Google.com, youtube.com, and facebook.com were the most visited websites in Ukraine in December 2021. Furthermore, Google's website on the Ukrainian domain, google.com.ua, ranked in the top 10 during that time.

In July 2024, planity.com was the most visited beauty and cosmetics website in France, acquiring more than ************* visitors. Following closely behind, aroma-zone.com received *********** visits. Sephora.fr amassed roughly ************ visitors.

Traffic Volumes from SCATS Traffic Management System Jan-Jun 2025 DCC. Published by Dublin City Council. Available under the license cc-by (CC-BY-4.0).Traffic volumes data across Dublin City from the SCATS traffic management system. The Sydney Coordinated Adaptive Traffic System (SCATS) is an intelligent transportation system used to manage timing of signal phases at traffic signals. SCATS uses sensors at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle sensors are generally inductive loops installed within the road.

3 resources are provided:

SCATS Traffic Volumes Data (Monthly) Contained in this report are traffic counts taken from the SCATS traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Thus the traffic volume counts here are best used to represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows.

Information provided:

End Time: time that one hour count period finishes.

Region: location of the detector site (e.g. North City, West City, etc).

Site: this can be matched with the SCATS Sites file to show location

Detector: the detectors/ sensors at each site are numbered

Sum volume: total traffic volumes in preceding hour

Avg volume: average traffic volumes per 5 minute interval in preceding hour

All Dates Traffic Volumes Data

This file contains daily totals of traffic flow at each site location.

SCATS Site Location Data Contained in this report, the location data for the SCATS sites is provided. The meta data provided includes the following;

Site id – This is a unique identifier for each junction on SCATS

Site description( CAP) – Descriptive location of the junction containing street name(s) intersecting streets

Site description (lower) - – Descriptive location of the junction containing street name(s) intersecting streets

Region – The area of the city, adjoining local authority, region that the site is located

LAT/LONG – Coordinates

Disclaimer: the location files are regularly updated to represent the locations of SCATS sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends....

The people from Czech are publishing a dataset for the HTTPS traffic classification.

Since the data were captured mainly in the real backbone network, they omitted IP addresses and ports. The datasets consist of calculated from bidirectional flows exported with flow probe Ipifixprobe. This exporter can export a sequence of packet lengths and times and a sequence of packet bursts and time. For more information, please visit ipfixprobe repository (Ipifixprobe).

During research, they divided HTTPS into five categories: L -- Live Video Streaming, P -- Video Player, M -- Music Player, U -- File Upload, D -- File Download, W -- Website, and other traffic.

They have chosen the service representatives known for particular traffic types based on the Alexa Top 1M list and Moz's list of the most popular 500 websites for each category. They also used several popular websites that primarily focus on the audience in Czech. The identified traffic classes and their representatives are provided below:

Live Video Stream Twitch, Czech TV, YouTube Live Video Player DailyMotion, Stream.cz, Vimeo, YouTube Music Player AppleMusic, Spotify, SoundCloud File Upload/Download FileSender, OwnCloud, OneDrive, Google Drive Website and Other Traffic Websites from Alexa Top 1M list

In March 2024, the video platform YouTube reported around 32.5 billion visits from global users. Meta-owned Facebook.com reported around 16.1 billion visits from global users, as Instagram.com and Twitter.com followed, each with 7 billion and 6.1 billion visits from users worldwide during the examined month. Wikipedia.org, which hosts users-generated encyclopedic entries, recorded around 4.4 billion visits, while news aggregator and community platform Reddit.com saw approximately 2.2 billion visits during the examined period.

Traffic analytics, rankings, and competitive metrics for best-hashtags.com as of May 2025

Traffic Volumes data across Dublin City from the scats traffic management system. The Sydney Coordinated Adaptive Traffic System (scats) is an intelligent transportation system used to manage timing of signal Phases at traffic signals. Scats uses SENSORS at each traffic signal to detect vehicle presence in each lane and pedestrians waiting to cross at the local site. The vehicle SENSORS are Generally Inductive Loops installed within the road. 3 resources are provided: Traffic Volumes Data scats (Monthly) Contained in this report are traffic Counts taken from the scats traffic detectors located at junctions. The primary function for these traffic detectors is for traffic signal control. Such devices can also count general traffic Volumes at defined locations on approach to a junction. These devices are set at specific locations on approaches to the junction but may not be on all approaches to a junction. As there are multiple junctions on any one route, it could be expected that a vehicle would be counted multiple times as it progress along the route. Set the traffic volume Counts here are best used to Represent trends in vehicle movement by selecting a specific junction on the route which best represents the overall traffic flows. Information provided: End Time: time that one hour count period finishes. Region: location of the detector site (e.g. North City, West City, etc.). Site: this can be matched with the scats Sites file to show location Detector: the detectors/SENSORS at each site are numbered Sum volume: total traffic Volumes in preceding hour AVG volume: average traffic Volumes per 5 minute interval in preceding hour All Dates Traffic Volumes Data This file contains daily totals of traffic flow at each site location. Scats Site Location Data Contained in this report, the location data for the scats sites is provided. The meta data provided includes the following; Site id — This is a unique identifier for each junction on scats Site description(CAP) — Descriptive location of the junction containing street name(s) intersecting street streets Site description (lower) — – Descriptive location of the junction containing street name(s) intersecting street streets Region — The area of the city, adjoining local authority, region that the site is located Lat/LONG — Coordinates Disclaimer: the location files are regularly updated to Represent the locations of scats sites under the control of Dublin City Council. However site accuracy is not absolute. Information for LAT/LONG and region may not be available for all sites contained. It is at the discretion of the user to link the files for analysis and to create further data. Furthermore, detector communication issues or Faulty detectors could also result in an inaccurate result for a given period, so values should not be taken as absolute but can be used to indicate trends.

