100+ datasets found
  1. 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.

  2. d

    Web Traffic Data | 500M+ US Web Traffic Data Resolution | B2B and B2C...

    • datarade.ai
    .csv, .xls
    Updated Feb 24, 2025
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    Allforce (2025). Web Traffic Data | 500M+ US Web Traffic Data Resolution | B2B and B2C Website Visitor Identity Resolution [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 24, 2025
    Dataset authored and provided by
    Allforce
    Area covered
    United States of America
    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. 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.

  4. d

    LAcity.org Website Traffic - Page Views

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Nov 29, 2021
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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

  5. a

    Website Page Views

    • data-uvalibrary.opendata.arcgis.com
    • opendata.suffolkcountyny.gov
    • +1more
    Updated Aug 12, 2022
    + more versions
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    Suffolk County GIS (2022). Website Page Views [Dataset]. https://data-uvalibrary.opendata.arcgis.com/datasets/SuffolkGIS::website-page-views
    Explore at:
    Dataset updated
    Aug 12, 2022
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Description

    Dataset contains the total number of page views for the dates 1/1/2014 through 12/31/2016. Data obtained through Google Analytics.

  6. Leading classified websites worldwide 2024, by pages per visit

    • ai-chatbox.pro
    • statista.com
    Updated Oct 7, 2024
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    Statista (2024). Leading classified websites worldwide 2024, by pages per visit [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1337323%2Fleading-classified-websites-by-pages-per-visit%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    Worldwide
    Description

    As of August 2024, among the top ten classified websites worldwide, craigslist.org experienced the highest number of pages per visit. During a session, online consumers browsed an average of 28.47 pages on craigslist. The website finn.no followed with around 19.68 pages per visit.

  7. 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.

  8. 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/
    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.

  9. w

    Websites using Page Views Count

    • webtechsurvey.com
    csv
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    WebTechSurvey, Websites using Page Views Count [Dataset]. https://webtechsurvey.com/technology/page-views-count
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Page Views Count technology, compiled through global website indexing conducted by WebTechSurvey.

  10. D

    Monthly Page Views to CDC.gov

    • data.cdc.gov
    • data.virginia.gov
    • +4more
    application/rdfxml +5
    Updated Jul 1, 2025
    + more versions
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    Office of the Associate Director for Communication, Division of News and Electronic Media (2025). Monthly Page Views to CDC.gov [Dataset]. https://data.cdc.gov/Web-Metrics/Monthly-Page-Views-to-CDC-gov/rq85-buyi
    Explore at:
    xml, application/rdfxml, json, csv, application/rssxml, tsvAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Office of the Associate Director for Communication, Division of News and Electronic Media
    Description

    For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/

  11. 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/bigquery/google-analytics-sample
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Sep 19, 2019
    Dataset provided by
    Googlehttp://google.com/
    BigQueryhttps://cloud.google.com/bigquery
    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?

  12. d

    Open Data Website Traffic

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Jun 21, 2025
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    data.lacity.org (2025). Open Data Website Traffic [Dataset]. https://catalog.data.gov/dataset/open-data-website-traffic
    Explore at:
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.lacity.org
    Description

    Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly

  13. c

    Google Analytics www cityofrochester gov

    • data.cityofrochester.gov
    Updated Dec 11, 2021
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    Open_Data_Admin (2021). Google Analytics www cityofrochester gov [Dataset]. https://data.cityofrochester.gov/datasets/google-analytics-www-cityofrochester-gov/about
    Explore at:
    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Open_Data_Admin
    Description

