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. 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...

  3. 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.

  4. Groupon.com: website traffic share in the U.S. 2024, by device

    • statista.com
    • flwrdeptvarieties.store
    Updated Jun 14, 2024
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    Statista (2024). Groupon.com: website traffic share in the U.S. 2024, by device [Dataset]. https://www.statista.com/statistics/1392783/grouponcom-desktop-device-split-us/
    Explore at:
    Dataset updated
    Jun 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In May 2024, visits to Groupon.com in the United States mainly originated from mobile devices. Around three-fifths of its website traffic came from smartphones. Desktops accounted for the remaining traffic share, at nearly two-fifths.

  5. 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
    Explore at:
    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.

  6. 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/
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    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.

  7. d

    LAcity.org Website Traffic - Page Views

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Nov 29, 2021
    + more versions
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    data.lacity.org (2021). LAcity.org Website Traffic - Page Views [Dataset]. https://catalog.data.gov/dataset/lacity-org-website-traffic-page-views
    Explore at:
    Dataset updated
    Nov 29, 2021
    Dataset provided by
    data.lacity.org
    Area covered
    Los Angeles
    Description

    Top 25 Daily Page Views for the main website of Los Angeles

  8. 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.'
    
  9. Website traffic of NFL.com 2020-2022, by number of monthly visits

    • statista.com
    Updated Jan 18, 2024
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    Statista (2024). Website traffic of NFL.com 2020-2022, by number of monthly visits [Dataset]. https://www.statista.com/statistics/1372157/website-traffic-nfl-com/
    Explore at:
    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Dec 2022
    Area covered
    United States
    Description

    In December 2022, the National Football League's (NFL) website NFL.com reached 96.43 million visits. Traffic to the sporting association's web page is at it's highest between September, when the NFL schedule begins on weekend after Labor Day in the United States, until January, a month before the Super Bowl.

  10. W

    Website Traffic Generator Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Feb 13, 2025
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    Market Research Forecast (2025). Website Traffic Generator Report [Dataset]. https://www.marketresearchforecast.com/reports/website-traffic-generator-19356
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 13, 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 Website Traffic Generator market is projected to reach USD 2,844.3 million by 2033, expanding at a CAGR of 12.1% from 2023 to 2033. Rising demand for online traffic, increasing digital marketing investments, and the advent of new technologies are major factors driving market growth. The increasing adoption of social media platforms and the growing popularity of mobile internet usage further contribute to the demand for website traffic generators. The market is segmented by type into Referral Traffic Generators, Social Media Traffic Generators, Direct Traffic Generators, and Others. Referral Traffic Generators currently dominate the market, accounting for a significant share of the total revenue. However, Social Media Traffic Generators are expected to witness the fastest growth over the forecast period due to the growing popularity of social media platforms as a source of website traffic. The market is also segmented by application into Individual and Enterprise, with the Enterprise segment holding a larger market share. Key players in the market include Babylon Traffic, SparkTraffic, Getthit, TrafficApe, Somiibo, Serp Empire, EasyHits4U, Growtraffic, 10KHits, Traffup, Torpedo Traffic, YOOtraffic, SigmaTraffic, TheTraffic, WebTrafficly, Traffic Creator, and Apex Traffic.

  11. G

    Website traffic strategies by industry and size of enterprise

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Website traffic strategies by industry and size of enterprise [Dataset]. https://open.canada.ca/data/dataset/a7882acc-a647-4fa6-a58b-6dae889de472
    Explore at:
    xml, csv, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

  12. Z

    Network Traffic Analysis: Data and Code

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 4, 2024
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    Moran, Madeline (2024). Network Traffic Analysis: Data and Code [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11479410
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Ferrell, Nathan
    Soni, Shreena
    Honig, Joshua
    Moran, Madeline
    Chan-Tin, Eric
    Homan, Sophia
    License

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

    Description

    Code:

    Packet_Features_Generator.py & Features.py

    To run this code:

    pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

    -h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

    Purpose:

    Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

    Uses Features.py to calcualte the features.

    startMachineLearning.sh & machineLearning.py

    To run this code:

    bash startMachineLearning.sh

    This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

    Options (to be edited within this file):

    --evaluate-only to test 5 fold cross validation accuracy

    --test-scaling-normalization to test 6 different combinations of scalers and normalizers

    Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

    --grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

    Purpose:

    Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

    Data

    Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

    Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

    First number is a classification number to denote what website, query, or vr action is taking place.

    The remaining numbers in each line denote:

    The size of a packet,

    and the direction it is traveling.

    negative numbers denote incoming packets

    positive numbers denote outgoing packets

  13. w

    internet-website-traffic.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Oct 15, 2011
    + more versions
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    AllHeart Web Inc (2011). internet-website-traffic.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/internet-website-traffic.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 15, 2011
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Feb 1, 2025
    Description

    Explore the historical Whois records related to internet-website-traffic.com (Domain). Get insights into ownership history and changes over time.

