24 datasets found
  1. A web tracking data set of online browsing behavior of 2,148 users

    • zenodo.org
    • explore.openaire.eu
    • +1more
    application/gzip, txt +1
    Updated May 14, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner (2021). A web tracking data set of online browsing behavior of 2,148 users [Dataset]. http://doi.org/10.5281/zenodo.4757574
    Explore at:
    zip, txt, application/gzipAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner
    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 anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.

    We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.

    The data set is analyzed in the following paper:

    • Kulshrestha, J., Oliveira, M., Karacalik, O., Bonnay, D., Wagner, C. "Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data." Proceedings of the International AAAI Conference on Web and Social Media. 2021. https://arxiv.org/abs/2012.15112.

    The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.

    If you use data or code from this repository, please cite the paper above and the Zenodo link.

  2. history.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Semrush (2025). history.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/history.com/overview/
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    history.com is ranked #1907 in US with 6.84M Traffic. Categories: . Learn more about website traffic, market share, and more!

  3. d

    Swash Web Browsing Clickstream Data - 1.5M Worldwide Users - GDPR Compliant

    • datarade.ai
    .csv, .xls
    Updated Jun 27, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Swash (2023). Swash Web Browsing Clickstream Data - 1.5M Worldwide Users - GDPR Compliant [Dataset]. https://datarade.ai/data-products/swash-blockchain-bitcoin-and-web3-enthusiasts-swash
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Jun 27, 2023
    Dataset authored and provided by
    Swash
    Area covered
    India, Jordan, Belarus, Jamaica, Saint Vincent and the Grenadines, Uzbekistan, Liechtenstein, Russian Federation, Latvia, Monaco
    Description

    Unlock the Power of Behavioural Data with GDPR-Compliant Clickstream Insights.

    Swash clickstream data offers a comprehensive and GDPR-compliant dataset sourced from users worldwide, encompassing both desktop and mobile browsing behaviour. Here's an in-depth look at what sets us apart and how our data can benefit your organisation.

    User-Centric Approach: Unlike traditional data collection methods, we take a user-centric approach by rewarding users for the data they willingly provide. This unique methodology ensures transparent data collection practices, encourages user participation, and establishes trust between data providers and consumers.

    Wide Coverage and Varied Categories: Our clickstream data covers diverse categories, including search, shopping, and URL visits. Whether you are interested in understanding user preferences in e-commerce, analysing search behaviour across different industries, or tracking website visits, our data provides a rich and multi-dimensional view of user activities.

    GDPR Compliance and Privacy: We prioritise data privacy and strictly adhere to GDPR guidelines. Our data collection methods are fully compliant, ensuring the protection of user identities and personal information. You can confidently leverage our clickstream data without compromising privacy or facing regulatory challenges.

    Market Intelligence and Consumer Behaviuor: Gain deep insights into market intelligence and consumer behaviour using our clickstream data. Understand trends, preferences, and user behaviour patterns by analysing the comprehensive user-level, time-stamped raw or processed data feed. Uncover valuable information about user journeys, search funnels, and paths to purchase to enhance your marketing strategies and drive business growth.

    High-Frequency Updates and Consistency: We provide high-frequency updates and consistent user participation, offering both historical data and ongoing daily delivery. This ensures you have access to up-to-date insights and a continuous data feed for comprehensive analysis. Our reliable and consistent data empowers you to make accurate and timely decisions.

    Custom Reporting and Analysis: We understand that every organisation has unique requirements. That's why we offer customisable reporting options, allowing you to tailor the analysis and reporting of clickstream data to your specific needs. Whether you need detailed metrics, visualisations, or in-depth analytics, we provide the flexibility to meet your reporting requirements.

    Data Quality and Credibility: We take data quality seriously. Our data sourcing practices are designed to ensure responsible and reliable data collection. We implement rigorous data cleaning, validation, and verification processes, guaranteeing the accuracy and reliability of our clickstream data. You can confidently rely on our data to drive your decision-making processes.

  4. Share of global mobile website traffic 2015-2024

    • statista.com
    Updated Jan 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Share of global mobile website traffic 2015-2024 [Dataset]. https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/
    Explore at:
    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

  5. d

    Click Global Data | Web Traffic Data + Transaction Data | Consumer and B2B...

