11 datasets found
  1. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
    Explore at:
    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

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

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  2. f

    Host country of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Host country of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Host country of organization for 86 websites in study.

  3. Distribution of Tumblr.com traffic 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated Nov 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Distribution of Tumblr.com traffic 2024, by country [Dataset]. https://www.statista.com/statistics/261413/distribution-of-tumblr-traffic-by-country/
    Explore at:
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the six months ending March 2024, the United States accounted for over 45 percent of the web visits to Tumblr.com. Ranked second, the United Kingdom accounted for 5.74 percent of traffic to the social networking website, followed by Canada, which accounted for 5.01 percent of the web page online volume.

  4. f

    Summary of results comparing Google Analytics and SimilarWeb for total...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Summary of results comparing Google Analytics and SimilarWeb for total visits, unique visitors, bounce rate, and average session duration. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.

  5. Most Visited Websites In The World

    • cadadda.com
    Updated Jun 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Similarweb (2025). Most Visited Websites In The World [Dataset]. https://cadadda.com/app/about%2010cric/
    Explore at:
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Similarwebhttp://similarweb.com/
    License

    https://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodologyhttps://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodology

    Variables measured
    website traffic, app traffic, website purchase
    Measurement technique
    clickstream, Data Synthesis, Data Modeling
    Description

    Top websites ranking: See the full list of most visited websites in every category and country in the world for free - Click here

  6. C

    Competitor Analysis Evaluation Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Archive Market Research (2025). Competitor Analysis Evaluation Report [Dataset]. https://www.archivemarketresearch.com/reports/competitor-analysis-evaluation-59901
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global market for website analytics and competitor analysis tools is experiencing robust growth, projected to reach $[Estimate based on available data, e.g., $5 billion] in 2025, with a Compound Annual Growth Rate (CAGR) of [Estimate, e.g., 12%] from 2025 to 2033. This expansion is driven by the increasing reliance of businesses, both large enterprises and SMEs, on data-driven decision-making for improved marketing strategies, website optimization, and competitive intelligence. Key trends shaping this market include the rising adoption of AI-powered analytics for deeper insights, the integration of website analytics with other marketing platforms, and the growing demand for comprehensive solutions that cover SEO, PPC, and social media analytics. While the market faces some restraints, such as the complexity of some analytics tools and the increasing cost of premium features, the overall growth trajectory remains positive. The competitive landscape is highly dynamic, with established players like Google, SEMrush, and SimilarWeb dominating the market through their comprehensive offerings and extensive user bases. However, smaller, specialized companies like BuiltWith, SpyFu, and WooRank are carving out niches for themselves by focusing on specific areas of website analytics or offering unique functionalities. The competitive intensity is driving innovation, leading to the development of more user-friendly interfaces, enhanced reporting capabilities, and improved data visualization tools. The market is also witnessing the emergence of new players offering innovative solutions leveraging cutting-edge technologies, promising further disruption and shaping the future of competitor analysis. Regional variations exist, with North America and Europe currently leading the market, but strong growth is expected from Asia-Pacific, particularly from countries like India and China, as digital adoption continues to accelerate.

  7. f

    Comparison of definitions of total visits, unique visitors, bounce rate, and...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Comparison of definitions of total visits, unique visitors, bounce rate, and session duration conceptually and for the two analytics platforms: Google Analytics and SimilarWeb. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Comparison of definitions of total visits, unique visitors, bounce rate, and session duration conceptually and for the two analytics platforms: Google Analytics and SimilarWeb.

  8. f

    Website type for the 86 websites in study.

    • figshare.com
    xls
    Updated Jun 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Website type for the 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Website type for the 86 websites in study.

  9. Industry vertical of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Industry vertical of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Industry vertical of organization for 86 websites in study.

  10. f

    Comparison of user, site, and network-centric approaches to web analytics...

    • plos.figshare.com
    xls
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

    Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study.

  11. w

    Global Ad Intelligence Software Market Research Report: By Software Type...

    • wiseguyreports.com
    Updated Jul 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    wWiseguy Research Consultants Pvt Ltd (2025). Global Ad Intelligence Software Market Research Report: By Software Type (Competitive Analysis Software, Campaign Management Software, Media Analytics Software, Performance Measurement Software), By Deployment Type (Cloud-Based, On-Premises, Hybrid), By End User (Advertisers, Agencies, Market Researchers, Media Owners), By Functionality (Data Collection, Data Analysis, Reporting, Optimization) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/ad-intelligence-software-market
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20232.97(USD Billion)
    MARKET SIZE 20243.37(USD Billion)
    MARKET SIZE 20329.2(USD Billion)
    SEGMENTS COVEREDSoftware Type, Deployment Type, End User, Functionality, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing digital advertising expenditure, Rising demand for real-time analytics, Growing competition among brands, Adoption of AI technologies, Enhanced data privacy regulations
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDBuzzSumo, Amazon, Kantar, SimilarWeb, SpyFu, Ahrefs, Google, Nielsen, SEMrush, Claritas, Twitter, Comscore, Adobe Systems, Moz, Meta Platforms
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIncreased demand for data analytics, Rising focus on personalized advertising, Growth in digital marketing channels, Adoption of AI and machine learning, Expansion into emerging markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 13.37% (2025 - 2032)
  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
Organization logo

Data from: Analysis of the Quantitative Impact of Social Networks General Data.doc

Related Article
Explore at:
docAvailable download formats
Dataset updated
Oct 14, 2022
Dataset provided by
Figsharehttp://figshare.com/
Authors
David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
License

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

Description

General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

Search
Clear search
Close search
Google apps
Main menu