100+ datasets found
  1. d

    Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve...

    • datarade.ai
    .csv
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    VisitIQ™, Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve Website Visitors | Pixel | B2B2C 300 Million records | US [Dataset]. https://datarade.ai/data-products/visitiq-web-traffic-data-cookieless-first-party-opt-in-p-visitiq
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States of America
    Description

    Be ready for a cookieless internet while capturing anonymous website traffic data!

    By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.

    This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

    Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.

    Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.

    Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.

    Check our product that has the most accurate Web Traffic Data for the B2B2C market.

  2. a

    Traffic Site

    • hub.arcgis.com
    • data-waikatolass.opendata.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.'
    
  3. Bolivia: Alexa ranking of leading websites 2022, by daily page views

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bolivia
    Description

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

  4. Share of global mobile website traffic 2015-2024

    • statista.com
    • usproadvisor.net
    • +1more
    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.

  5. Total global visitor traffic to Google.com 2024

    • statista.com
    • ai-chatbox.pro
    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/
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    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.

  6. a

    2018 Web Analytics - Page Views Per Day

    • communautaire-esrica-apps.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Apr 3, 2019
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    City of Mississauga (2019). 2018 Web Analytics - Page Views Per Day [Dataset]. https://communautaire-esrica-apps.hub.arcgis.com/datasets/mississauga::2018-web-analytics-page-views-per-day
    Explore at:
    Dataset updated
    Apr 3, 2019
    Dataset authored and provided by
    City of Mississauga
    License

    http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf

    Description

    This dataset displays the number of page views each day in 2018 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.

  7. m

    2016 Web Analytics - Page Views Per Day

    • data.mississauga.ca
    • hub.arcgis.com
    • +1more
    Updated Feb 14, 2018
    + more versions
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    City of Mississauga (2018). 2016 Web Analytics - Page Views Per Day [Dataset]. https://data.mississauga.ca/datasets/2016-web-analytics-page-views-per-day
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    City of Mississauga
    License

    http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf

    Description

    This dataset displays the number of page views each day in 2016 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.

  8. s

    Data from: Traffic Volumes

    • data.sandiego.gov
    Updated Jul 29, 2016
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    (2016). Traffic Volumes [Dataset]. https://data.sandiego.gov/datasets/traffic-volumes/
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    csv csv is tabular data. excel, google docs, libreoffice calc or any plain text editor will open files with this format. learn moreAvailable download formats
    Dataset updated
    Jul 29, 2016
    Description

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

  9. m

    2017 Web Analytics - Page Views Per Day

    • data.mississauga.ca
    • communautaire-esrica-apps.hub.arcgis.com
    • +1more
    Updated Feb 15, 2018
    + more versions
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    City of Mississauga (2018). 2017 Web Analytics - Page Views Per Day [Dataset]. https://data.mississauga.ca/datasets/2017-web-analytics-page-views-per-day
    Explore at:
    Dataset updated
    Feb 15, 2018
    Dataset authored and provided by
    City of Mississauga
    License

    http://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdfhttp://www5.mississauga.ca/research_catalogue/CityofMississauga_TermsofUse.pdf

    Description

    This dataset displays the number of page views each day in 2017 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.

  10. Leading websites worldwide 2024, by monthly visits

    • statista.com
    • ai-chatbox.pro
    • +21more
    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/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Worldwide
    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.

  11. d

    Business Website Visits Data | USA Coverage | Industry/Context...

    • datarade.ai
    .json, .csv, .txt
    Updated Jan 7, 2024
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    BIGDBM (2024). Business Website Visits Data | USA Coverage | Industry/Context Categorisation - 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 updated
    Jan 7, 2024
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    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.

  12. a

    Traffic Counts

    • hub.arcgis.com
    • wsoic.cityofws.org
    Updated Oct 17, 2017
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    cows_admin (2017). Traffic Counts [Dataset]. https://hub.arcgis.com/datasets/af7ab9ab7989417693d2158ddd5197bc
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    Dataset updated
    Oct 17, 2017
    Dataset authored and provided by
    cows_admin
    Area covered
    Description

