9 datasets found
  1. e

    similarweb.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). similarweb.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/similarweb.com
    Explore at:
    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Online Services Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for similarweb.com as of May 2025

  2. Leading websites worldwide 2024, by monthly visits

    • statista.com
    • ai-chatbox.pro
    • +5more
    Updated Mar 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading websites worldwide 2024, by monthly visits [Dataset]. https://www.statista.com/statistics/1201880/most-visited-websites-worldwide/
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Worldwide
    Description

    In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

  3. 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

  4. Most Visited Fashion and Apparel Websites

    • tunnel.eswayer.com
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Similarweb (2025). Most Visited Fashion and Apparel Websites [Dataset]. https://www.tunnel.eswayer.com/index.php?url=aHR0cHM6Ly93d3cuc2ltaWxhcndlYi5jb20vdG9wLXdlYnNpdGVzL2xpZmVzdHlsZS9mYXNoaW9uLWFuZC1hcHBhcmVsLw==
    Explore at:
    Dataset updated
    Jul 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

    The complete Fashion and Apparel websites ranking list: Click here for free access to the top Fashion and Apparel websites in the world, ranked by traffic and engagement

  5. A

    ‘Popular Website Traffic Over Time ’ analyzed by Analyst-2

    • analyst-2.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Popular Website Traffic Over Time ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-popular-website-traffic-over-time-62e4/62549059/?iid=003-357&v=presentation
    Explore at:
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Popular Website Traffic Over Time ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/popular-website-traffice on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    Background

    Have you every been in a conversation and the question comes up, who uses Bing? This question comes up occasionally because people wonder if these sites have any views. For this research study, we are going to be exploring popular website traffic for many popular websites.

    Methodology

    The data collected originates from SimilarWeb.com.

    Source

    For the analysis and study, go to The Concept Center

    This dataset was created by Chase Willden and contains around 0 samples along with 1/1/2017, Social Media, technical information and other features such as: - 12/1/2016 - 3/1/2017 - and more.

    How to use this dataset

    • Analyze 11/1/2016 in relation to 2/1/2017
    • Study the influence of 4/1/2017 on 1/1/2017
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Chase Willden

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  6. Most visited price comparison websites in Hungary 2021, by traffic share

    • statista.com
    Updated Apr 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Most visited price comparison websites in Hungary 2021, by traffic share [Dataset]. https://www.statista.com/statistics/1312875/hungary-traffic-share-of-the-most-popular-price-comparison-websites/
    Explore at:
    Dataset updated
    Apr 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Hungary
    Description

    Árukereső was the most popular price comparison portal in Hungary in 2021, based on the traffic share measured by SimilarWeb. Árgép was the second most visited price comparison site over the same time period.

  7. Leading online dating websites in the Netherlands in 2017

    • statista.com
    Updated Feb 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stacy Jo Dixon (2024). Leading online dating websites in the Netherlands in 2017 [Dataset]. https://www.statista.com/topics/4764/online-dating-in-the-netherlands/
    Explore at:
    Dataset updated
    Feb 2, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Area covered
    Netherlands
    Description

    This statistic shows the leading online dating websites in the Netherlands as of January 2017, based on the number of visitors per month. The source mentions that dating websites in the Netherlands do not provide this information and the data comes from intelligence agency Similarweb. As of January 2017, Lexa.nl was the most popular online dating website in the Netherlands, with 426,000 monthly visitors.

    During the second half of 2017, roughly 17 percent of the Dutch internet users indicated they visited an online dating website, service or app. Users aged 16 to 24 years did this the most: approximately 22 percent of all users in this age group indicated they did so.

  8. Bounce rate of leading consumer electronics sites worldwide 2024

    • statista.com
    Updated Jul 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Bounce rate of leading consumer electronics sites worldwide 2024 [Dataset]. https://www.statista.com/statistics/1325859/consumer-electronics-websites-bounce-rate-worldwide/
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    Worldwide
    Description

    Among selected consumer electronics retailers worldwide, apple.com recorded the highest bounce rate in April 2024, at approximately **** percent. Rival samsung.com had a slightly lower bounce rate of nearly ** percent. Among selected consumer electronics e-tailers, huawei.com had the lowest bounce rate at ***** percent. Bounce rate is a marketing term used in web traffic analysis reflecting the percentage of visitors who enter the site and then leave without taking any further action like making a purchase or viewing other pages within the website ("bounce"). A sector with growth potential With one of the lowest online shopping cart abandonment rates globally in 2022, consumer electronics is a burgeoning e-commerce segment that places itself at the crossroads between technological progress and digital transformation. Boosted by the pandemic-induced surge in online shopping, the global market size of consumer electronics e-commerce was estimated at more than *** billion U.S. dollars in 2021 and forecast to nearly double less than five years later. Amazon and Apple lead the charts in electronics e-commerce With more than ** billion U.S. dollars in e-commerce net sales in the consumer electronics segment in 2022, apple.com was the uncontested industry leader. The global powerhouse surpassed e-commerce giants amazon.com and jd.com with more than *** billion U.S. dollars difference in online sales in the consumer electronics category.

  9. 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.

  10. 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
(2025). similarweb.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/similarweb.com

similarweb.com Traffic Analytics Data

Explore at:
Dataset updated
May 1, 2025
Variables measured
Global Rank, Monthly Visits, Authority Score, US Country Rank, Online Services Category Rank
Description

Traffic analytics, rankings, and competitive metrics for similarweb.com as of May 2025

Search
Clear search
Close search
Google apps
Main menu