56 datasets found
  1. d

    Website Analytics

    • catalog.data.gov
    • data.brla.gov
    • +2more
    Updated Mar 22, 2025
    + more versions
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    data.brla.gov (2025). Website Analytics [Dataset]. https://catalog.data.gov/dataset/website-analytics-89ba5
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.brla.gov
    Description

    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.

  2. Share of global mobile website traffic 2015-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 28, 2025
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    Statista (2025). Share of global mobile website traffic 2015-2024 [Dataset]. https://www.statista.com/statistics/277125/share-of-website-traffic-coming-from-mobile-devices/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  3. W

    Website Visitor Tracking Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 5, 2025
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    Market Research Forecast (2025). Website Visitor Tracking Software Report [Dataset]. https://www.marketresearchforecast.com/reports/website-visitor-tracking-software-27553
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global website visitor tracking software market is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, estimated at $5 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled by several key factors, including the rising adoption of digital marketing strategies, the growing importance of data-driven decision-making, and the increasing sophistication of website visitor tracking tools. Cloud-based solutions dominate the market due to their scalability, accessibility, and cost-effectiveness, particularly appealing to Small and Medium-sized Enterprises (SMEs). However, large enterprises continue to invest significantly in on-premise solutions for enhanced data security and control. The market is highly competitive, with numerous established players and emerging startups offering a range of features and functionalities. Technological advancements, such as AI-powered analytics and enhanced integration with other marketing tools, are shaping the future of the market. The market's geographical distribution reflects the global digital landscape. North America, with its mature digital economy and high adoption rates, holds a significant market share. However, regions like Asia-Pacific are showing rapid growth, driven by increasing internet penetration and digitalization across various industries. Despite the overall positive outlook, challenges such as data privacy regulations and the increasing complexity of website tracking technology are influencing market dynamics. The ongoing competition among vendors necessitates continuous innovation and the development of more user-friendly and insightful tools. The future growth of the website visitor tracking software market is promising, fueled by the continuing importance of data-driven decision-making within marketing and business strategies. A key factor will be the ongoing adaptation to evolving privacy regulations and user expectations.

  4. Global share of human and bot web traffic 2013-2023

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Global share of human and bot web traffic 2013-2023 [Dataset]. https://www.statista.com/statistics/1264226/human-and-bot-web-traffic-share/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, most of the global website traffic was still generated by humans but bot traffic is constantly growing. Fraudulent traffic through bad bot actors accounted for 32 percent of global web traffic in the most recently measured period, representing an increase of 1.8 percent from the previous year. Sophistication of Bad Bots on the rise The complexity of malicious bot activity has dramatically increased in recent years. Advanced bad bots have doubled in prevalence over the past two years, indicating a surge in the sophistication of cyber threats. Simultaneously, simple bad bots saw a 6 percent increase compared to the previous year, suggesting a shift in the landscape of automated threats. Meanwhile, areas like entertainment, and law & government face the highest amount of advanced bad bots, with more than 78 percent of their bot traffic affected by evasive applications. Good and bad bots across industries The impact of bot traffic varies across different sectors. Bad bots accounted for over 57.2 percent of the gaming segment's web traffic. Meanwhile, almost half of the online traffic for telecom and ISPs was moved by malicious applications. However, not all bot traffic is considered bad. Some of these applications help index websites for search engines or monitor website performance, assisting users throughout their online search. Therefore, areas like entertainment, food and groceries, and financial services experienced notable levels of good bot traffic, demonstrating the diverse applications of benign automated systems across different sectors.

  5. Austin Google Analytics

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Austin Google Analytics [Dataset]. https://www.johnsnowlabs.com/marketplace/austin-google-analytics/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    Austin
    Description

    This dataset provides the Austin Google Analytic. Google Analytics is a freemium web analytics service offered by Google that tracks and reports website traffic.

  6. Google Analytics Sample

    • kaggle.com
    zip
    Updated Sep 19, 2019
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    Google BigQuery (2019). Google Analytics Sample [Dataset]. https://www.kaggle.com/datasets/bigquery/google-analytics-sample
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    zip(0 bytes)Available download formats
    Dataset updated
    Sep 19, 2019
    Dataset provided by
    BigQueryhttps://cloud.google.com/bigquery
    Googlehttp://google.com/
    Authors
    Google BigQuery
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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?

