From October 2024 to February 2025, ChatGPT outperformed competing AI-powered search engines in traffic referral, achieving a total growth of 155.52 percent. Perplexity placed second, despite experiencing more significant fluctuations, with a total growth of 54.78 percent by the conclusion of the analyzed period. With a 43.64 percent overall growth, Google's Gemini ranked third among other engines and maintained the most consistent traffic referral rate. Artificial intelligence-driven trends, notably AI-powered search, are changing online traffic patterns. This suggests a more significant change in the way users find information online and is expected to have a knock-on effect on the digital advertising sector.
In March 2021, the majority of search traffic to YouTube.com came from Google.com, with close to *** million average monthly visits to the popular video platform originating from the search engine. Privacy-oriented search engine DuckDuckGo came in second, averaging ** million visits in the examined period. YouTube.com traffic through Microsoft Bing amounted to *** million visits, making it the third search engine based on monthly referrer traffic volume.
Between November 2020 and April 2021, the United States registered by far the highest traffic volume for the keyword "pride month", with an average of 108.7 thousand monthly searches during the measured period. The United Kingdom followed, with a volume of traffic of 15.7 thousand searches per month. Brazil and the Netherlands registered lower volumes, with searches for the keywords around 3.3 thousand. In the United States, Pride month is celebrated in June of every year to honor LGBTQ+ communities.
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The website Ya.ru, the main page of the internet company Yandex, was visited around *** million times in December 2024. The company changed the page from Yandex.ru to Ya.ru at the end of August 2022 after it sold its Zen and News services to VK, formerly Mail.ru Group. Yandex is the most popular search engine in Russia. In the fourth quarter of 2024, it accounted for over ** percent of total visits.
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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
Among the ** most popular websites in Russia, Google.com had the highest average monthly traffic, at over five billion visits in November 2024. It was followed by the Russian search engine Yandex.ru, with around *** billion visits in the same period.
From January 2020 to March 2023, the American Psychological Association (APA) was the most popular mental health-related organization online in the United States, accumulating a search volume of 5.29 million average monthly searches to its apa.org web address within the country. sleepfoundation.org and drugabuse.gov ranked second and third, with around 3.33 million and 1.69 million monthly searches each during the same period.
In December 2021, Reddit saw approximately 4.26 billion visits to the website of its popular discussion and social platform. Almost 58 percent of traffic recorded during the month was generated via search engines, with over 2.45 billion visits to the website. Direct traffic to Reddit made up 38.4 percent of the platform's monthly visits, while social traffic represented 0.57 percent of all the platform's visits during the examined month.
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Linear network representing the estimated traffic flows for roads and highways managed by the Ministry of Transport and Sustainable Mobility (MTMD). These flows are obtained using a statistical estimation method applied to data from more than 4,500 collection sites spread over the main roads of Quebec. It includes DJMA (annual average daily flow), DJME (summer average daily flow), DJME (summer average daily flow (June, July, August, September) and DJMH (average daily winter flow (December, January, February, March) as well as other traffic data. It is important to note that these values are calculated for total traffic directions. Interactive map: Some files are accessible by querying a section of traffic à la carte with a click (the file links are displayed in the descriptive table that is displayed when clicking): • Historical aggregated data (PDF) • Annual reports for permanent sites (PDF and Excel) • Hourly data (hourly average per weekday per month) (Excel) • Annual reports for permanent sites (PDF and Excel) • Hourly data (hourly average per weekday per month) (Excel)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
In February 2023, Cameo.com saw approximately 4.7 million monthly website visits from users worldwide. Launched in 2016, the platform allows fans to request personalized messages from their favorite celebrity for a fee. In 2021, “The Office” actor Brian Baumgartner was among the most popular celebrities on Cameo, charging 225 U.S. dollars to fans for personalized video content.
Starred creators: Celebrities on the internet Following the life of celebrities is one of the secret pleasures of millions of users on the internet. In 2021, Britney Spears was the highest trending celebrity worldwide, with an increase of 117 percent in Google searches compared to the previous year. While the great majority of stars and famous personalities are under strict public relations control, fans can get a glimpse into their favorite celebrity’s life on social media in a seemingly organic way. Mainstream celebrities are the most followed users on Instagram, with footballer Cristiano Ronaldo and actor Dwayne 'The Rock" Johnson amassing 332 million and 265 million users, respectively.
