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Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

Context

The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website.

Content

The sample dataset contains Google Analytics 360 data from the Google Merchandise Store, a real ecommerce store. The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website. It includes the following kinds of information:

Traffic source data: information about where website visitors originate. This includes data about organic traffic, paid search traffic, display traffic, etc. Content data: information about the behavior of users on the site. This includes the URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions that occur on the Google Merchandise Store website.

Fork this kernel to get started.

Acknowledgements

Data from: https://bigquery.cloud.google.com/table/bigquery-public-data:google_analytics_sample.ga_sessions_20170801

Banner Photo by Edho Pratama from Unsplash.

Inspiration

What is the total number of transactions generated per device browser in July 2017?

The real bounce rate is defined as the percentage of visits with a single pageview. What was the real bounce rate per traffic source?

What was the average number of product pageviews for users who made a purchase in July 2017?

What was the average number of product pageviews for users who did not make a purchase in July 2017?

What was the average total transactions per user that made a purchase in July 2017?

What is the average amount of money spent per session in July 2017?

What is the sequence of pages viewed?

dexscreener.com is ranked #4929 in US with 14.92M Traffic. Categories: . Learn more about website traffic, market share, and more!

Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.

The global market for website speed and performance testing tools is experiencing robust growth, driven by the increasing reliance on online businesses and the crucial role website speed plays in user experience and conversion rates. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $6 billion by 2033. This growth is fueled by several key factors: the rising adoption of cloud-based solutions offering scalability and cost-effectiveness; the expanding e-commerce sector demanding optimized website performance; and the increasing focus on search engine optimization (SEO), where page speed is a significant ranking factor. Furthermore, the emergence of sophisticated tools incorporating advanced analytics and AI-powered insights allows businesses to pinpoint performance bottlenecks and optimize website efficiency. The market is segmented by application (personal, enterprise, other) and type (cloud-based, on-premises), with cloud-based solutions dominating due to their flexibility and accessibility. Geographic regions like North America and Europe currently hold significant market share, but Asia-Pacific is projected to show substantial growth driven by rapid digitalization and e-commerce expansion. However, challenges such as the high initial investment costs associated with some enterprise-grade solutions and the need for continuous monitoring and updates could potentially restrain market growth to some extent. The competitive landscape is characterized by a mix of established players and emerging startups. Established companies like Pingdom, New Relic, and Google (with PageSpeed Insights) offer comprehensive solutions, while smaller players focus on niche functionalities or specific market segments. The market is witnessing continuous innovation, with new features such as real-user monitoring (RUM), synthetic monitoring, and integration with other DevOps tools constantly being introduced. This dynamic environment necessitates continuous adaptation and innovation for businesses to maintain a competitive edge. The ongoing demand for enhanced website performance, coupled with the increasing sophistication of testing tools, will likely fuel sustained growth in the coming years.

