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

Host country of organization for 86 websites in study.

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

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

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

Website type for the 86 websites in study.

Context

This dataset was obtained using four similar web scrappers made in python, more information at content.

Content

topKagglersCompetitions.csv: Inside this dataset are the top kagglers at competitions with no biography data. Scrapper used: https://www.kaggle.com/ajpass/web-scrapping-vol-7-kaggle-competitions

topKagglersDatasets.csv: Inside this dataset are the top kagglers at datasets with no biography data. Scrapper used: https://www.kaggle.com/ajpass/data-mining-web-scrapping-vol-4-kaggle-datasets2

topKagglersDiscussion.csv: Inside this dataset are the top kagglers at discussions with no biography data. Scrapper used: https://www.kaggle.com/ajpass/web-scrapping-vol-6-kaggle-discussions

topKagglersNotebooks.csv: Inside this dataset are the top kagglers at notebooks with no biography data. Scrapper used: https://www.kaggle.com/ajpass/data-mining-web-scrapping-vol-5-kaggle-notebooks

Industry vertical of organization for 86 websites in study.

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.

Die Nachrichtenseite welt.de konnte laut Similarweb im Juli 2025 rund **** Millionen Visits verzeichnen. Die Anzahl der Visits ist damit im Vergleich zum Vormonat um rund *** Prozent gestiegen. Was sind Visits? Der Begriff Visits dient zur Reichweitenangabe eines Internet-Angebots. Dabei wird im Unterschied zu Unique User:in (einzelne Nutzer) die Anzahl der Besuche einer Webseite gemessen. Das digitale Angebot von Bild.de hatte im Juni 2025 laut IVW rund *** Millionen Visits und führte damit das Ranking der Top 20 Nachrichtenportale nach Anzahl der Visits in Deutschland an. Die Welt erreichte in diesem Ranking Platz *****. Reichweite und Auflage der Printausgabe der Tageszeitung Die Welt Im Vergleich zum digitalen Angebot besaß die Printausgabe der Zeitung Die Welt im Jahr 2024 eine Reichweite von ******* Lesern pro Ausgabe. Die verkaufte Auflage der Welt ist hingegen eher rückläufig und belief sich im ersten Quartal 2025 noch auf rund ****** Exemplare. Zum Vergleich: Im vierten Quartal 2016 wurden noch rund doppelt so viele Exemplare verkauft.