100+ datasets found
  1. g

    Website Traffic Dataset

    • gts.ai
    json
    Updated Aug 23, 2024
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    GTS (2024). Website Traffic Dataset [Dataset]. https://gts.ai/dataset-download/website-traffic-dataset/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 23, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

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

    Description

    Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.

  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/
    Explore at:
    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. d

    Traffic Continuum from Solution Publishing |500M+ US Web Traffic Data...

    • datarade.ai
    .csv, .xls
    Updated Feb 22, 2024
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    Solution Publishing (2024). Traffic Continuum from Solution Publishing |500M+ US Web Traffic Data Resolution | B2B B2C Website Visitor Identity Resolution | Web Traffic Data [Dataset]. https://datarade.ai/data-products/traffic-continuum-from-solution-publishing-500m-us-web-traf-solution-publishing
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    Solution Publishing
    Area covered
    United States
    Description

    Unlock the Potential of Your Web Traffic with Advanced Data Resolution

    In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

    Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

    Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

    Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

    Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

    Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

    Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

    Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

    How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

    Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

    Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

    Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

    Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

    Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

    Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

  4. Number of page views per web session 2022, by vertical & device

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Number of page views per web session 2022, by vertical & device [Dataset]. https://www.statista.com/statistics/1106552/number-of-visits-website-before-checkout/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Websites in the energy, utilities, and construction sector averaged the largest amount of visits per online session worldwide. In the fourth quarter of 2022, desktop users in that segment visited around seven pages per online session. Travel and hospitality ranked second, with an average of almost six pages visited. In terms of mobile users, travel and hospitality registered the highest number of page views, followed by retail.

  5. a

    Traffic Site

    • hub.arcgis.com
    Updated Sep 9, 2021
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    Hamilton City Council (2021). Traffic Site [Dataset]. https://hub.arcgis.com/maps/hcc::traffic-site
    Explore at:
    Dataset updated
    Sep 9, 2021
    Dataset authored and provided by
    Hamilton City Council
    License

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

    Description

    Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites

    Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates

    Relationship
    
    
    
    
    
    
    
    
    
    Disclaimer
    
    Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.
    
    Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.
    
    While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:
    
    ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'
    
  6. Total global visitor traffic to Google.com 2024

    • statista.com
    Updated Jan 22, 2025
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    Statista (2025). Total global visitor traffic to Google.com 2024 [Dataset]. https://www.statista.com/statistics/268252/web-visitor-traffic-to-googlecom/
    Explore at:
    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    Worldwide
    Description

    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.

  7. 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
    Explore at:
    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?

  8. TrueCar quarterly website traffic 2020-2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Dec 13, 2023
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    TrueCar quarterly website traffic 2020-2023 [Dataset]. https://www.statista.com/statistics/1327898/truecar-quarterly-website-traffic-unique-visitors/
    Explore at:
    Dataset updated
    Dec 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    TrueCar is a marketplace and e-commerce site which provides new and used car buyers with pricing and information related to the car buying experience. In the second quarter of 2021, the company recorded 9.6 million average monthly unique visitors to its site, the most of any quarter listed. Since then, quarterly website traffic has been declining, reaching 8.1 million unique visitors in the most recent quarter.

  9. O

    Website Analytics

    • data.brla.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Mar 18, 2025
    + more versions
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    Information Services (2025). Website Analytics [Dataset]. https://data.brla.gov/widgets/n9u7-h9i7
    Explore at:
    csv, xml, application/rssxml, json, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Information Services
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    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.

  10. 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, Congo, Bermuda, Sri Lanka, South Africa, Bosnia and Herzegovina, Finland, El Salvador, Montserrat, Nauru
    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

  11. Share of visits to the travel website booking.com worldwide 2025, by country...

    • flwrdeptvarieties.store
    • statista.com
    Updated Mar 18, 2025
    + more versions
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    Statista Research Department (2025). Share of visits to the travel website booking.com worldwide 2025, by country [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F87036%2Fdigitalization-of-the-travel-industry%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
    Explore at:
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In February 2025, the United States accounted for the highest share of visits to the travel and tourism website booking.com. During that month, website visits from the U.S. represented almost 10 percent of total visits to Booking's web page. In 2025, booking.com was the most visited travel and tourism website worldwide.