Online video content creators According to a May 2022 survey of digital creators on Patreon, videos were the most popular content format, with almost 40 percent of creators choosing this type of media. Writing and audio content followed, with 17 percent and 14 percent of users on the popular crowdfunding platform reporting using these media to interact with their online audiences. Despite its popularity, video content generally requires more effort from creators, as well as notable knowledge of video editing software. According to a survey of digital content creators conducted in 2021, 36 percent of respondents spent between one and five hours weekly creating digital content, while 16 percent spent between 10 and 20 hours per week working on content to publish.
In the measured time period, December 2024 saw the highest figures for online traffic to the fast fashion marketplace shein.com. According to the data, desktop and mobile visits to shein.com reached almost 204 million visits that month. Shein's valuation Shein is among the private startups that rapidly reached a valuation of over one billion dollars, otherwise known as unicorns. Among the top unicorn companies ranked in 2024, Shein was fifth with a total valuation of over 65 billion U.S. dollars. In 2023, Shein was also the most visited fashion and apparel website worldwide, outpacing big names such as Nike and Zara. Global unicorn landscape: U.S. leads in numbers As of February 2024, the United States was the country with the most unicorn companies, 739, followed by China at 278. Although China does not have the most unicorns, ByteDance, the Chinese tech company that owns TikTok, had the highest valuation worldwide. Software and finance are the most likely industries for unicorn companies to form.
These data are a spatially explicit representation of monthly shipping intensity in the Pacific Arctic region from January 1, 2015 to December 31, 2020. We calculated shipping intensity based on Automatic Identification System (AIS) data, a type of Global Positioning System (GPS) transmitter required by the International Maritime Organization on all ships over 300 gross tonnes on an international voyage, all cargo ships over 500 gross tonnes, and all passenger ships. We used AIS data received by the exactEarth satellite constellation (64 satellites as of 2020), ensuring spatial coverage regardless of national jurisdiction or remoteness. Our analytical approach converted raw AIS input into monthly raster datasets, separated by vessel type. We first filtered raw AIS messages to remove spurious records and GPS errors, then joined remaining vessel positional records with static messages including descriptive attributes. We further categorized these messages into one of four general ship types (cargo; tanker; fishing; and other). To develop the raster dataset, we created a series of spatially explicit daily vessel tracks according to unique voyages and aggregated tracks by ship type and month. We then created a 10-km raster grid and calculated the total length, in meters, of all vessel tracks within each raster cell. These monthly datasets provide a critical snapshot of dynamic commercial and natural systems in the Pacific Arctic region. Recent declines in sea ice have lengthened the duration of the shipping season and have expanded the spatial coverage of large vessel routes, from the Aleutian Islands through the Bering Strait and into the southern Chukchi Sea. As vessel traffic has increased, so has exposure to the myriad environmental risks posed by large ships, including oil spills, underwater noise pollution, large cetacean ship-strikes, and discharges of pollutants. This dataset provides scientific researchers, local community members, mariners, and decision-makers with a quantitative means to evaluate the distribution and intensity of shipping across space and through time. In addition to these 10-km raster data, we also produced data products in 25-km raster format as well as a 1-km coastal data subset and a hex data set which contains additional attributes (e.g., number of ships, ship speed). To find these products, search for “North Pacific and Arctic Marine Vessel Traffic Dataset” in the Arctic Data Center’s data repository.
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The SEO for Lead Generation market is experiencing robust growth, driven by the increasing reliance of businesses on digital marketing strategies to acquire high-quality leads. The market's expansion is fueled by a rising demand for measurable and cost-effective lead generation solutions. Businesses across various sectors are increasingly adopting SEO as a crucial component of their overall marketing strategy, recognizing its potential to enhance brand visibility, drive organic traffic, and ultimately convert website visitors into qualified leads. This trend is further accelerated by advancements in search engine algorithms and the evolution of sophisticated SEO techniques, enabling more precise targeting and improved conversion rates. The competitive landscape is characterized by a mix of established agencies and emerging players, each vying for market share by offering specialized services, technological expertise, and data-driven strategies. While the market faces challenges such as algorithm updates and the evolving nature of search engine optimization, the long-term outlook remains positive, with continuous innovation and evolving market demands driving further growth. The market's segmentation reveals a focus on various service offerings, including keyword research, on-page optimization, off-page optimization, technical SEO, and content marketing. Geographic segmentation likely shows strong performance in North America and Europe, driven by robust digital adoption and higher marketing budgets in these regions. However, growth opportunities exist in emerging markets with increasing internet penetration and a rising number of businesses seeking online presence. Factors such as economic fluctuations, evolving consumer behavior, and the ever-changing landscape of search engine algorithms pose challenges, requiring businesses to constantly adapt their SEO strategies to remain competitive and effective. The mentioned companies represent a cross-section of the market, encompassing both large established agencies and smaller, specialized firms, indicating a dynamic and competitive market structure. A conservative estimate, considering typical market growth rates in related sectors, suggests a substantial market expansion over the forecast period.
