In the first half of 2022, page views of mainstream newspaper and magazine websites in Brazil peaked in June. That month, news sites audited by the source reported over 987 million page views, of which more than two-thirds (675 million) were generated via smartphones. 2022 was the first year mobile phones accounted for most of the web traffic in Brazil.

Cars.com is a U.S.- based automotive classifieds website which recorded nearly 22 million average monthly unique visitors from the start of 2019 to June 30th, 2019. In the same period of 2023, average monthly unique visitors to the site raised to 27.7 million.

For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/

This dataset provides monthly page views in Data.gov up to 2013.

This statistic illustrates the number of monthly unique visitors of Corriere della Sera website in Italy in the period from March to October 2018. Compared to March, when the number of unique visitors nearly reached 24 million, Corriere.it lost approximately ten million unique visitors in October 2018.

In December 2024, OnlyFans.com saw approximately 468 million monthly website visits from users worldwide. Launched in 2016, OnlyFans is a social and video platform that allows creators to monetize their content via paid subscriptions and tips. In recent years, the London-based platform has become increasingly popular for hosting adult content.

In November 2024, Google.com was the most popular website worldwide with approximately 6.25 billion unique monthly visitors. YouTube.com was ranked second with an estimated 3.64 billion unique monthly visitors. Both websites are among the most visited websites worldwide.

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

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.

Below you’ll find a month by month breakdown of traffic on the australia.gov.au website along the following lines:

• Pageviews
• Visits
• Pages per visit
• Average time on page
• Devices

This data is generated using Google analytics.

Please Note: This is an initial version of the data only. We’re looking forward to hearing your feedback on what other metrics are of interest to you. Please let us know by sending an email to data@digital.gov.au.

The dataset contains information, divided by month, on accesses made to the online services offered by the opendata portal and provided by the municipality of Milan. The pageviews column represents the total number of web pages that have been viewed within the time frame used. The visits column represents the total visits made, within the time frame used. The visitors column represents the total number of unique visitors who have accessed the web pages. By unique visitor, we mean a visitor counted only once within the time frame used.

On this page you can download the monthly visitor numbers of the open data portal of the City of Münster. These are made available for download as part of the open data initiative of the City of Münster. These are standard export files from the web analysis tool “Matomo”. The tab-separated CSV files (TSV) contain the following information per month in the columns: Name (of the page accessed) Unique page views Page Views Total time spent by visitors (in seconds) nb_hits_with_time_generation — Visits where page generation time was measured min_time_generation — Minimum page generation time max_time_generation — Maximum page generation time Entrances Promotions after admission Total time spent by visitors (in seconds) after admission Jumps Unique visitors (day total) Unambiguous entry (daily total) Exits Clear exits (daily total) Clicked in the search results Average time per page Bounce rate Exit rate Average generation time Metadata: segment The data is gradually expanded to include monthly statistics. For more information on the data contained in the columns, see the Matomo Glossary History of visits and access numbers from 01/2021-12/2021

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Monthly analytics reports for the Brisbane City Council website

Information regarding the sessions for Brisbane City Council website during the month including page views and unique page views.

This data, exported from Google Analytics displays the most popular 50 pages on Austintexas.gov based on the following: Views: The total number of times the page was viewed. Repeated views of a single page are counted. Bounce Rate: The percentage of single-page visits (i.e. visits in which the person left your site from the entrance page without interacting with the page).

*Note: On July 1, 2023, standard Universal Analytics properties will stop processing data.

This statistic shows the number of monthly unique visitors of the newspaper Il Fatto Quotidiano website in Italy in the period from March to October 2018. Compared to March 2018, when the number of monthly unique visitors was about 11.4 million, Il Fatto Quotidiano lost approximately two million unique visitors in October of the same year.

This dataset presents the number of unique visitors on issy.com, the site of the City of Issy-les-Moulineaux, at monthly intervals.

This statistic shows the number of monthly unique visitors of the news website Agenzia Giornalistica Italia in Italy in the period from March to October 2018. Compared to March 2018, when the number of monthly unique visitors was approximately 2.9 million, the website lost approximately 200 thousand unique visitors in October of the same year.

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

The dataset contains information, divided by month, on accesses made to online services offered by the citizen's file and provided by the municipality of Milan. The pageviews column represents the total number of web pages that have been viewed within the time frame used. The visitors column represents the total number of unique visitors who have accessed the web pages. By unique visitor, we mean a visitor counted only once within the time frame used.

This statistic illustrates the number of monthly unique visitors of Repubblica.it in Italy in the period from March to October 2018. Compared to March, when the number of unique visitors reached over 25 million, Repubblica.it lost approximately one million unique visitors in October 2018.