  7. C

    Competitive Analysis of Industry Rivals Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 21, 2025
    + more versions
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    AMA Research & Media LLP (2025). Competitive Analysis of Industry Rivals Report [Dataset]. https://www.archivemarketresearch.com/reports/competitive-analysis-of-industry-rivals-38541
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    AMA Research & Media LLP
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Competitive Analysis of Industry Rivals The market for competitive analysis is expected to grow significantly over the forecast period, driven by increasing need for businesses to understand their competitive landscape. Key players in the market include BuiltWith, WooRank, SEMrush, Google, SpyFu, Owletter, SimilarWeb, Moz, SunTec Data, and TrendSource. These companies offer a range of services to help businesses track their competitors' online performance, including website traffic, social media engagement, and search engine rankings. Some of the key trends driving the growth of the market include the increasing adoption of digital marketing by businesses, the growing importance of social media, and the increasing availability of data and analytics tools. The market is segmented by type, application, and region. In terms of type, the market is divided into product analysis, traffic analytics, sales analytics, and others. In terms of application, the market is divided into SMEs and large enterprises. In terms of region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. The North American region is expected to dominate the market during the forecast period, due to the presence of a large number of established players in the market. The Asia Pacific region is expected to grow at the highest CAGR during the forecast period, due to the increasing adoption of digital marketing by businesses in the region. This report provides a comprehensive analysis of the industry rivals, encompassing their concentration, product insights, regional trends, and key industry developments.

  8. d

    Click Global Data | Web Traffic Data + Transaction Data | Consumer and B2B...

    • datarade.ai
    .csv
    Updated Mar 13, 2025
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    Consumer Edge (2025). Click Global Data | Web Traffic Data + Transaction Data | Consumer and B2B Shopper Insights | 59 Countries, 3-Day Lag, Daily Delivery [Dataset]. https://datarade.ai/data-products/click-global-data-web-traffic-data-transaction-data-con-consumer-edge
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Consumer Edge
    Area covered
    Marshall Islands, Bermuda, Congo, Finland, Sri Lanka, South Africa, El Salvador, Nauru, Montserrat, Bosnia and Herzegovina
    Description

    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

  9. d

    Chicago Traffic Tracker - Congestion Estimates by Segments

    • catalog.data.gov
    • data.cityofchicago.org
    Updated Mar 22, 2025
    + more versions
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    data.cityofchicago.org (2025). Chicago Traffic Tracker - Congestion Estimates by Segments [Dataset]. https://catalog.data.gov/dataset/chicago-traffic-tracker-congestion-estimates-by-segments
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.cityofchicago.org
    Area covered
    Chicago
    Description

    This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads. For a more detailed description, please go to https://tas.chicago.gov, click the About button at the bottom of the page, and then the MAP LAYERS tab. The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (nonfreeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every ten minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimate by traffic segments gives the observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area). This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads. There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions.

  10. v

    Web Analytics Market By Solution (Search Engine Tracking & Ranking, Heat Map...

    • verifiedmarketresearch.com
    Updated Nov 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Web Analytics Market By Solution (Search Engine Tracking & Ranking, Heat Map Analytics), Application (Social Media Management, Display Advertising Optimization), Vertical (Baking, Financial Services and Insurance (BFSI), Retail), And Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/web-analytics-market/
    Explore at:
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Web Analytics Market Valuation – 2024-2031

    Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2031, growing at a CAGR of 18.58% from 2024 to 2031.

    Web Analytics Market Drivers

    Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

    E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

    Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

    Web Analytics Market Restraints

    Data Privacy and Security Concerns: As data privacy regulations become stricter, businesses must ensure that they collect and process user data ethically and securely.

    Complex Web Analytics Tools: Some web analytics tools can be complex to implement and use, requiring technical expertise.

  11. w

    Global Website Visitor Tracking Software Market Research Report: By...