  14. 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/
    Explore at:
    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.

  15. OnBuy.com: share of website traffic by source September 2020

    • statista.com
    Updated Oct 8, 2020
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    Statista (2020). OnBuy.com: share of website traffic by source September 2020 [Dataset]. https://www.statista.com/statistics/1177973/onbuycom-website-traffic-source/
    Explore at:
    Dataset updated
    Oct 8, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020
    Area covered
    United Kingdom
    Description

    Recent website traffic data revealed that the majority of website visits on desktop and mobile to onbuy.com came from online search with approximately 63.5 percent in September 2020. Direct visits had the second largest share with 24 percent. In contrast, mail constituted only one percent of all website visits to OnBuy.com.

  16. C

    Competitor Analysis Evaluation Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 16, 2025
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    AMA Research & Media LLP (2025). Competitor Analysis Evaluation Report [Dataset]. https://www.archivemarketresearch.com/reports/competitor-analysis-evaluation-59567
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 16, 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

    The global website analytics market, encompassing solutions for large enterprises and SMEs, is poised for significant growth. While the provided data lacks specific market size and CAGR figures, a reasonable estimation based on industry trends suggests a 2025 market size of approximately $15 billion, experiencing a compound annual growth rate (CAGR) of 12% from 2025 to 2033. This robust growth is fueled by several key drivers: the increasing reliance on data-driven decision-making across businesses, the escalating need for enhanced website performance optimization, and the growing adoption of sophisticated analytics tools offering deeper insights into user behavior and conversion rates. Market segmentation reveals strong demand across diverse analytics types, including product, traffic, and sales analytics. The competitive landscape is intensely dynamic, with established players like Google, SEMrush, and SimilarWeb vying for market share alongside emerging innovative companies like Owletter and TrendSource. These companies are constantly innovating to provide more comprehensive and user-friendly analytics platforms, leading to increased competition. This competitive pressure fosters innovation, but also necessitates strategic differentiation, focusing on specific niche markets or offering unique features to attract and retain customers. The market’s geographic distribution shows significant traction in North America and Europe, but emerging markets in Asia Pacific are also exhibiting substantial growth potential, driven by increasing internet penetration and digital transformation initiatives. While data security concerns and the complexity of implementing analytics tools present some restraints, the overall market outlook remains highly positive, promising considerable opportunities for market participants in the coming years.

  17. Website traffic to Zalando.es 2023

    • statista.com
    Updated Dec 19, 2024
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    Statista (2024). Website traffic to Zalando.es 2023 [Dataset]. https://www.statista.com/statistics/1268019/zalando-website-visits-spain/
    Explore at:
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Dec 2023
    Area covered
    Worldwide, Spain
    Description

    Data shows that over the survey period the Spanish marketplace Zalando.es reported the highest number of website visitors in December 2023 with 14.2 million in total excluding app traffic.

  18. Impact of AI on website traffic anticipated by digital marketers worldwide...

    • statista.com
    Updated Sep 1, 2023
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    Statista (2023). Impact of AI on website traffic anticipated by digital marketers worldwide 2023 [Dataset]. https://www.statista.com/statistics/1410386/impact-ai-website-traffic-worldwide/
    Explore at:
    Dataset updated
    Sep 1, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    According to the results of a survey conducted worldwide in 2023, nearly half of responding digital marketers believed artificial intelligence (AI) would have a positive impact on website search traffic in the next five years. Some 20 percent stated AI would have a neutral effect, while 30 percent agreed that the technology would negatively impact search traffic.

  19. Global website traffic distribution 2019, by source

    • statista.com
    Updated Nov 30, 2022
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    Statista (2022). Global website traffic distribution 2019, by source [Dataset]. https://www.statista.com/statistics/1110433/distribution-worldwide-website-traffic/
    Explore at:
    Dataset updated
    Nov 30, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    As of 2019, direct traffic accounts for the largest percentage of website traffic worldwide, with a share of 55 percent. Additionally, search traffic accounts for 29 percent of worldwide website traffic.

  20. Zalando: website traffic on desktop and mobile across all domains 2023

    • statista.com
    Updated Dec 19, 2024
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    Statista (2024). Zalando: website traffic on desktop and mobile across all domains 2023 [Dataset]. https://www.statista.com/statistics/1175856/zalando-website-traffic-all-domains/
    Explore at:
    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Dec 2023
    Area covered
    Europe
    Description

    Desktop and mobile website traffic data showed that Germany domain of Zalando had by far the highest number of visitors compared to all other European countries. Between July 2023 and December 2023, zalando.de recorded more nearly 203 million visits. The Polish web domain followed in the ranking, as the total visits amounted to 99.2 million.

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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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