset]. https://www.kaggle.com/mohsenjalali/instagram-coffee-page-in-us
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 15, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mohsen jalali
    Description

    What is this data set about?

    In this data set, we crawl followers list of novocoffee and heartroasters pages that work on online sell coffee.

    We prepare this data set for learning purposes and we want to answer this question: If we want to start an online shop on Instagram and sell coffee, who are our customers?

    We crawl part of followers of novocoffee and heartroasters pages.

  11. T

    Webjet | WEB - Selling And Administration Expenses

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). Webjet | WEB - Selling And Administration Expenses [Dataset]. https://tradingeconomics.com/web:au:selling-and-administration-expenses
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Sep 2, 2025
    Area covered
    Australia
    Description

    Webjet reported AUD25.75M in Selling and Administration Expenses for its fiscal semester ending in March of 2025. Data for Webjet | WEB - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last September in 2025.

  12. w

    Dataset of books called Screenwriting on the internet : researching,...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Screenwriting on the internet : researching, writing, and selling your script on the Web [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Screenwriting+on+the+internet+%3A+researching%2C+writing%2C+and+selling+your+script+on+the+Web
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 1 row and is filtered where the book is Screenwriting on the internet : researching, writing, and selling your script on the Web. It features 7 columns including author, publication date, language, and book publisher.

  13. B

    Buy and Sell Online Business Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 28, 2025
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    Data Insights Market (2025). Buy and Sell Online Business Report [Dataset]. https://www.datainsightsmarket.com/reports/buy-and-sell-online-business-1963366
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online business-for-sale market is experiencing robust growth, driven by several key factors. The increasing ease of setting up and managing online businesses, coupled with the expanding digital economy, has created a surge in entrepreneurs seeking to buy and sell established ventures. This market benefits from a lower barrier to entry compared to traditional brick-and-mortar businesses, allowing for greater accessibility and attracting a wider range of buyers and sellers. Furthermore, the availability of platforms like Empire Flippers, Flippa, and FE International has streamlined the process, fostering trust and transparency in transactions. While precise market sizing data is unavailable, considering the numerous platforms and reported transactions, a reasonable estimation places the 2025 market value at approximately $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% between 2019 and 2033. This growth is projected to continue, fueled by factors such as the rise of e-commerce, the increasing prevalence of digital marketing, and the diversification of online business models.
    However, the market also faces challenges. Competition among platforms and brokers is intense, requiring businesses to differentiate themselves through specialized services or niche markets. Economic downturns can also impact buyer confidence, potentially slowing transaction volumes. Furthermore, accurate valuation of online businesses remains a complex issue, requiring both technical expertise and an understanding of intangible assets. Effective risk management and due diligence are therefore crucial for all participants in this dynamic and rapidly evolving market. Despite these challenges, the long-term outlook remains positive, driven by the continued expansion of the digital economy and the growing demand for readily available, profitable online businesses. This robust expansion is expected to continue throughout the projected period, with the market capitalization anticipated to significantly increase by 2033.

  14. f

    Compliance with proposed requirements for Indian websites, n (%).

    • plos.figshare.com
    xls
    Updated Feb 3, 2025
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    Gautam Satheesh; Sammy Masibo; Sasi Kumar Tiruttani; Irene Khayoni; Benjamin Palafox; Devaki Nambiar; Jaison Joseph; Emmanuel Kweyu; Abdul Salam; Francis Wafula; Catherine Goodman (2025). Compliance with proposed requirements for Indian websites, n (%). [Dataset]. http://doi.org/10.1371/journal.pgph.0004202.t004
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    xlsAvailable download formats
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Gautam Satheesh; Sammy Masibo; Sasi Kumar Tiruttani; Irene Khayoni; Benjamin Palafox; Devaki Nambiar; Jaison Joseph; Emmanuel Kweyu; Abdul Salam; Francis Wafula; Catherine Goodman
    License

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

    Area covered
    India
    Description

    Compliance with proposed requirements for Indian websites, n (%).

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Types of personal data consumers would be most willing to sell to companies UK 2020 [Dataset]. https://www.statista.com/statistics/1188693/data-uk-users-would-sell/
Organization logo

Types of personal data consumers would be most willing to sell to companies UK 2020

Explore at:
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United Kingdom
Description

Although a majority of internet users aged between 18 and 75 years in the United Kingdom (UK) are still skeptical when it comes to personal data being collected by companies, a small share (** percent) would be willing to share this data in return for financial compensation. These types of data mainly included purchase history and location data, while a slightly smaller percentage stated they were willing to sell their browsing history and online media consumption to companies.

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