    Data dictionary: Page_Title: Title of webpage used for pages of the website www.cityofrochester.gov Pageviews: Total number of pages viewed over the course of the calendar year listed in the year column. Repeated views of a single page are counted. Unique_Pageviews: Unique Pageviews - The number of sessions during which a specified page was viewed at least once. A unique pageview is counted for each URL and page title combination. Avg_Time: Average amount of time users spent looking at a specified page or screen. Entrances: The number of times visitors entered the website through a specified page.Bounce_Rate: " A bounce is a single-page session on your site. In Google Analytics, a bounce is calculated specifically as a session that triggers only a single request to the Google Analytics server, such as when a user opens a single page on your site and then exits without triggering any other requests to the Google Analytics server during that session. Bounce rate is single-page sessions on a page divided by all sessions that started with that page, or the percentage of all sessions on your site in which users viewed only a single page and triggered only a single request to the Google Analytics server. These single-page sessions have a session duration of 0 seconds since there are no subsequent hits after the first one that would let Google Analytics calculate the length of the session. "Exit_Rate: The number of exits from a page divided by the number of pageviews for the page. This is inclusive of sessions that started on different pages, as well as “bounce” sessions that start and end on the same page. For all pageviews to the page, Exit Rate is the percentage that were the last in the session. Year: Calendar year over which the data was collected. Data reflects the counts for each metric from January 1st through December 31st.

  14. f

    Summary of results comparing Google Analytics and SimilarWeb for total...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Summary of results comparing Google Analytics and SimilarWeb for total visits, unique visitors, bounce rate, and average session duration. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen
    License

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

    Description

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

  15. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
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    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
    Explore at:
    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

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

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  16. C

    City website pages (by URL) visited in 2014

    • processor1.francecentral.cloudapp.azure.com
    Updated Mar 4, 2015
    + more versions
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    City of Brussels/Web Cell (2015). City website pages (by URL) visited in 2014 [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/pages-of-the-website-by-url-of-the-city-visited-in-2014
    Explore at:
    https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/text/csvAvailable download formats
    Dataset updated
    Mar 4, 2015
    Dataset provided by
    City of Brussels/Web Cell
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Statistics of visits to the pages of the website of the City of Brussels (in 2014) with the address of the page (according to www.bruxelles.be, the number of pages viewed, the number of unique consultations, the average time spent on the page.Source: Google Analytics.Each page of the City of Brussels website is identified by 4 digits appearing in its address.A search on these 4 digits provides statistics relating to the page in question.

  17. 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
    Explore at:
    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.

  18. Z

    Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values)

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Apr 1, 2021
    + more versions
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    Webb, Geoff (2021). Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3892918
    Explore at:
    Dataset updated
    Apr 1, 2021
    Dataset provided by
    Montero-Manso, Pablo
    Webb, Geoff
    Bergmeir, Christoph
    Hyndman, Rob
    Godahewa, Rakshitha
    License

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

    Description

    This dataset was used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.

    The original dataset contains missing values. They have been simply replaced by zeros.

  19. C

    Visited web pages of the City (by title) in 2015

    • processor1.francecentral.cloudapp.azure.com
    • opendata.brussels.be
    • +1more
    Updated Mar 14, 2016
    + more versions
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    City of Brussels/Web Unit (2016). Visited web pages of the City (by title) in 2015 [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/visited-web-pages-of-the-city-by-title-in-2015
    Explore at:
    https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/text/csvAvailable download formats
    Dataset updated
    Mar 14, 2016
    Dataset provided by
    City of Brussels/Web Unit
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Visitor statistics of the pages of the website of the City of Brussels (2015) by title, the number of pages viewed, the number of unique visits. Source: Google Analytics.

  20. Brazil: most visited websites 2024, by pages per visit

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Brazil: most visited websites 2024, by pages per visit [Dataset]. https://www.statista.com/statistics/1307452/most-visited-websites-pages-per-visit-brazil/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Brazil
    Description

    In November 2024, Xvideos.com, Instagram.com, and X.com were the websites with the most pages per visit in Brazil, with an average of *****, ****, and **** pages visited per session each. Despite being the most accessed in total visits and unique visitors, Google.com ranked fifteenth, with *** pages per visit, while YouTube.com ranked fifth, with **** pages visited per session.

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Cite
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/
Organization logo

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

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.

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