    With more than 44,000 Portable Traffic Count (PTC) Stations located throughout North Carolina, Traffic Survey has adopted a collection schedule. Please see our website: https://www.ncdot.gov/projects/trafficsurvey/for further details. The data in this file was digitized referencing the available NCDOT Linear Referencing System (LRS) and is not the result of using GPS equipment in the field, nor latitude and longitude coordinates. The referencing provided is based on the 2015 Quarter 1 publication of the NCDOT Linear Referencing System (LRS). Some differences will be found when using different quarterly publications with this data set. The data provided is seasonally factored to an estimate of an annual average of daily traffic. The statistics provided are: CVRG_VLM_I: Traffic Survey's seven digit unique station identifier COUNTY: County NameROUTE: Numbered route identifier, or local name if not State maintainedLOCATION: Description of the Annual Average Daily Traffic station location AADT_2015: Estimated Annual Average Daily Traffic in vehicles per day for 2015AADT_2014: Estimated Annual Average Daily Traffic in vehicles per day for 2014AADT_2013: Estimated Annual Average Daily Traffic in vehicles per day for 2013 AADT_2012: Estimated Annual Average Daily Traffic in vehicles per day for 2012 AADT_2011: Estimated Annual Average Daily Traffic in vehicles per day for 2011 AADT_2010: Estimated Annual Average Daily Traffic in vehicles per day for 2010 AADT_2009: Estimated Annual Average Daily Traffic in vehicles per day for 2009 AADT_2008: Estimated Annual Average Daily Traffic in vehicles per day for 2008 AADT_2007: Estimated Annual Average Daily Traffic in vehicles per day for 2007 AADT_2006: Estimated Annual Average Daily Traffic in vehicles per day for 2006 AADT_2005: Estimated Annual Average Daily Traffic in vehicles per day for 2005 AADT_2004: Estimated Annual Average Daily Traffic in vehicles per day for 2004 AADT_2003: Estimated Annual Average Daily Traffic in vehicles per day for 2003 AADT_2002: Estimated Annual Average Daily Traffic in vehicles per day for 2002 Note: A value of zero in the AADT field indicates no available AADT data for that year. Please note the following: Not ALL roads have PTC stations located on them. With the exception of Interstate, NC and US routes, NCDOT County Maps refer to roads using a four digit Secondary Road Number, not a road’s local name. If additional information is needed, or an issue with the data is identified, please contact the Traffic Survey Group at 919 814-5116. Disclaimer related to the spatial accuracy of this file: Data in this file was digitized referencing the available NCDOT GIS Data Layer, LRS Arcs Shapefile Format from Quarter 1 release and is not the result of using GPS equipment in the field.North Carolina Department of Transportation shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of data, and relative positional accuracy of the data. This data cannot be construed to be a legal document.

  13. S

    Fitbit Statistics By Website Traffic, Demographics, Market Share, Country...

    • sci-tech-today.com
    Updated Jun 24, 2025
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    Sci-Tech Today (2025). Fitbit Statistics By Website Traffic, Demographics, Market Share, Country And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/fitbit-statistics-updated/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Fitbit statistics: In today's health-conscious society, monitoring personal wellness metrics has become increasingly important. Fitbit, a leader in wearable technology, offers users detailed insights into their daily activities, sleep patterns, and heart health. On average, Fitbit users take between 10,000 to 18,000 steps per day, aligning with general fitness recommendations.

    Sleep tracking data reveals that users typically achieve about 6.5 hours of sleep each night, accompanied by an average Sleep Score of 77. Regarding cardiovascular health, the average resting heart rate among Fitbit users is approximately 65 beats per minute, with variations influenced by factors such as age and gender. These statistics underscore Fitbit's role in providing users with actionable data to support their health and wellness goals.

    Let's delve into the fascinating insights through Fitbit statistics and explore what they can tell us about the brand’s performance in 2025.

  14. Traffic Volume and Classification in Massachusetts

    • mass.gov
    Updated Sep 18, 2017
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    Massachusetts Department of Transportation (2017). Traffic Volume and Classification in Massachusetts [Dataset]. https://www.mass.gov/traffic-volume-and-classification-in-massachusetts
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    Dataset updated
    Sep 18, 2017
    Dataset authored and provided by
    Massachusetts Department of Transportationhttp://www.massdot.state.ma.us/
    Area covered
    Massachusetts
    Description

    A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

  15. Annual Average Daily Traffic TDA

    • gis-fdot.opendata.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated Jul 21, 2017
    + more versions
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    Florida Department of Transportation (2017). Annual Average Daily Traffic TDA [Dataset]. https://gis-fdot.opendata.arcgis.com/datasets/annual-average-daily-traffic-tda
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    Dataset updated
    Jul 21, 2017
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Area covered
    Description

    The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 06/14/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt.zip

  16. M

    Annual Average Daily Traffic Locations in Minnesota

    • gisdata.mn.gov
    fgdb, gpkg, html +3
    Updated Jul 3, 2025
    + more versions
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    Transportation Department (2025). Annual Average Daily Traffic Locations in Minnesota [Dataset]. https://gisdata.mn.gov/dataset/trans-aadt-traffic-count-locs
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    shp, html, jpeg, webapp, gpkg, fgdbAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    Transportation Department
    Area covered
    Minnesota
    Description

    AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

    Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.


    Link to ESRI Feature Service:

    Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations


  17. Total global visitor traffic to Walmart.com 2023

    • statista.com
    Updated Mar 24, 2025
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    Total global visitor traffic to Walmart.com 2023 [Dataset]. https://www.statista.com/statistics/714568/web-visits-to-walmartcom/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Dec 2023
    Area covered
    Worldwide
    Description

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

  18. Daily domestic transport use by mode

    • gov.uk
    Updated Jul 9, 2025
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    Department for Transport (2025). Daily domestic transport use by mode [Dataset]. https://www.gov.uk/government/statistics/transport-use-during-the-coronavirus-covid-19-pandemic
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly by emailing transport.statistics@dft.gov.uk with any comments about how we meet these standards.