We present a dataset targeting a large set of popular pages (Alexa top-500), from probes from several ISPs networks, browsers software (Chrome, Firefox) and viewport combinations, for over 200,000 experiments realized in 2019.We purposely collect two distinct sets with two different tools, namely Web Page Test (WPT) and Web View (WV), varying a number of relevant parameters and conditions, for a total of 200K+ web sessions, roughly equally split among WV and WPT. Our dataset comprises variations in terms of geographical coverage, scale, diversity and representativeness (location, targets, protocol, browser, viewports, metrics).For Web Page Test, we used the online service www.webpagetest.org at different locations worldwide (Europe, Asia, USA) and private WPT instances in three locations in China (Beijing, Shanghai, Dongguan). The list of target URLs comprised the main pages and five random subpages from Alexa top-500 worldwide and China. We varied network conditions : native connections and 4G, FIOS, 3GFast, DSL, and custom shaping/loss conditions. The other elements in the configuration were fixed: Chrome browser on desktop with a fixed screen resolution, HTTP/2 protocol and IPv4.For Web View, we collected experiments from three machines located in France. We selected two versions of two browser families (Chrome 75/77, Firefox 63/68), two screen sizes (1920x1080, 1440x900), and employ different browser configurations (one half of the experiments activate the AdBlock plugin) from two different access technologies (fiber and ADSL). From a protocol standpoint, we used both IPv4 and IPv6, with HTTP/2 and QUIC, and performed repeated experiments with cached objects/DNS. Given the settings diversity, we restricted the number of websites to about 50 among the Alexa top-500 websites, to ensure statistical relevance of the collected samples for each page.The two archives IFIPNetworking2020_WebViewOrange.zip and IFIPNetworking2020_Webpagetest.zip correspond respectively to the Web View experiments and to the Web Page Test experiments.Each archive contains three files:- config.csv: Description of parameters and conditions for each run,- metrics.csv: Value of different metrics collected by the browser,- progressionCurves.csv: Progression curves of the bytes progress as seen by the network, from 0 to 10 seconds by steps of 100 milliseconds,- listUrl folder: Indexes the sets of urls.Regarding config.csv, the columns are: - index: Index for this set of conditions, - location: Location of the machine, - listUrl: List of urls, located in the folder listUrl - browserUsed: Internet browser and version - terminal: Desktop or Mobile - collectionEnvironment: Identification of the collection environment - networkConditionsTrafficShaping (WPT only): Whether native condition or traffic shaping (4G, FIOS, 3GFast, DSL, or custom Emulator conditions) - networkConditionsBandwidth (WPT only): Bandwidth of the network - networkConditionsDelay (WPT only): Delay in the network - networkConditions (WV only): network conditions - ipMode (WV only): requested L3 protocol, - requestedProtocol (WV only): requested L7 protocol - adBlocker (WV only): Whether adBlocker is used or not - winSize (WV only): Window sizeRegarding metrics.csv, the columns are: - id: Unique identification of an experiment (consisting of an index 'set of conditions' and an index 'current page') - DOM Content Loaded Event End (ms): DOM time, - First Paint (ms) (WV only): First paint time, - Load Event End (ms): Page Load Time from W3C, - RUM Speed Index (ms) (WV only): RUM Speed Index, - Speed Index (ms) (WPT only): Speed Index, - Time for Full Visual Rendering (ms) (WV only): Time for Full Visual Rendering - Visible portion (%) (WV only): Visible portion, - Time to First Byte (ms) (WPT only): Time to First Byte, - Visually Complete (ms) (WPT only): Visually Complete used to compute the Speed Index, - aatf: aatf using ATF-chrome-plugin - bi_aatf: bi_aatf using ATF-chrome-plugin - bi_plt: bi_plt using ATF-chrome-plugin - dom: dom using ATF-chrome-plugin - ii_aatf: ii_aatf using ATF-chrome-plugin - ii_plt: ii_plt using ATF-chrome-plugin - last_css: last_css using ATF-chrome-plugin - last_img: last_img using ATF-chrome-plugin - last_js: last_js using ATF-chrome-plugin - nb_ress_css: nb_ress_css using ATF-chrome-plugin - nb_ress_img: nb_ress_img using ATF-chrome-plugin - nb_ress_js: nb_ress_js using ATF-chrome-plugin - num_origins: num_origins using ATF-chrome-plugin - num_ressources: num_ressources using ATF-chrome-plugin - oi_aatf: oi_aatf using ATF-chrome-plugin - oi_plt: oi_plt using ATF-chrome-plugin - plt: plt using ATF-chrome-pluginRegarding progressionCurves.csv, the columns are: - id: Unique identification of an experiment (consisting of an index 'set of conditions' and an index 'current page') - url: Url of the current page. SUBPAGE stands for a path. - run: Current run (linked with index of the config for WPT) - filename: Filename of the pcap - fullname: Fullname of the pcap - har_size: Size of the HAR for this experiment, - pagedata_size: Size of the page data report - pcap_size: Size of the pcap - App Byte Index (ms): Application Byte Index as computed from the har file (in the browser) - bytesIn_APP: Total bytes in as seen in the browser, - bytesIn_NET: Total bytes in as seen in the network, - X_BI_net: Network Byte Index computed from the pcap file (in the network) - X_bin_0_for_B_completion to X_bin_99_for_B_completion: X_bin_k_for_B_completion is the bytes progress reached after k*100 millisecondsIf you use these datasets in your research, you can reference to the appropriate paper:@inproceedings{qoeNetworking2020, title={Revealing QoE of Web Users from Encrypted Network Traffic}, author={Huet, Alexis and Saverimoutou, Antoine and Ben Houidi, Zied and Shi, Hao and Cai, Shengming and Xu, Jinchun and Mathieu, Bertrand and Rossi, Dario}, booktitle={2020 IFIP Networking Conference (IFIP Networking)}, year={2020}, organization={IEEE}}