  12. O

    Website PageView Statistics

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Aug 11, 2023
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    Public Information and Communications (2023). Website PageView Statistics [Dataset]. https://data.mesaaz.gov/Public-Information-Office/Website-PageView-Statistics/8hb5-3pbs
    Explore at:
    application/rdfxml, csv, xml, tsv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset authored and provided by
    Public Information and Communications
    Description

    Web analytics for mesaaz.gov and mesanow.org

  13. Leading websites worldwide 2024, by monthly visits

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 24, 2025
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    Statista (2025). Leading websites worldwide 2024, by monthly visits [Dataset]. https://www.statista.com/statistics/1201880/most-visited-websites-worldwide/
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    World
    Description

    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.

  14. O

    Site Analytics: Asset Access Derived View

    • opendata.usac.org
    application/rdfxml +5
    Updated Mar 17, 2025
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    (2025). Site Analytics: Asset Access Derived View [Dataset]. https://opendata.usac.org/dataset/Site-Analytics-Asset-Access-Derived-View/gchg-x5ee
    Explore at:
    application/rdfxml, xml, tsv, csv, json, application/rssxmlAvailable download formats
    Dataset updated
    Mar 17, 2025
    Description

    This dataset includes data on how all datasets, stories and derived views (tabular views, visualizations and measures) on a domain are being accessed by users.

    The following usage types are included in the Access Type column:
    • grid view
    • primer page view
    • download
    • api read access
    • story page view
    • visualization page view
    • measure page view
    Usage data are segmented into the following user types:
    • site member: users who have logged in and have been granted a role on the domain
    • community user: users who have logged in but do not have a role on the domain
    • anonymous: users who have not logged in to the domain

    Data are updated by a system process at least once a day.

    Please see Site Analytics: Asset Access for more detail.

  15. Share of visits to the travel website tripadvisor.com worldwide 2025, by...

    • flwrdeptvarieties.store
    • statista.com
    Updated Mar 18, 2025
    + more versions
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    Statista Research Department (2025). Share of visits to the travel website tripadvisor.com worldwide 2025, by country [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F87036%2Fdigitalization-of-the-travel-industry%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
    Explore at:
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In January 2025, most visits to the travel and tourism website tripadvisor.com came from the United States. During that month, website visits from the U.S. accounted for almost 48 percent of total visits to Tripadvisor's web page. In 2025, tripadvisor.com was one of the most visited travel and tourism websites worldwide.

  16. d

    BIGDBM Website Visits Data With Industry/Context Categorization - Training...

    • datarade.ai
    .json, .csv, .txt
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    BIGDBM, BIGDBM Website Visits Data With Industry/Context Categorization - Training Set for ML and AI [Dataset]. https://datarade.ai/data-products/bigdbm-website-visits-data-with-industry-context-categorizati-bigdbm
    Explore at:
    .json, .csv, .txtAvailable download formats
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States of America
    Description

    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.

  17. z

    Traffic Site - Dataset - data.govt.nz - discover and use data

    • portal.zero.govt.nz
    Updated Jan 31, 2024
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    portal.zero.govt.nz (2024). Traffic Site - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/traffic-site1
    Explore at:
    Dataset updated
    Jan 31, 2024
    License

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

    Description

    Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates Relationship Disclaimer Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works. Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data. While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data: ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

  18. 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
    Explore at:
    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.

  19. Share of U.S. mobile website traffic 2015-2023

    • statista.com
    Updated Mar 25, 2024
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    Statista (2024). Share of U.S. mobile website traffic 2015-2023 [Dataset]. https://www.statista.com/statistics/683082/share-of-website-traffic-coming-from-mobile-devices-usa/
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    Dataset updated
    Mar 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of the last quarter of 2023, 31.57 percent of web traffic in the United States originated from mobile devices, down from 49.51 percent in the fourth quarter of 2022. In comparison, over half of web traffic worldwide was generated via mobile in the last examined period.