    • wiseguyreports.com
    Updated Aug 10, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Website Visitor Tracking Software Market Research Report: By Deployment Type (On-Premise, Cloud), By Usage (Traffic Analysis, Lead Generation, Ad Campaign Optimization, User Experience Measurement, Customer Segmentation), By Industry Vertical (Retail and Ecommerce, Automotive, Healthcare, Media and Entertainment, Education), By Organization Size (Large Enterprises, Small and Medium-sized Businesses) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/cn/reports/website-visitor-tracking-software-market
    Explore at:
    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20233.07(USD Billion)
    MARKET SIZE 20243.51(USD Billion)
    MARKET SIZE 203210.2(USD Billion)
    SEGMENTS COVEREDDeployment Type ,Usage ,Industry Vertical ,Organization Size ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSRising demand for personalized customer experiences Growing adoption of digital marketing channels Increasing focus on data privacy and compliance Advancements in artificial intelligence and machine learning Emergence of new technologies such as headless CMS and serverside tagging
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDClicky ,Smartlook ,Google Analytics ,Crazy Egg ,Quantum Metric ,PIWIK PRO ,Woopra ,AT Internet ,Inspectlet ,Kissmetrics ,Mouseflow ,Matomo ,Hotjar ,Mixpanel ,SessionStack
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESAIpowered analytics Mobile optimization Integration with CRM systems Predictive analytics Realtime insights
    COMPOUND ANNUAL GROWTH RATE (CAGR) 14.27% (2025 - 2032)
  12. World Traffic Map

    • hub.arcgis.com
    • keep-cool-global-community.hub.arcgis.com
    • +2more
    Updated Dec 13, 2012
    + more versions
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    Esri (2012). World Traffic Map [Dataset]. https://hub.arcgis.com/maps/esri::world-traffic-map/about
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    Dataset updated
    Dec 13, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

  13. Share of web traffic to craigslist.com in North America in January 2024

    • statista.com
    Updated Mar 7, 2024
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    Statista (2024). Share of web traffic to craigslist.com in North America in January 2024 [Dataset]. https://www.statista.com/statistics/1455366/distribution-web-traffic-craigslist-north-america/
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    North America
    Description

    In January 2024, craigslist.com users preferred to use their mobile devices. In all North American countries, mobile devices had over 60 percent of web traffic to the site.

  14. d

    Jefferson County KY Traffic Web Cameras

    • catalog.data.gov
    • data.louisvilleky.gov
    • +5more
    Updated Apr 13, 2023
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    Louisville/Jefferson County Information Consortium (2023). Jefferson County KY Traffic Web Cameras [Dataset]. https://catalog.data.gov/dataset/jefferson-county-ky-traffic-web-cameras-2b335
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    Dataset updated
    Apr 13, 2023
    Dataset provided by
    Louisville/Jefferson County Information Consortium
    Area covered
    Kentucky, Jefferson County
    Description

    TRIMARC (Traffic Response and Incident Management Assisting the River City) camera locations in Louisville Metro Kentucky. This feature layer was created from a TRIMARC JSON files of camera locations. This item includes description, direction, and videos links and is used in the Louisville Metro Snow Map. The cameras are used to monitor the roadways and verify incidents to assist in freeway and incident management This feature is a static extract and will be reviewed before each snow season for updates. For more information on this feature layer and it's use please contact Louisville Metro GIS or LOJIC. To learn more about TRIMARC please visit the following website http://www.trimarc.org.

  15. Total global visitor traffic to Reddit.com 2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). Total global visitor traffic to Reddit.com 2024 [Dataset]. https://www.statista.com/statistics/443332/reddit-monthly-visitors/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    Worldwide
    Description

    Reddit is a web traffic powerhouse: in March 2024 approximately 2.2 billion visits were measured to the online forum, making it one of the most-visited websites online. The front page of the internet Formerly known as “the front page of the internet”, Reddit is an online forum platform with over 130,000 sub-forums and communities. The platform allows registered users, called Redditors, to post content. Each post is open to the entire Reddit community to vote upon, either by down- or upvotes. The most popular posts are featured directly on the front page. Subreddits are available by category and Redditors can follow selected subreddits relevant to their interest and also control what content they see on their custom front page. Some of the most popular subreddits are r/AskReddit or r/AMA – the “Ask Me Anything” format. According to the company, Reddit hosted 1,800 AMAs in 2018, with a wide range of topics and hosts. One of the most popular Reddit AMA of 2022 by number of upvotes was by actor Nicolas Cagem with more than 238.5 thousand upvotes. Reddit usage The United States account for the biggest share of Reddit's desktop traffic, followed by the UK, and Canada. As of March 2023, Reddit ranked among the most popular social media websites in the United States.