aliexpress.com is ranked #18 in KR with 765.79M Traffic. Categories: Retail, Online Services. Learn more about website traffic, market share, and more!

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.

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.

amazon.in is ranked #7 in IN with 237.37M Traffic. Categories: Retail, Online Services. Learn more about website traffic, market share, and more!

Visitor Management Software Market Outlook

The global Visitor Management Software Market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 3.8 billion by 2032, exhibiting a CAGR of 13.5% during the forecast period. This remarkable growth is driven by the increasing demand for secure, efficient, and streamlined visitor management systems across various industries, coupled with technological advancements in software solutions.

One of the primary growth factors for the Visitor Management Software Market is the rising emphasis on security and compliance across different sectors. Organizations are increasingly recognizing the importance of monitoring and managing visitor access to enhance security protocols and ensure compliance with regulatory requirements. This is particularly evident in sectors like healthcare, corporate offices, and government facilities where stringent security norms are imperative. The increasing incidences of unauthorized access and data breaches further accentuate the demand for robust visitor management solutions.

Additionally, the integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) into visitor management systems is significantly contributing to market growth. These technological advancements enable more efficient and accurate visitor tracking, enhance user experience through touchless and automated check-ins, and provide real-time data and analytics for better decision-making. The evolving technological landscape is fostering innovation and offering new opportunities for market players to develop sophisticated and user-friendly software solutions.

Another critical factor driving market growth is the increasing adoption of cloud-based solutions. Cloud-based visitor management software offers numerous benefits such as reduced IT infrastructure costs, scalability, easy accessibility, and seamless integration with other systems. These advantages are particularly appealing to small and medium enterprises (SMEs) that may have budget constraints but require efficient visitor management solutions. The shift towards digital transformation and the growing preference for Software-as-a-Service (SaaS) models are further accelerating the adoption of cloud-based visitor management systems.

From a regional perspective, North America is expected to dominate the Visitor Management Software Market due to the early adoption of advanced technologies, the presence of prominent market players, and stringent regulatory norms concerning security and data protection. The Asia Pacific region is also anticipated to witness substantial growth during the forecast period, driven by the increasing investments in smart infrastructure, rapid urbanization, and the growing awareness of security solutions in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, albeit at varying CAGR levels.

In the realm of visitor management, the implementation of a Website Visitor Tracking Tool is becoming increasingly significant. This tool allows organizations to monitor and analyze the behavior of visitors on their websites, providing valuable insights into visitor preferences and interactions. By leveraging this data, businesses can enhance their online presence, tailor their marketing strategies, and improve user engagement. The integration of such tracking tools with visitor management systems offers a comprehensive approach to managing both physical and digital visitor interactions, thereby enhancing overall security and operational efficiency. As organizations continue to prioritize digital transformation, the adoption of website visitor tracking tools is expected to rise, further driving the growth of the visitor management software market.