    • datarade.ai
    .csv
    Updated Mar 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Consumer Edge (2025). Click Global Data | Web Traffic Data + Transaction Data | Consumer and B2B Shopper Insights | 59 Countries, 3-Day Lag, Daily Delivery [Dataset]. https://datarade.ai/data-products/click-global-data-web-traffic-data-transaction-data-con-consumer-edge
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Consumer Edge
    Area covered
    Marshall Islands, Bermuda, Congo, South Africa, Nauru, Finland, El Salvador, Sri Lanka, Montserrat, Bosnia and Herzegovina
    Description

    Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights

    Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.

    Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.

    Use Case: Analyze Year Over Year Growth Rate by Region

    Problem A public investor wants to understand how a company’s year-over-year growth differs by region.

    Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends

    Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

    Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels

    Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

    Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

  6. Data from: Improving the efficacy of web-based educational outreach in...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    csv, txt
    Updated Jun 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta; Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta (2022). Data from: Improving the efficacy of web-based educational outreach in ecology [Dataset]. http://doi.org/10.5061/dryad.94nk8
    Explore at:
    csv, txtAvailable download formats
    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta; Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta
    License

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

    Description

    Scientists are increasingly engaging the web to provide formal and informal science education opportunities. Despite the prolific growth of web-based resources, systematic evaluation and assessment of their efficacy remains limited. We used clickstream analytics, a widely available method for tracking website visitors and their behavior, to evaluate >60,000 visits over three years to an educational website focused on ecology. Visits originating from search engine queries were a small proportion of the traffic, suggesting the need to actively promote websites to drive visitation. However, the number of visits referred to the website per social media post varied depending on the social media platform and the quality of those visits (e.g., time on site and number of pages viewed) was significantly lower than visits originating from other referring websites. In particular, visitors referred to the website through targeted promotion (e.g., inclusion in a website listing classroom teaching resources) had higher quality visits. Once engaged in the site's core content, visitor retention was high; however, visitors rarely used the tutorial resources that serve to explain the site's use. Our results demonstrate that simple changes in website design, content and promotion are likely to increase the number of visitors and their engagement. While there is a growing emphasis on using the web to broaden the impacts of biological research, time and resources remain limited. Clickstream analytics provides an easily accessible, relatively fast and quantitative means by which those engaging in educational outreach can improve upon their efforts.

  7. S

    Digital FootPrint Statistics By Internet Usage, Age Group, Region And Facts...

    • sci-tech-today.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sci-Tech Today (2025). Digital FootPrint Statistics By Internet Usage, Age Group, Region And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/digital-footprint-statistics-updated/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Digital Footprint Statistics: A digital footprint is the trail of information people leave behind when using the internet. It includes everything from social media posts to online searches, websites visited, and emails sent. Some of this data is shared intentionally, like posting on Facebook, while other parts are collected automatically, like tracking cookies from websites.

    A digital footprint can be active, meaning data is shared by choice, or passive, meaning it is collected without you realizing it. It's important to manage your digital footprint because it can affect your privacy, reputation, and even job opportunities in the future. Understanding it helps you stay safe online.

  8. c

    The COVID Tracking Project

    • covidtracking.com
    google sheets
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The COVID Tracking Project [Dataset]. https://covidtracking.com/
    Explore at:
    google sheetsAvailable download formats
    Description

    The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We attempt to include positive and negative results, pending tests, and total people tested for each state or district currently reporting that data.

    Testing is a crucial part of any public health response, and sharing test data is essential to understanding this outbreak. The CDC is currently not publishing complete testing data, so we’re doing our best to collect it from each state and provide it to the public. The information is patchy and inconsistent, so we’re being transparent about what we find and how we handle it—the spreadsheet includes our live comments about changing data and how we’re working with incomplete information.

    From here, you can also learn about our methodology, see who makes this, and find out what information states provide and how we handle it.