  20. d

    Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on...

    • datarade.ai
    .json
    Updated Jun 27, 2024
    + more versions
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    PredictLeads (2024). Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 200M+ Records [Dataset]. https://datarade.ai/data-products/predictleads-web-scraping-data-domain-name-data-business-predictleads
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    PredictLeads
    Area covered
    Nigeria, Svalbard and Jan Mayen, Northern Mariana Islands, Benin, Colombia, Malaysia, Turkmenistan, Curaçao, Burkina Faso, Oman
    Description

    PredictLeads Key Customers Data offers a critical technical resource for B2B operations, focusing on capturing detailed insights about business relationships directly from company websites. By leveraging advanced web scraping technologies and innovative logo data recognition, we provide extensive Domain Name Data, Logo Data, Company Data, and Business Website Data. This dataset is crucial for executing sophisticated Sentiment Analysis, creating a 360-degree Customer View, enhancing Account Profiling, conducting in-depth Company Analysis, and supporting comprehensive Analytics.

    Key Technical Features for B2B Operations:

    ➡️ Advanced Web Scraping and Logo Data Techniques: PredictLeads employs cutting-edge technologies to detect and analyze key customers represented through logos and mentions on business websites, including case studies and partner pages. ➡️ Rich Domain Name and Company Data: Access detailed information on business relationships and company affiliations that are crucial for analyzing market positions and influence. ➡️ Comprehensive Business Website Data: Utilize data gathered from company websites to gain insights into their operational networks, partnerships, and customer relationships.

    Enhancing B2B Strategies with PredictLeads Data:

    ➡️ 360-Degree Customer Views: Develop comprehensive views of your customers by integrating detailed key customers data, revealing not just direct relationships but also extended networks. ➡️ Account Profiling: Enhance your account profiling efforts by using our connections data to understand the breadth and depth of a company's market engagements and partnerships. ➡️ Sentiment Analysis: Apply sentiment analysis techniques to the data collected from business websites and news sources to assess the sentiment surrounding business relationships and market moves. ➡️ Company Analysis: Leverage our detailed company and business website data to perform in-depth analyses of company strategies, growth potential, and market influence. ➡️ Advanced Analytics: Utilize our comprehensive dataset in your B2B data cleansing processes and analytical models to ensure data accuracy and relevancy in your CRM and marketing automation platforms.

    Strategic Technical Applications in B2B:

    ➡️ Informed Decision-Making: Empower your technical teams with data that highlights strategic key customers and market dynamics, enhancing strategic initiatives and business outcomes. ➡️ Enhanced Data Reliability for Technical Operations: Our rigorous data collection and validation processes ensure you work with the most reliable and relevant data, supporting critical assessments and business operations. ➡️ Competitive and Market Analysis: Utilize our comprehensive data to conduct detailed analyses of competitors and market trends, providing a strategic edge in planning and execution.

    Why PredictLeads Key Customers Data is Essential for Technical B2B Teams:

    ✅ Designed for Technical Precision: Our solutions are meticulously crafted to meet the specific needs of technical teams, offering unparalleled depth and applicability. ✅ Up-to-Date and Comprehensive: Continuous updates and broad coverage ensure that our key customers data captures the dynamic nature of global business environments, providing timely and essential insights. ✅ Trusted by Industry Leaders: Recognized for its robust data architecture and precision, PredictLeads is relied upon by technical analysts and data scientists across industries to guide their strategy and operations.

    PredictLeads Key Customers Data is a tool for B2B organizations that rely on deep technical insights to steer their strategic and operational directives. By integrating the key customers data into your systems, you enhance your capacity for informed decision-making, ensuring robust technical operations and strategic advantage in a competitive marketplace.

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Close
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GTS (2024). Website Traffic Dataset [Dataset]. https://gts.ai/dataset-download/website-traffic-dataset/

Website Traffic Dataset

Explore at:
jsonAvailable download formats
Dataset updated
Aug 23, 2024
Dataset provided by
GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
Authors
GTS
License

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

Description

Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.

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