  16. Total global visitor traffic to Wikipedia.org 2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). Total global visitor traffic to Wikipedia.org 2024 [Dataset]. https://www.statista.com/statistics/1259907/wikipedia-website-traffic/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    World
    Description

    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.

  17. m

    Enterprise Website Analytics Software Market Size, Share & Trends [2031]

    • marketresearchintellect.com
    Updated Mar 15, 2025
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    Market Research Intellect (2025). Enterprise Website Analytics Software Market Size, Share & Trends [2031] [Dataset]. https://www.marketresearchintellect.com/product/global-enterprise-website-analytics-software-market-size-and-forecast/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The size and share of the market is categorized based on Type (Web Traffic Analytics, Conversion Analytics, User Behavior Analytics, SEO Analytics) and Application (Website Optimization, Marketing Performance, User Experience, Sales Tracking) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

  18. A web tracking data set of online browsing behavior of 2,148 users

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip, txt +1
    Updated May 14, 2021
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    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner (2021). A web tracking data set of online browsing behavior of 2,148 users [Dataset]. http://doi.org/10.5281/zenodo.4757574
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    zip, txt, application/gzipAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.

    We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.

    The data set is analyzed in the following paper:

    • Kulshrestha, J., Oliveira, M., Karacalik, O., Bonnay, D., Wagner, C. "Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data." Proceedings of the International AAAI Conference on Web and Social Media. 2021. https://arxiv.org/abs/2012.15112.

    The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.

    If you use data or code from this repository, please cite the paper above and the Zenodo link.

  19. a

    KYTC - Traffic Counts

    • gis-bradd-ky.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Oct 29, 2019
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    Kentucky Transportation Cabinet (2019). KYTC - Traffic Counts [Dataset]. https://gis-bradd-ky.opendata.arcgis.com/maps/6e5a095d5be94db2890af19df0d039c1
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    Dataset updated
    Oct 29, 2019
    Dataset authored and provided by
    Kentucky Transportation Cabinet
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This map service provides access to spatial data showing the locations of traffic count stations across Kentucky along with the most current Average Annual Daily Traffic (AADT) reports for each site and/or section. Traffic volume data is collected by state highway agencies through both temporary and continuous traffic counting programs.Continuous count data is reported monthly to the Federal Highway Administration (FHWA) to help monitor and manage roadway usage.

  20. Data from: Improving the efficacy of web-based educational outreach in...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    csv, txt
    Updated Jun 1, 2022
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    Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta; Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta (2022). Data from: Improving the efficacy of web-based educational outreach in ecology [Dataset]. http://doi.org/10.5061/dryad.94nk8
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    csv, txtAvailable download formats
    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta; Gregory R. Goldsmith; Andrew D. Fulton; Colin D. Witherill; Javier F. Espeleta
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Scientists are increasingly engaging the web to provide formal and informal science education opportunities. Despite the prolific growth of web-based resources, systematic evaluation and assessment of their efficacy remains limited. We used clickstream analytics, a widely available method for tracking website visitors and their behavior, to evaluate >60,000 visits over three years to an educational website focused on ecology. Visits originating from search engine queries were a small proportion of the traffic, suggesting the need to actively promote websites to drive visitation. However, the number of visits referred to the website per social media post varied depending on the social media platform and the quality of those visits (e.g., time on site and number of pages viewed) was significantly lower than visits originating from other referring websites. In particular, visitors referred to the website through targeted promotion (e.g., inclusion in a website listing classroom teaching resources) had higher quality visits. Once engaged in the site's core content, visitor retention was high; however, visitors rarely used the tutorial resources that serve to explain the site's use. Our results demonstrate that simple changes in website design, content and promotion are likely to increase the number of visitors and their engagement. While there is a growing emphasis on using the web to broaden the impacts of biological research, time and resources remain limited. Clickstream analytics provides an easily accessible, relatively fast and quantitative means by which those engaging in educational outreach can improve upon their efforts.

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data.brla.gov (2025). Website Analytics [Dataset]. https://catalog.data.gov/dataset/website-analytics-89ba5

Website Analytics

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Dataset updated
Mar 22, 2025
Dataset provided by
data.brla.gov
Description

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.

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