As of January 2025, online search engine Bing accounted for 12.23 percent of the global desktop search market, while market leader Google had a share of around 78.83 percent. Meanwhile, Yahoo's market share was 3.07 percent. Google in the global market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2023, with a market capitalization of 1,6 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2023 with roughly 305.6 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its’ alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users were nearly 36 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong percentage decrease of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. In the first quarter of 2022 nearly 56 percent of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 27 percent of users in Mexico said they used Yahoo. Another search engine, Bing, operated by Microsoft, was the second most popular search engine in the United Kingdom after Google.
In January 2025, the online search engine Bing accounted for 4.04 percent of the global search market across all devices, while market leader Google held a search traffic share of around 89.62 percent. Meanwhile, Yandex's market share was 2.62 percent, while Yahoo! represented around 1.34 percent.
Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.
Google is the leading search engine in South Africa. As of January 2023, almost 96 percent of the searches on the web were conducted through this search engine. Its closest contender was Bing, with a share of 3.5 percent. Yahoo! ranked third with a share of only 0.2 percent.
In January 2024, Microsoft Sites handled 28.3 percent of all search queries in the United States. During the same period, Verizon Media (formerly known as Yahoo and Oath) had a search market share of little less than 11 percent. Market leader Google generated 60.4 percent of all core search queries in the United States.
Unlock the Potential of Your Web Traffic with Advanced Data Resolution
In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.
Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.
Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.
Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.
Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.
Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.
Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.
Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.
How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:
Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.
Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.
Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.
Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.
Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.
Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...
In March 2024, Google accounted for 86.94 percent of the search market in the United States across all devices. Bing followed as the second leading search provider in the United States during the last examined month, with a share of around 8.04 percent, among the engine's highest quotas registered in the country to date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Internet Usage: Search Engine Market Share: Tablet: Haosou data was reported at 0.000 % in 06 Mar 2025. This stayed constant from the previous number of 0.000 % for 05 Mar 2025. Internet Usage: Search Engine Market Share: Tablet: Haosou data is updated daily, averaging 0.000 % from Feb 2025 (Median) to 06 Mar 2025, with 9 observations. The data reached an all-time high of 0.740 % in 02 Mar 2025 and a record low of 0.000 % in 06 Mar 2025. Internet Usage: Search Engine Market Share: Tablet: Haosou data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.SC.IU: Internet Usage: Search Engine Market Share.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Internet Usage: Search Engine Market Share: Tablet: Shenma data was reported at 0.000 % in 14 Dec 2024. This stayed constant from the previous number of 0.000 % for 13 Dec 2024. Internet Usage: Search Engine Market Share: Tablet: Shenma data is updated daily, averaging 0.000 % from Dec 2024 (Median) to 14 Dec 2024, with 9 observations. The data reached an all-time high of 0.220 % in 10 Dec 2024 and a record low of 0.000 % in 14 Dec 2024. Internet Usage: Search Engine Market Share: Tablet: Shenma data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Indonesia – Table ID.SC.IU: Internet Usage: Search Engine Market Share.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Code:
Packet_Features_Generator.py & Features.py
To run this code:
pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j
-h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j
Purpose:
Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.
Uses Features.py to calcualte the features.
startMachineLearning.sh & machineLearning.py
To run this code:
bash startMachineLearning.sh
This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags
Options (to be edited within this file):
--evaluate-only to test 5 fold cross validation accuracy
--test-scaling-normalization to test 6 different combinations of scalers and normalizers
Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use
--grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'
Purpose:
Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.
Data
Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.
Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:
First number is a classification number to denote what website, query, or vr action is taking place.
The remaining numbers in each line denote:
The size of a packet,
and the direction it is traveling.
negative numbers denote incoming packets
positive numbers denote outgoing packets
As of March 2024, mobile phones accounted for approximately 68.8 percent of the total web traffic in Asia. That was a slight increase from the previous year when mobile phones made up about 68 percent of the total web traffic in the region.
As of the fourth quarter of 2019, 49 percent of Yahoo's U.S. organic search traffic originated from mobile devices. Google had the highest share of organic mobile search traffic with 61 percent, slightly ahead of DuckDuckGo with 58 percent.
DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:
• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.
Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.
You will find well-rounded ways to scout the competitors:
• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.
All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.
The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.
We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.
We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.
Monthly port traffic statistics search engine. The consultation can be made by type of statistics and year and month.
Top 25 Daily Page Views for the main website of Los Angeles
TrueCar is a marketplace and e-commerce site which provides new and used car buyers with pricing and information related to the car buying experience. In the second quarter of 2021, the company recorded 9.6 million average monthly unique visitors to its site, the most of any quarter listed. Since then, quarterly website traffic has been declining, reaching 8.1 million unique visitors in the most recent quarter.
Google referrals made up nearly 97 percent of the web traffic in Tunisia as of January 2024, representing the most popular search engine in the country. Despite accounting for a significantly lower share of page referrals, Bing was the second-main search engine, representing under three percent of the web traffic. Yahoo! followed with a share smaller than one percent.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.
From November 2023 to April 2024, the total traffic to ulta.com decreased from roughly 40 to 32 million website visitors. Most users accessed ulta.com via mobile devices in April 2024, making up about 19 million website visits. That month, desktops accounted for around 12 million website visits.
Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights
Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.
Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.
Use Case: Analyze Year Over Year Growth Rate by Region
Problem A public investor wants to understand how a company’s year-over-year growth differs by region.
Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends
Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume
Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels
Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.
Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer
As of January 2025, online search engine Bing accounted for 12.23 percent of the global desktop search market, while market leader Google had a share of around 78.83 percent. Meanwhile, Yahoo's market share was 3.07 percent. Google in the global market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2023, with a market capitalization of 1,6 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2023 with roughly 305.6 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its’ alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users were nearly 36 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong percentage decrease of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. In the first quarter of 2022 nearly 56 percent of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 27 percent of users in Mexico said they used Yahoo. Another search engine, Bing, operated by Microsoft, was the second most popular search engine in the United Kingdom after Google.