  9. amazon.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Semrush (2025). amazon.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/amazon.com/overview/
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    amazon.com is ranked #5 in US with 2.56B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

  10. Total global visitor traffic to Wikipedia.org 2024

    • statista.com
    Updated Nov 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Total global visitor traffic to Wikipedia.org 2024 [Dataset]. https://www.statista.com/statistics/1259907/wikipedia-website-traffic/
    Explore at:
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    Worldwide
    Description

    In March 2024, close to 4.4 billion unique global visitors had visited Wikipedia.org, slightly down from 4.4 billion visitors since August of the same year. Wikipedia is a free online encyclopedia with articles generated by volunteers worldwide. The platform is hosted by the Wikimedia Foundation.

  11. m

    Eye tracking data for website design of Ecotourism related SMEs

    • data.mendeley.com
    Updated Jul 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ioanna Yfantidou (2024). Eye tracking data for website design of Ecotourism related SMEs [Dataset]. http://doi.org/10.17632/jywyhjgm3z.1
    Explore at:
    Dataset updated
    Jul 1, 2024
    Authors
    Ioanna Yfantidou
    License

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

    Description

    The data set includes Time from First Fixation to Click and Click Count data from particpants who viewed a beta-version website that promotes ecotourism in Greece. A Tobii Nano eye tracker was used for the data collection.

  12. Replication Data for "Prevalence of Third-Party Tracking on Abortion Clinic...

    • figshare.com
    txt
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ari B Friedman (2023). Replication Data for "Prevalence of Third-Party Tracking on Abortion Clinic Web Pages" [Dataset]. http://doi.org/10.6084/m9.figshare.21437970.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ari B Friedman
    License

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

    Description

    In this cross-sectional study, we extracted the uniform resource locator (URL) of each National Abortion Federation member facility on May 6, 2022. We visited each unique URL using webXray (Timothy Libert), which detects third-party tracking. For each web page, we recorded data transfers to third-party domains. Transfers typically include a user’s IP (internet protocol) address and the web page being visited. We also recorded the presence of third-party cookies, data stored on a user’s computer that can facilitate tracking across multiple websites.

  13. D

    Enterprise Website Analytics Software Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Enterprise Website Analytics Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-enterprise-website-analytics-software-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Enterprise Website Analytics Software Market Outlook



    The global Enterprise Website Analytics Software market size was valued at approximately USD 3.45 billion in 2023 and is projected to reach about USD 10.48 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.1% during the forecast period. This robust growth can be attributed to the increasing importance of online presence for businesses, the rising adoption of data-driven decision-making processes, and the ever-growing demand for customer insights and behavioral analysis.



    One of the major growth factors for the Enterprise Website Analytics Software market is the increasing emphasis on digital marketing strategies across various industries. As businesses strive to enhance their online presence and digital customer engagement, the need for sophisticated analytics tools to measure website performance becomes imperative. The ability to track and analyze user interactions, conversion rates, and other metrics helps businesses to optimize their websites, enhance user experience, and ultimately drive sales growth.



    Another key driver is the rapid technological advancements in the field of big data and artificial intelligence (AI). These technologies enable the processing of vast amounts of data generated from website visits, providing deeper and more accurate insights into customer behavior. With AI and machine learning algorithms, analytics software can now predict customer preferences and trends, allowing businesses to tailor their strategies more effectively. Additionally, the integration of AI in analytics processes helps in automating complex data analysis, making it accessible even for non-technical users.



    The shift towards e-commerce and online retail has also significantly boosted the demand for enterprise website analytics software. With more consumers shopping online, businesses need advanced tools to understand their customers' online behavior better. Analytics software helps e-commerce companies to monitor site traffic, identify potential issues, and improve user experience, thereby increasing customer satisfaction and loyalty. Furthermore, the COVID-19 pandemic has accelerated digital transformation across various sectors, leading to a surge in demand for analytics solutions.



    The emergence of Advanced Analytics Service Software is revolutionizing the way businesses approach data analysis. By leveraging sophisticated algorithms and machine learning models, these software solutions offer unparalleled insights into complex data sets. This enables organizations to make more informed decisions, optimize their operations, and enhance customer experiences. As businesses increasingly recognize the value of data-driven strategies, the demand for advanced analytics services is expected to grow significantly. These tools not only facilitate real-time data processing but also provide predictive analytics capabilities, allowing companies to anticipate market trends and customer needs with greater accuracy.