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This dataset contains traffic citation information (criminal and civil) from January 2018 forward, including demographic information for officers as well as individuals. Data is updated monthly on the 1st.
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In March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.
From January 2020 to March 2023, the World Health Organization (WHO) was by far the most popular mental health-related organization online, accumulating a search volume of 41.93 million average monthly searches to its who.int web address worldwide. The American Psychological Association (APA) with around 11.48 million monthly searches worldwide to its apa.org web address during the same period.
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Search Recommendation Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc. The dataset is helpful… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/search-recommendation-ai-agent.
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We provide detailed web activity data from users browsing popular websites worldwide. This comprehensive data allows for in-depth analysis of web behavior, enabling the creation of precise audience segments based on web activity. These segments can be used to target ads effectively, focusing on users' interests and their search or browsing intent.
Our web data reach includes extensive counts across various categories, covering attributes such as country, anonymous ID, IP addresses, search queries, and more.
We dynamically collect and update data, providing the latest insights through the most appropriate method at intervals that best suit your needs, whether daily, weekly, or monthly.
Our web activity data is instrumental for personalized targeting, data enrichment, market intelligence, and enhancing fraud and cybersecurity measures, helping businesses optimize their strategies and security efforts.
description: | A. PURPOSE | This dataset was created to show the locations of traffic circles. | B. METHODOLOGY | Manually updated.Search "Traffic Circle" and "Circle" and "Roundabout" through Work Order Database and confirm work completed date.Confirm with striping drawing in Official Records. | C. UPDATE FREQUENCY | As needed | D. OTHER CRITICAL INFO | N/A | E. ATTRIBUTES |DESCRIPT: Traffic circle or traffic circle reconfiguration;IMPLEMYR: Fiscal year the traffic circle was installed;PROGRAM: Whether it was part of areawide traffic calming, site-specific traffic calming, addbacks, or other;COUNT: number of traffic circles;PROJ_NAME: project name;CNN: unique intersection ID;STREETNAME: primary street;FROM_STREE: cross street;NOTES: additional notes;INSTALL_MO: Month the traffic circle was installed;INSTALL_YR: Year the traffic circle was installed; abstract: | A. PURPOSE | This dataset was created to show the locations of traffic circles. | B. METHODOLOGY | Manually updated.Search "Traffic Circle" and "Circle" and "Roundabout" through Work Order Database and confirm work completed date.Confirm with striping drawing in Official Records. | C. UPDATE FREQUENCY | As needed | D. OTHER CRITICAL INFO | N/A | E. ATTRIBUTES |DESCRIPT: Traffic circle or traffic circle reconfiguration;IMPLEMYR: Fiscal year the traffic circle was installed;PROGRAM: Whether it was part of areawide traffic calming, site-specific traffic calming, addbacks, or other;COUNT: number of traffic circles;PROJ_NAME: project name;CNN: unique intersection ID;STREETNAME: primary street;FROM_STREE: cross street;NOTES: additional notes;INSTALL_MO: Month the traffic circle was installed;INSTALL_YR: Year the traffic circle was installed
From October 2024 to February 2025, ChatGPT outperformed competing AI-powered search engines in traffic referral, achieving a total growth of 155.52 percent. Perplexity placed second, despite experiencing more significant fluctuations, with a total growth of 54.78 percent by the conclusion of the analyzed period. With a 43.64 percent overall growth, Google's Gemini ranked third among other engines and maintained the most consistent traffic referral rate. Artificial intelligence-driven trends, notably AI-powered search, are changing online traffic patterns. This suggests a more significant change in the way users find information online and is expected to have a knock-on effect on the digital advertising sector.