Facebook
TwitterTraffic analytics, rankings, and competitive metrics for similarweb.com as of February 2026
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.
Facebook
TwitterSWPS40 (Similar Web PageS) dataset is aimed for researchers to supply a ground truth dataset to verify their ranking results based on web page visual similarity. For this purpose, we have collected screenshots and HTML+CSS+Js files of 40 different web pages from different contexts and sectors. The main goal of this dataset is to provide ground truth for visual similarity based rankings collected from many participants. The web page pairs in the dataset were scored by 312 different participants. During the study, each participant scored 100 different page pairs yielding totally 31200 individual scores. In this way, 40 votings have been collected for each page pair (e.g. P1 and P4) In this way, it was aimed to generate a statistically significant ground truth rankings.
Facebook
Twitterhttps://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
Discover the booming website traffic analysis tool market! Learn about its $15B valuation (2025), 15% CAGR, key players (Google Analytics, Semrush, Ahrefs), and regional trends. Get insights into cloud-based solutions, SME adoption, and future market projections to 2033.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Host country of organization for 86 websites in study.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Website type for the 86 websites in study.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Industry vertical of organization for 86 websites in study.
Facebook
TwitterAmazon's global platform 'amazon.com' was the most popular e-commerce and shopping website worldwide, accounting for more than ***** percent of desktop visits to sites in this category in April 2024. Second place went to eBay.com with roughly three percent. Amazon leads the way There is no denying the dominance of Amazon in the e-commerce industry. By 2026, Amazon's worldwide net sales are estimated to exceed *** trillion U.S. dollars. In 2022, amazon.com garnered over ***** billion monthly visitors, maintaining its spot as the most popular retail website worldwide. As of April 2024, the leading social media traffic referrers to amazon.com were YouTube, Facebook, and X. Online shopping Amazon’s strong position is also due to shoppers’ preference for online marketplaces. As of April 2024, nearly ********* of online consumers opted for online marketplaces over all other digital channels. This category of platforms was also ranked as the e-commerce channel delivering the best customer experience in 2024. According to shoppers worldwide, the ***** most important changes that could make their digital shopping experience better were faster delivery, free returns, and more convenient shipping conditions.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterTraffic analytics, rankings, and competitive metrics for similarweb.com as of February 2026