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.

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.

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

Context

This file contains 5 years of daily time series data for several measures of traffic on a statistical forecasting teaching notes website whose alias is statforecasting.com. The variables have complex seasonality that is keyed to the day of the week and to the academic calendar. The patterns you you see here are similar in principle to what you would see in other daily data with day-of-week and time-of-year effects. Some good exercises are to develop a 1-day-ahead forecasting model, a 7-day ahead forecasting model, and an entire-next-week forecasting model (i.e., next 7 days) for unique visitors.

Content

The variables are daily counts of page loads, unique visitors, first-time visitors, and returning visitors to an academic teaching notes website. There are 2167 rows of data spanning the date range from September 14, 2014, to August 19, 2020. A visit is defined as a stream of hits on one or more pages on the site on a given day by the same user, as identified by IP address. Multiple individuals with a shared IP address (e.g., in a computer lab) are considered as a single user, so real users may be undercounted to some extent. A visit is classified as "unique" if a hit from the same IP address has not come within the last 6 hours. Returning visitors are identified by cookies if those are accepted. All others are classified as first-time visitors, so the count of unique visitors is the sum of the counts of returning and first-time visitors by definition. The data was collected through a traffic monitoring service known as StatCounter.

Inspiration

This file and a number of other sample datasets can also be found on the website of RegressIt, a free Excel add-in for linear and logistic regression which I originally developed for use in the course whose website generated the traffic data given here. If you use Excel to some extent as well as Python or R, you might want to try it out on this dataset.

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.

This dataset was used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.

The original dataset contains missing values. They have been simply replaced by zeros.

In March 2024, Amazon.com had approximately 2.2 billion combined web visits, up from 2.1 billion visits in February. In the fourth quarter of 2024, Amazon’s net income amounted to approximately 20 billion U.S. dollars. Online retail in the United States Online retail in the United States is constantly growing. In the third quarter of 2023, e-commerce sales accounted for 15.6 percent of retail sales in the United States. During that quarter, U.S. retail e-commerce sales amounted to over 284 billion U.S. dollars. Amazon is the leading online store in the country, in terms of e-commerce net sales. Amazon.com generated around 130 billion U.S. dollars in online sales in 2022. Walmart ranked as the second-biggest online store, with revenues of 52 billion U.S. dollars. The king of Black Friday In 2023, Amazon ranked as U.S. shoppers' favorite place to go shopping during Black Friday, even surpassing in-store purchasing. Nearly six out of ten consumers chose Amazon as the number one place to go find the best Black Friday deals. Similar findings can be observed in the United Kingdom (UK), where Amazon is also ranked as the preferred Black Friday destination.

Google Search Statistics 2023

• Google is the most searched website in the World.
• Google receives more visitors than any other site. Google is accessed 89.3 trillion times per month.
• Google is used by billions of people every day to conduct their searches. Google is much more than a simple search engine.
• Google provides many other services. Google Shopping and Google News also feature. Google Mail, Google's popular email service, is included.
• Google organic search traffic is 16.3% of the total US searches.

The visitors to government websites for each hour in the last 24 hours.

Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

Website visit data with URLs, categories, timestamps, and anonymized unique device identifiers.

Over 50 million unique devices per day. 1 billion+ raw signals per month with historical raw data available.

This data can be combined with demographic and lifestyle data to provide a richer view of the anonymous users/devices.

Intended for training ML and AI models.

The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/12/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt.zip

• Capture the Identity of Your Anonymous Web Visitors.
• 500M B2B & B2C Hash Email Resolutions
• That Day's Contacts Deposited to an FTP Every Night
• Full Contact Details for US Web Traffic Data Resolution

Click is global web traffic data combined with transaction data to enhance signal capabilities. Click adds a layer to your analysis for richer spending behavior on consumer & B2B websites, addressable market overview, trends and shopping behavior shifts, and effects of pricing on growth.

The total visits to Walmart.com peaked in November 2023 at 517 million, after reaching a low of approximately 369 million in September 2023. The months leading up to the winter holidays are typically the months with the highest web traffic in e-commerce in the United States.

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Global network traffic analytics Industry Overview

Technavio’s analysts have identified the increasing use of network traffic analytics solutions to be one of major factors driving market growth. With the rapidly changing IT infrastructure, security hackers can steal valuable information through various modes. With the increasing dependence on web applications and websites for day-to-day activities and financial transactions, the instances of theft have increased globally. Also, the emergence of social networking websites has aided the malicious attackers to extract valuable information from vulnerable users. The increasing consumer dependence on web applications and websites for day-to-day activities and financial transactions are further increasing the risks of theft. This encourages the organizations to adopt network traffic analytics solutions.

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See the complete table of contents and list of exhibits, as well as selected illustrations and example pages from this report.

Companies covered

The network traffic analytics market is fairly concentrated due to the presence of few established companies offering innovative and differentiated software and services. By offering a complete analysis of the competitiveness of the players in the network monitoring tools market offering varied software and services, this network traffic analytics industry analysis report will aid clients identify new growth opportunities and design new growth strategies.