At The Good, we love to use the phrase, “Let’s test it.” There’s no sense in making assumptions or guessing what an audience wants. It’s smarter – and better for your budget – to run experiments in order to determine what actually boosts your conversion rate. A/B testing is the standard experimentation methodology for digital marketing. […]

ArcGIS Online (AGOL) Hosted Feature Layer which includes the MDOT SHA Top 15 Congested Roadways (AM & PM) - Planning Time & Travel Time Indexes (PTI / TTI) geospatial data products.MDOT SHA Top 15 Congested Roadways (AM & PM) - Planning Time & Travel Time Indexes (PTI / TTI) data consists of linear geometric features showing the most congested roadways during morning & evening peak hours throughout the State of Maryland.MDOT SHA Top 15 Congested Roadways (AM & PM) - Planning Time & Travel Time Indexes (PTI / TTI) data is owned and maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE) Travel Forecasting & Analysis Division (TFAD). This data is updated on an annual basis for the prior year. This data is for the year 2017.Last Updated: 01/01/2018For additional information, contact the MDOT SHA Geospatial Technologies Team:Email: GIS@mdot.state.md.usFor additional data, visit the MDOT GIS Open Data Portal:Website: https://data.imap.maryland.gov/pages/mdot/For additional information related to the Maryland Department of Transportation (MDOT):Website: https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):Website: https://www.roads.maryland.gov/Home.aspxFor additional information related to the MDOT SHA Office of Planning & Preliminary Engineering (OPPE):Website: https://www.roads.maryland.gov/Index.aspx?PageId=125MDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.

Imagine you click an ad on Facebook for a spiffy set of binoculars. The ad claims they are perfect for bird watchers like yourself. The link sends you to a product page on an ecommerce website. You see the same binoculars but no mention of birds. It seems like a great device, but you wonder […]

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.

When Amazon was launched in July 16, 1995 as a website that only sold books, founder Jeff Bezos had a vision for the company's explosive growth and e-commerce domination. In December 2019, we note that around 6.5 percent of visits to Amazon came from paid traffic in France, that is to say, visits made through paid advertising. With a strong discrepancy to it's competitors, the next best performing company was Microsoft.

In February 2025, jomashop.com ranked as the most visited jewelry and luxury goods website worldwide. That month, the premium site garnered over eight million website visitors. Therealreal.com ranked second, with around seven million visitors, followed by saksfifthavenue.com at about six million.

The news website Tengrinews.kz had the highest average monthly traffic among the most popular local websites in Kazakhstan, having been frequented over ** million times per month in 2023. It was followed by Gismeteo.kz, a weather forecast website, with around ** million visits on average each month.

Department store chain myer.com.au topped the list of popular apparel and fashion retail websites shopped from in Australia in February 2025, registering around **** million site visits. Coming in second, online-only fashion retailer shein.com recorded approximately **** million site visits in Australia that same month. theiconic.com.au dropped to fourth place in the ranking, increasingly challenged by shein.com.

In 2024, the country with the largest traffic share for the luxury and jewelry industry was the United States, at 19.8 percent, and with approximately 500 million to two billion visits in total. In second place were India and Japan with a traffic share of 7.5 percent.

Total visits to bestbuy.com peaked in November 2023 at 330 million before declining to about 123 million in April 2024. While this figure measures the site's global traffic, the consumer electronics retailer operates primarily in the U.S., Canada, and Mexico.

Google.com was the most visited website in Kazakhstan, with approximately *** million visits in October 2024. It was followed by the online video sharing platform YouTube, which was frequented ***** million times in the same month.

Across popular online marketplace websites, amazon.com.au registered the highest number of site visits at around 60 million visits in Australia in February 2025. ebay.com.au took second place, recording approximately 37.3 million site visits in Australia that same month. Chinese marketplace temu.com came in fourth, with around 14.77 million site visits, just behind aliexpress.com.

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.