    Regionally, North America holds a significant share of the market, driven by the presence of a large number of tech-savvy businesses and high adoption rates of advanced technologies. Europe follows closely, with an increasing number of businesses recognizing the importance of data analytics in staying competitive. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to rapid digitalization and growing internet penetration in countries like China and India.



    Component Analysis



    In the Enterprise Website Analytics Software market, the component segment is bifurcated into Software and Services. The software segment dominates the market due to the frequent demand for advanced analytics tools that offer features such as real-time data tracking, customer journey mapping, and conversion rate optimization. These software solutions are continually evolving to include more sophisticated functionalities, making them indispensable for businesses aiming to leverage data-driven insights.



    The services segment, while smaller in market share compared to software, plays a crucial role in the overall ecosystem. Services include consulting, implementation, training, and support that complement the software solutions. Many enterprises, particularly those lacking in-house technical expertise, rely on these services to effectively deploy and utilize analytics software. The demand for managed ser

  14. Missile Tracking Systems Market - A Global and Regional Analysis

    • bisresearch.com
    csv, pdf
    Updated Aug 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bisresearch (2025). Missile Tracking Systems Market - A Global and Regional Analysis [Dataset]. https://bisresearch.com/industry-report/missile-tracking-systems-market.html
    Explore at:
    pdf, csvAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Bisresearch
    License

    https://bisresearch.com/privacy-policy-cookie-restriction-modehttps://bisresearch.com/privacy-policy-cookie-restriction-mode

    Time period covered
    2023 - 2033
    Area covered
    Worldwide
    Description

    The global missile tracking systems market is projected to reach $117.50 billion by 2033 from $67.48 billion in 2022, growing at a CAGR of 5.11% during the forecast period 2023-2033.

  15. Surveillance activities done by employers in the U.S. 2023

    • statista.com
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Surveillance activities done by employers in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1251971/employer-surveillance-activities-worldwide/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    According to ** percent of the employers surveyed, records of websites visited was the most common surveillance activity within American companies in 2023. Other employer surveillance activities were app usage, time-tracking, and real-time screen monitoring.

  16. i

    BARRY-1 / 58338

    • orbit.ing-now.com
    Updated Dec 24, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Orbiting Now (2023). BARRY-1 / 58338 [Dataset]. https://orbit.ing-now.com/satellite/58338/2023-174cl/barry-1/
    Explore at:
    Dataset updated
    Dec 24, 2023
    Dataset authored and provided by
    Orbiting Now
    License

    Attribution 2.0 (CC BY 2.0)https://creativecommons.org/licenses/by/2.0/
    License information was derived automatically

    Time period covered
    Aug 12, 2025
    Description

    Realtime Earth Satellite object tracking and orbit data for BARRY-1. NORAD Identifier: 58338.

  17. Monitor of Engagement with the Natural Environment: 2015 to 2016

    • gov.uk
    • tnaqa.mirrorweb.com
    Updated May 16, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Natural England (2017). Monitor of Engagement with the Natural Environment: 2015 to 2016 [Dataset]. https://www.gov.uk/government/statistics/monitor-of-engagement-with-the-natural-environment-2015-to-2016
    Explore at:
    Dataset updated
    May 16, 2017
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Natural England
    Description

    The Monitor of Engagement with the Natural Environment provides trend data on how people use the natural environment in England.

    15 May 2017: Published correction to data in the headline report

    Corrections to Table 2.1 on page 9 - Volume of visitors in 2014/15

    Related reports

    The MENE pilot study on visits to the natural environment by children.

    The MENE thematic report for 2015 to 2016 will be published in Natural England’s http://publications.naturalengland.org.uk/category/47018" class="govuk-link">access to evidence catalogue (date to be confirmed).