The report offers a complete analysis of a number of companies including:

• Allot
• Cisco Systems
• IBM
• Juniper Networks
• Microsoft
• Symantec

Network traffic analytics market growth based on geographic regions

• Americas
• APAC
• EMEA

With a complete study of the growth opportunities for the companies across regions such as the Americas, APAC, and EMEA, our industry research analysts have estimated that countries in the Americas will contribute significantly to the growth of the network monitoring tools market throughout the predicted period.

Network traffic analytics market growth based on end-user

• Telecom
• BFSI
• Healthcare
• Media and entertainment

According to our market research experts, the telecom end-user industry will be the major end-user of the network monitoring tools market throughout the forecast period. Factors suc

Average Annual Daily Traffic data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain data on the total volume of vehicle traffic on a highway or road for a year divided by 365 days.

Visitor analytics in city of Helsinki websites. The websites include, for example, the city’s main website hel.fi, the Youth Helsinki website that compiles the content for young people, the Helsinki Channel for webcasts and event recordings and the geographic data service kartta.hel.fi. Under Data and Resources, there is a list in CSV format of all the websites of the city for which visitor analytics is available.

The data contains information on, for example, the number of visitors to the website, the number of visits, the number of actions and the average time spent on the website. The data is obtained from Matomo, a web analytics monitoring tool.

The data is available for each month in three different files. The files are named with the year-month principle (YYYY-MM). The file is automatically updated daily at 02:00. The report contains data for the current month up to the previous day.

Data can be accessed by finding the desired month file in this directory: https://datastore.hri.fi/index.html?prefix=Helsinki/kanslia/kavijaanalytiikka/

For example, data from January 2022 can be downloaded from these links:

• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-devices.json
• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-sites.json
• https://datastore.hri.fi/Helsinki/kanslia/kavijaanalytiikka/matomo-export-2022-1-visits.json

Data attributes by file

ID_lista_Matomo (explanations of id numbers of other files)

• idsite = Identification number of the website. Corresponds to the key and idsite fields in other files.
• name = Name of the website. Corresponds to the label field in the Sites file.
• main_url = Website URL.
• ts_created = The date the site was connected to the Matomo tracking tool.

Visits (general metrics)

• key = Page ID in Matomo.
• nb_uniq_visitors = Number of unique visitors.
• nb_users = Number of unique active users (visitors with a known username/ID). If you do not use a User ID, this meter is set to zero.
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• nb_visits_converted = Number of visits that generated the goal.
• bounce_count = Number of visits that ended immediately (viewing only one page).
• sum_visit_length = Total amount of time spent in seconds.
• max_actions = The maximum number of actions during the visit.
• bounce_rate = Ratio of site visits that ended immediately to the number of visits (see bounce_count).
• nb_actions_per_visit = Number of actions per visit.
• avg_time_on_site = Average amount of time spent on a given page in seconds.

Sites (pages ranked most visited to least visited)

• label = Page name in Matomo.
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• nb_pageviews = Number of page views.
• revenue = Total revenue for the goals.
• visits_evolution = % change from previous equal period.
• actions_evolution = % change from previous equal period.
• pageviews_evolution = % change from previous equal period.
• revenue_evolution = % change from previous equal period.
• idsite = Page Matomo ID.
• main_url = Address specified for the page in Matomo.

Devices (metrics sorted by device type)

• label = Device type (e.g. desktop/smartphone/tablet/portable media player/phablet).
• nb_visits = Number of visits (30 minutes of inactivity is counted as a new visit).
• nb_actions = Number of actions (page views, links and downloads).
• max_actions = The maximum number of actions during the visit.
• sum_visit_length = Total amount of time spent in seconds.
• bounce_count = Number of visits that ended immediately (viewing only one page).
• nb_visits_converted = Number of visits that generated the goal.
• sum_daily_nb_uniq_visitors = The sum of the daily numbers of individual visitors over the selected period. Matomo does not process individual - visitors during the entire period.
• sum_daily_nb_users = The sum of the numbers of daily visits over the selected period.
• segment:deviceType=desktop/smartphone/tablet/portable media player/phablet = Defines a custom segment to filter reports with (sort by devices).
• logo:plugins\/Morpheus\/icons\/dist\/devices\/desktop/smartphone/tablet/portable media player/phablet.png = Logo displayed in Matomo for the - device in question.

Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page

The census count of vehicles on city streets is normally reported in the form of Average Daily Traffic (ADT) counts. These counts provide a good estimate for the actual number of vehicles on an average weekday at select street segments. Specific block segments are selected for a count because they are deemed as representative of a larger segment on the same roadway. ADT counts are used by transportation engineers, economists, real estate agents, planners, and others professionals for planning and operational analysis. The frequency for each count varies depending on City staff’s needs for analysis in any given area. This report covers the counts taken in our City during the past 12 years approximately.