    These statistics on transport use are published monthly.

    For each day, the Department for Transport (DfT) produces statistics on domestic transport:

    • road traffic in Great Britain
    • rail passenger journeys in Great Britain
    • Transport for London (TfL) tube and bus routes
    • bus travel in Great Britain (excluding London)

    The associated methodology notes set out information on the data sources and methodology used to generate these headline measures.

    From September 2023, these statistics include a second rail usage time series which excludes Elizabeth Line service (and other relevant services that have been replaced by the Elizabeth line) from both the travel week and its equivalent baseline week in 2019. This allows for a more meaningful like-for-like comparison of rail demand across the period because the effects of the Elizabeth Line on rail demand are removed. More information can be found in the methodology document.

    The table below provides the reference of regular statistics collections published by DfT on these topics, with their last and upcoming publication dates.

    ModePublication and linkLatest period covered and next publication
    Road trafficRoad traffic statisticsFull annual data up to December 2024 was published in June 2025.

    Quarterly data up to March 2025 was published June 2025.
    Rail usageThe Office of Rail and Road (ORR) publishes a range of statistics including passenger and freight rail performance and usage. Statistics are available at the https://dataportal.orr.gov.uk/" class="govuk-link">ORR website.

    Statistics for rail passenger numbers and crowding on weekdays in major cities in England and Wales are published by DfT.
    ORR’s latest quarterly rail usage statistics, covering January to March 2025, was published in June 2025.

    DfT’s most recent annual passenger numbers and crowding statistics for 2023 were published in September 2024.
    Bus usageBus statisticsThe most recent annual publication covered the year ending March 2024.

    The most recent quarterly publication covered January to March 2025.
    TfL tube and bus usageData on buses is covered by the section above. https://tfl.gov.uk/status-updates/busiest-times-to-travel" class="govuk-link">Station level business data is available.
    Cycling usageWalking and cycling statistics, England2023 calendar year published in August 2024.
    Cross Modal and journey by purposeNational Travel Survey2023 calendar year data published in August 2024.

  19. pNEUMA Vision Dataset

    • zenodo.org
    zip
    Updated Jan 1, 2023
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    Sohyeong Kim; Georg Anagnostopoulos; Emmanouil Barmpounakis; Nikolas Geroliminis; Sohyeong Kim; Georg Anagnostopoulos; Emmanouil Barmpounakis; Nikolas Geroliminis (2023). pNEUMA Vision Dataset [Dataset]. http://doi.org/10.5281/zenodo.7426506
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sohyeong Kim; Georg Anagnostopoulos; Emmanouil Barmpounakis; Nikolas Geroliminis; Sohyeong Kim; Georg Anagnostopoulos; Emmanouil Barmpounakis; Nikolas Geroliminis
    License

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

    Description

    The pNEUMA Vision dataset is the drone traffic imagery dataset that contains images of frame and vehicle annotations as positions. This dataset is the expansion of the pNEUMA, the urban trajectory dataset collected by swarms of drones in Athens.

    For more details about pNEUMA and pNEUMA Vision, please check our website at https://open-traffic.epfl.ch and github.

  20. Traffic Volume Archive 2006 to 2021

    • gis-michigan.opendata.arcgis.com
    • gis-mdot.opendata.arcgis.com
    • +2more
    Updated Oct 15, 2015
    + more versions
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    Michigan Department of Transportation (2015). Traffic Volume Archive 2006 to 2021 [Dataset]. https://gis-michigan.opendata.arcgis.com/maps/2bcfd62c243e462ea4ff040f8581fe5f
    Explore at:
    Dataset updated
    Oct 15, 2015
    Dataset authored and provided by
    Michigan Department of Transportationhttp://www.michigan.gov/mdot
    Area covered
    Description

    The Annual Average Daily Traffic (AADT) is the estimated mean daily traffic volume and the Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles. For continuous sites, estimates are calculated by summing the Annual Average Days of the Week and dividing by seven. For short-count sites, estimates are made by factoring a short count using seasonal and day-of-week adjustment factors.Data Coverage: The dataset covers the entire Federal Aid System in the State of Michigan.Update Cycle: AADT & CAADT volumes are created and released every year.Transportation Data Management System (TDMS) AADT Calculation HelpTraffic Monitoring Program

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VisitIQ™, Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve Website Visitors | Pixel | B2B2C 300 Million records | US [Dataset]. https://datarade.ai/data-products/visitiq-web-traffic-data-cookieless-first-party-opt-in-p-visitiq

Web Traffic Data | Cookieless First Party Opt-In Platform | Capture/Resolve Website Visitors | Pixel | B2B2C 300 Million records | US

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.csvAvailable download formats
Dataset authored and provided by
VisitIQ™
Area covered
United States of America
Description

Be ready for a cookieless internet while capturing anonymous website traffic data!

By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.

This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.

Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.

Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.

Check our product that has the most accurate Web Traffic Data for the B2B2C market.

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