11 datasets found
  1. Average load time for mobile sites in APAC 2018, by country

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Average load time for mobile sites in APAC 2018, by country [Dataset]. https://www.statista.com/statistics/1034822/apac-average-mobile-site-load-time-by-country/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Asia–Pacific
    Description

    Within the Asia Pacific region, China had the fastest load time for mobile sites with *** seconds, followed by Singapore with an average load time of seven seconds. Nevertheless, the load times are still slower than the recommended load time of ***** seconds. The same research found that for every second of delay in mobile site load time, there was a ** percent drop in conversions.

  2. Average time taken to load a web page on 3G & 4G in the UK in 2014, by...

    • statista.com
    Updated Nov 13, 2014
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    Statista (2014). Average time taken to load a web page on 3G & 4G in the UK in 2014, by provider [Dataset]. https://www.statista.com/statistics/398680/average-time-taken-to-load-a-web-page-on-3g-and-4g-by-provider-in-the-uk/
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    Dataset updated
    Nov 13, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2014 - Jun 2014
    Area covered
    United Kingdom
    Description

    This statistic compares the time taken to load a web page on 3G and 4G networks in the United Kingdom (UK) as of *********, by provider. In *********, the page-loading time on Three's 4G network was **** seconds and that on its 3G network was **** seconds, faster than any of the other providers.

  3. S

    Landing Page Statistics By Types And Facts (2025)

    • sci-tech-today.com
    Updated Jun 23, 2025
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    Sci-Tech Today (2025). Landing Page Statistics By Types And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/landing-page-statistics-updated/
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    Dataset updated
    Jun 23, 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

    Landing Page Statistics: Landing pages are dedicated web pages designed to convert visitors into leads or customers by focusing on a single, clear call to action. In 2024, the median landing page conversion rate across industries is 6.6%, with top-performing pages exceeding 20%. Email-driven traffic achieves the highest average conversion rate at 19.3%, outperforming paid search (10.9%) and paid social (12%).

    Mobile devices account for 82.9% of landing page traffic, yet desktop users exhibit a higher average conversion rate of 12.1% compared to 11.2% for mobile users. Speed is crucial; a one-second delay in page load time can reduce conversions by 7%. Incorporating videos can boost conversions by 86%, and personalized landing pages can convert 202% better than generic ones.

    Design elements significantly impact performance. Landing pages with five or fewer form fields convert 120% better than those with more fields. Pages with a single, clear call to action achieve a 13.5% conversion rate, compared to 11.9% for pages with multiple CTAs. Additionally, 38.6% of marketers report that videos enhance landing page conversion rates more than any other element.

    Let us check out some of the Landing page statistics concerning landing page performance and the secrets of landing page success.

  4. Leading websites in Poland in 2018, by loading time

    • statista.com
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    Statista, Leading websites in Poland in 2018, by loading time [Dataset]. https://www.statista.com/statistics/1049646/poland-fastest-loading-websites/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 22, 2018 - Dec 28, 2018
    Area covered
    Poland
    Description

    Financial portal Money.pl was the fastest-loading website in Poland in December 2018, with a ***-second last visual change (the amount of time taken for all elements to load on the main page). Information websites Onet.pl and Wp.pl followed, with a one-second last visual change each. Google was ninth, with *** seconds, and film database Filmweb.pl was last on the ranking, with *** seconds

  5. 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...

  6. Z

    Data from: Replication Data for "Exploring Genetic Improvement of the Carbon...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Oct 5, 2023
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    Maiko Sakamoto (2023). Replication Data for "Exploring Genetic Improvement of the Carbon Footprint of Web Pages" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8347914
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    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Gregory Gay
    Maiko Sakamoto
    Haozhou Lyu
    License

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

    Description

    Overview

    In this study, we explore automated reduction of the carbon footprint of web pages through genetic improvement, a process that produces alternative versions of a program by applying program transformations intended to optimize qualities of interest. We introduce a prototype tool that imposes transformations to HTML, CSS, and JavaScript code, as well as image resources, that minimize the quantity of data transferred and memory usage while also minimizing impact to the user experience (measured through loading time and number of changes imposed).

    In an evaluation, our tool outperforms two baselines---the original page and randomized changes---in the average case on all projects for data transfer quantity, and 80% of projects for memory usage and load time, often with large effect size. Our results illustrate the applicability of genetic improvement to reduce the carbon footprint of web components, and offer lessons that can benefit the design of future tools.

    Data Contained in This Package

    • experiment_data/Subject Project-XX-X.xlsx

    Each spreadsheet contains data collected as part of our experiments, including the fitness scores of the final solutions.

  7. h

    anomaly_detection_metrics_data

    • huggingface.co
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    Shreyas Patil, anomaly_detection_metrics_data [Dataset]. https://huggingface.co/datasets/ShreyasP123/anomaly_detection_metrics_data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Shreyas Patil
    Description

    Dataset Card: Anomaly Detection Metrics Data

      Dataset Summary
    

    This dataset contains system performance metrics collected over time for anomaly detection in time series data. It includes multiple system metrics such as CPU load, memory usage, and other resource utilization statistics, along with timestamps and additional attributes.

      Dataset Details
    

    Size: ~7.3 MB (raw JSON), 345 kB (auto-converted Parquet) Rows: 46,669 Format: JSON Libraries: datasets, pandas… See the full description on the dataset page: https://huggingface.co/datasets/ShreyasP123/anomaly_detection_metrics_data.

  8. Number of internet users worldwide 2014-2029

    • statista.com
    Updated Apr 11, 2025
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    Statista Research Department (2025). Number of internet users worldwide 2014-2029 [Dataset]. https://www.statista.com/topics/1145/internet-usage-worldwide/
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    World
    Description

    The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

  9. Attitudes towards the internet in Japan 2025

    • statista.com
    Updated Apr 11, 2025
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    Umair Bashir (2025). Attitudes towards the internet in Japan 2025 [Dataset]. https://www.statista.com/topics/1145/internet-usage-worldwide/
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Umair Bashir
    Description

    When asked about "Attitudes towards the internet", most Japanese respondents pick "I'm concerned that my data is being misused on the internet" as an answer. 35 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

  10. Attitudes towards the internet in Mexico 2025

    • statista.com
    Updated Apr 11, 2025
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    Umair Bashir (2025). Attitudes towards the internet in Mexico 2025 [Dataset]. https://www.statista.com/topics/1145/internet-usage-worldwide/
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Umair Bashir
    Description

    When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place" as an answer. 56 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

  11. Countries with the most Facebook users 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 19, 2025
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    Statista (2025). Countries with the most Facebook users 2025 [Dataset]. https://www.statista.com/statistics/268136/top-15-countries-based-on-number-of-facebook-users/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    Which county has the most Facebook users? There are more than 383 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country, then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 196.9 million, 122.3 million, and 111.65 million Facebook users respectively. Facebook – the most used social media Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3.5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising. Facebook usage by device As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Average load time for mobile sites in APAC 2018, by country [Dataset]. https://www.statista.com/statistics/1034822/apac-average-mobile-site-load-time-by-country/
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Average load time for mobile sites in APAC 2018, by country

Explore at:
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
Asia–Pacific
Description

Within the Asia Pacific region, China had the fastest load time for mobile sites with *** seconds, followed by Singapore with an average load time of seven seconds. Nevertheless, the load times are still slower than the recommended load time of ***** seconds. The same research found that for every second of delay in mobile site load time, there was a ** percent drop in conversions.

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