Component Analysis

The Visitor Management Software Market is segmented into two main components: Software and Services. The software component constitutes the core of visitor management systems, offering functionalities such as visitor registration, badge printing, visitor tracking, and reporting. The demand for sophisticated and feature-rich software solutions is on the rise as organizations seek to enhance their security measures and streamline visitor management processes. The software segment is expected to hold the largest market share during the forecast period, driven by continuous advancements in technology and the

In March 2024, close to 4.4 billion unique global visitors had visited Wikipedia.org, slightly down from 4.4 billion visitors since August of the same year. Wikipedia is a free online encyclopedia with articles generated by volunteers worldwide. The platform is hosted by the Wikimedia Foundation.

Monthly visits to the Ile-de-France Region website, www.iledefrance.fr since January 2016:

• unique visitors,
• visits,
• page views.
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The global visitor management system (VMS) market is set to experience substantial growth, reaching a valuation of USD 1.8 billion in 2025 and being worth USD 6.9 billion by 2035. This significant expansion represents a strong CAGR of 11.7% during the forecast period.

Analyzing Visitor Management System Market by Top Investment Segments

Contracts & Deals Analysis

Country-wise Insights

The dataset contains information, divided by month, on accesses made to the online services offered by the institutional 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.

Web Performance Testing Market size was valued at USD 3.22 Billion in 2024 and is projected to reach USD 8.14 Billion by 2031, growing at a CAGR of 8.72% during the forecast period 2024-2031.

Global Web Performance Testing Market Drivers

The market drivers for the Web Performance Testing Market can be influenced by various factors. These may include:

Increased Internet and Mobile Usage: The proliferation of internet users globally and the surge in mobile device usage means that more people are accessing websites and web applications through various devices and networks. This diversity necessitates robust performance testing to ensure a consistent user experience across all platforms. Rising E-commerce and Online Services: The growth of e-commerce and online services demands that websites perform optimally at all times. Slow load times or downtime can directly translate to lost revenue and poor customer satisfaction. Hence, businesses must continuously test and optimize their web performance to remain competitive. User Experience (UX) Focus: Companies are increasingly prioritizing user experience as a key differentiator. A smooth, responsive, and fast website is essential for retaining visitors and enhancing user satisfaction. Performance testing helps in identifying and resolving issues that could hinder UX. SEO and Digital Marketing: Search engines like Google consider page load times and overall web performance as critical factors in their ranking algorithms. Websites that load faster are more likely to rank higher, driving organic traffic and improving visibility. Performance testing ensures websites meet these criteria. Complex Web Applications: Modern web applications often involve complex interactions, real-time updates, and integrations with other services. Ensuring these applications function correctly under various conditions requires comprehensive performance testing. Regulatory Requirements: Several industries are subject to regulatory requirements that mandate specific performance standards for websites, particularly for accessibility and user data protection. Compliance necessitates regular performance testing. Competitive Pressure: In a crowded digital marketplace, even minor performance improvements can provide a competitive edge. Companies invest in performance testing to stay ahead of or keep up with competitors. Technology Advancements: Innovations in web technologies (like Progressive Web Apps, Single Page Applications, etc.) necessitate new and improved testing methodologies. The adoption of these new technologies requires businesses to adapt and enhance their performance testing strategies. Cloud Adoption: The increasing use of cloud services and decentralized architectures facilitates scalability but also introduces performance variability. Cloud-based web performance testing tools are essential to monitor and optimize performance in such environments. Customer Expectations: The modern consumer expects instantaneous access to information and services. Even slight delays can result in frustration and abandonment. Meeting these heightened customer expectations is a major driver for continuous web performance testing. A/B Testing and Optimization: Businesses frequently use A/B testing to optimize website elements for conversion improvements. Performance testing ensures that these optimizations do not negatively impact load times or responsiveness. Emerging Markets and Global Reach: As businesses expand globally, they must ensure their websites perform well across different geographies, which may have varied network conditions and device usage patterns. Performance testing is crucial for maintaining a global online presence.

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.

itch.io is ranked #280 in US with 107.13M Traffic. Categories: Computer and Video Games, Online Services. Learn more about website traffic, market share, and more!

95%-CI: 95% confidence interval; GP: general practitionerSelf-reported satisfaction and applicability of the genetics website by general visitors and by GPs only.