  18. e

    Evaluating Website Quality - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Sep 10, 2013
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2013). Evaluating Website Quality - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/de050c84-6c90-552f-9c59-af1de6fb01ad
    Explore at:
    Dataset updated
    Sep 10, 2013
    Description

    Dit bestand bevat de data die zijn verzameld in het kader van het proefschrift van Sanne Elling: ‘Evaluating website quality: Five studies on user-focused evaluation methods’.Summary:The benefits of evaluating websites among potential users are widely acknowledged. There are several methods that can be used to evaluate the websites’ quality from a users’ perspective. In current practice, many evaluations are executed with inadequate methods that lack research-based validation. This thesis aims to gain more insight into evaluation methodology and to contribute to a higher standard of website evaluation in practice. A first way to evaluate website quality is measuring the users’ opinions. This is often done with questionnaires, which gather opinions in a cheap, fast, and easy way. However, many questionnaires seem to miss a solid statistical basis and a justification of the choice of quality dimensions and questions. We therefore developed the ‘Website Evaluation Questionnaire’ (WEQ), which was specifically designed for the evaluation of governmental websites. In a study in online and laboratory settings the WEQ has proved to be a valid and reliable instrument. A way to gather more specific user opinions, is inviting participants to review website pages. Participants provide their comments by clicking on a feedback button, marking a problematic segment, and formulating their feedback.There has been debate about the extent to which users are able to provide relevant feedback. The results of our studies showed that participants were able to provide useful feedback. They signalled many relevant problems that indeed were experienced by users who needed to find information on the website. Website quality can also be measured during participants’ task performance. A frequently used method is the concurrent think-aloud method (CTA), which involves participants who verbalize their thoughts while performing tasks. There have been doubts on the usefulness and exhaustiveness of participants’ verbalizations. Therefore, we have combined CTA and eye tracking in order to examine the cognitive processes that participants do and do not verbalize. The results showed that the participants’ verbalizations provided substantial information in addition to the directly observable user problems. There was also a rather high percentage of silences (27%) during which interesting observations could be made about the users’ processes and obstacles. A thorough evaluation should therefore combine verbalizations and (eye tracking) observations. In a retrospective think-aloud (RTA) evaluation participants verbalize their thoughts afterwards while watching a recording of their performance. A problem with RTA is that participants not always remember the thoughts they had during their task performance. We therefore complemented the dynamic screen replay of their actions (pages visited and mouse movements) with a dynamic gaze replay of the participants’ eye movements.Contrary to our expectations, no differences were found between the two conditions. It is not possible to draw conclusions on the single best method. The value of a specific method is strongly influenced by the goals and context of an evaluation. Also, the outcomes of the evaluation not only depend on the method, but also on other choices during the evaluation, such as participant selection, tasks, and the subsequent analysis.

  19. Companies client data usage in France 2019

    • statista.com
    Updated Jul 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Companies client data usage in France 2019 [Dataset]. https://www.statista.com/statistics/1087955/client-data-usage-french-companies/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2019 - Aug 2019
    Area covered
    France
    Description

    The statistic represents to which extent French companies store and use their client data in 2019. The study compared data driven companies who already store their client information and use their data as a mean of transaction growth and non-data driven companies who do not yet orient themselves around client data. From the non-data driven companies, none of them tracked their users responsiveness to e-mail campaigns or other forms of advertisements and webpage visits. Of the data driven companies, 100 percent tracked their client contact information as opposed to ** percent from the non-data driven companies. Client orders were tracked by ** percent of the data driven companies compared to ** percent of the non-data driven ones. The details of the purchased products played to ** percent an important role for data driven companies who also fully tracked their website visits.

  20. fanvue.com Website Traffic, Ranking, Analytics [June 2025]

    • semrush.com
    Updated Jul 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Semrush (2025). fanvue.com Website Traffic, Ranking, Analytics [June 2025] [Dataset]. https://www.semrush.com/website/fanvue.com/overview/
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Jul 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    fanvue.com is ranked #4681 in US with 9.1M Traffic. Categories: . Learn more about website traffic, market share, and more!

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner (2021). A web tracking data set of online browsing behavior of 2,148 users [Dataset]. http://doi.org/10.5281/zenodo.4757574
Organization logo

A web tracking data set of online browsing behavior of 2,148 users

Explore at:
zip, txt, application/gzipAvailable download formats
Dataset updated
May 14, 2021
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner
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 anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.

We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.

The data set is analyzed in the following paper:

  • Kulshrestha, J., Oliveira, M., Karacalik, O., Bonnay, D., Wagner, C. "Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data." Proceedings of the International AAAI Conference on Web and Social Media. 2021. https://arxiv.org/abs/2012.15112.

The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.

If you use data or code from this repository, please cite the paper above and the Zenodo link.

Search
Clear search
Close search
Google apps
Main menu