69 datasets found
  1. 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
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    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

  2. e

    similarweb.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
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    (2025). similarweb.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/similarweb.com
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    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Online Services Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for similarweb.com as of May 2025

  3. 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
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    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.

  4. Most Visited Websites in Romania

    • lauracatrina.com
    Updated Jul 1, 2025
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    Similarweb (2025). Most Visited Websites in Romania [Dataset]. https://lauracatrina.com/?p=107557
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Similarwebhttp://similarweb.com/
    License

    https://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodologyhttps://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodology

    Area covered
    Romania
    Variables measured
    website traffic, app traffic, website purchase
    Measurement technique
    clickstream, Data Synthesis, Data Modeling
    Description

    Romania's complete top websites ranking list: Click here for free access to the top websites in Romania, ranked by traffic and engagement

  5. w

    similarweb.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, similarweb.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/similarweb.com/
    Explore at:
    csvAvailable download formats
    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 - Jul 24, 2025
    Description

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

  6. f

    Host country of organization for 86 websites in study.

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Bernard J. Jansen; Soon-gyo Jung; Joni Salminen (2023). Host country of organization for 86 websites in study. [Dataset]. http://doi.org/10.1371/journal.pone.0268212.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 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

    Host country of organization for 86 websites in study.

  7. Most Visited Food and Drink Websites

    • xn----7sbabach0aayueebe4cvmh7b.xn--p1ai
    Updated Jun 1, 2025
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    Similarweb (2025). Most Visited Food and Drink Websites [Dataset]. http://www.xn----7sbabach0aayueebe4cvmh7b.xn--p1ai/?p=93540
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    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Similarwebhttp://similarweb.com/
    License

    https://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodologyhttps://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodology

    Variables measured
    website traffic, app traffic, website purchase
    Measurement technique
    clickstream, Data Synthesis, Data Modeling
    Description

    The complete Food and Drink websites ranking list: Click here for free access to the top Food and Drink websites in the world, ranked by traffic and engagement

  8. Most Visited Weather Websites

    • lauracatrina.com
    Updated Jul 1, 2025
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    Similarweb (2025). Most Visited Weather Websites [Dataset]. https://lauracatrina.com/?p=849816
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Similarwebhttp://similarweb.com/
    License

    https://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodologyhttps://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodology

    Variables measured
    website traffic, app traffic, website purchase
    Measurement technique
    clickstream, Data Synthesis, Data Modeling
    Description

    The complete Weather websites ranking list: Click here for free access to the top Weather websites in the world, ranked by traffic and engagement

  9. C

    Competitor Analysis Evaluation Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 16, 2025
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    Archive Market Research (2025). Competitor Analysis Evaluation Report [Dataset]. https://www.archivemarketresearch.com/reports/competitor-analysis-evaluation-59567
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 16, 2025
    Dataset authored and provided by
    Archive Market Research
    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.

  10. Similarweb's Surge: A Sign of Digital Dominance? (SMWB) (Forecast)

    • kappasignal.com
    Updated May 22, 2024
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    KappaSignal (2024). Similarweb's Surge: A Sign of Digital Dominance? (SMWB) (Forecast) [Dataset]. https://www.kappasignal.com/2024/05/similarwebs-surge-sign-of-digital.html
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Similarweb's Surge: A Sign of Digital Dominance? (SMWB)

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  11. Similarweb revenue 2019 to 2023

    • statista.com
    Updated Feb 6, 2025
    + more versions
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    Statista (2025). Similarweb revenue 2019 to 2023 [Dataset]. https://www.statista.com/statistics/1556142/similarweb-revenue/
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Israel
    Description

    The revenue of Similarweb with headquarters in Israel amounted to 218.02 million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately 147.43 million U.S. dollars. The trend from 2019 to 2023 shows, furthermore, that this increase happened continuously.

  12. A

    ‘Popular Website Traffic Over Time ’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Popular Website Traffic Over Time ’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-popular-website-traffic-over-time-62e4/62549059/?iid=003-357&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Popular Website Traffic Over Time ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/popular-website-traffice on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    Background

    Have you every been in a conversation and the question comes up, who uses Bing? This question comes up occasionally because people wonder if these sites have any views. For this research study, we are going to be exploring popular website traffic for many popular websites.

    Methodology

    The data collected originates from SimilarWeb.com.

    Source

    For the analysis and study, go to The Concept Center

    This dataset was created by Chase Willden and contains around 0 samples along with 1/1/2017, Social Media, technical information and other features such as: - 12/1/2016 - 3/1/2017 - and more.

    How to use this dataset

    • Analyze 11/1/2016 in relation to 2/1/2017
    • Study the influence of 4/1/2017 on 1/1/2017
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Chase Willden

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  13. C

    Competitive Analysis of Industry Rivals Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 21, 2025
    + more versions
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    Archive Market Research (2025). Competitive Analysis of Industry Rivals Report [Dataset]. https://www.archivemarketresearch.com/reports/competitive-analysis-of-industry-rivals-38541
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Archive Market Research
    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

    Competitive Analysis of Industry Rivals The market for competitive analysis is expected to grow significantly over the forecast period, driven by increasing need for businesses to understand their competitive landscape. Key players in the market include BuiltWith, WooRank, SEMrush, Google, SpyFu, Owletter, SimilarWeb, Moz, SunTec Data, and TrendSource. These companies offer a range of services to help businesses track their competitors' online performance, including website traffic, social media engagement, and search engine rankings. Some of the key trends driving the growth of the market include the increasing adoption of digital marketing by businesses, the growing importance of social media, and the increasing availability of data and analytics tools. The market is segmented by type, application, and region. In terms of type, the market is divided into product analysis, traffic analytics, sales analytics, and others. In terms of application, the market is divided into SMEs and large enterprises. In terms of region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. The North American region is expected to dominate the market during the forecast period, due to the presence of a large number of established players in the market. The Asia Pacific region is expected to grow at the highest CAGR during the forecast period, due to the increasing adoption of digital marketing by businesses in the region. This report provides a comprehensive analysis of the industry rivals, encompassing their concentration, product insights, regional trends, and key industry developments.

  14. W

    Website Visitor Tracking Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 5, 2025
    + more versions
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    Market Research Forecast (2025). Website Visitor Tracking Software Report [Dataset]. https://www.marketresearchforecast.com/reports/website-visitor-tracking-software-27553
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 5, 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 global website visitor tracking software market is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, estimated at $5 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled by several key factors, including the rising adoption of digital marketing strategies, the growing importance of data-driven decision-making, and the increasing sophistication of website visitor tracking tools. Cloud-based solutions dominate the market due to their scalability, accessibility, and cost-effectiveness, particularly appealing to Small and Medium-sized Enterprises (SMEs). However, large enterprises continue to invest significantly in on-premise solutions for enhanced data security and control. The market is highly competitive, with numerous established players and emerging startups offering a range of features and functionalities. Technological advancements, such as AI-powered analytics and enhanced integration with other marketing tools, are shaping the future of the market. The market's geographical distribution reflects the global digital landscape. North America, with its mature digital economy and high adoption rates, holds a significant market share. However, regions like Asia-Pacific are showing rapid growth, driven by increasing internet penetration and digitalization across various industries. Despite the overall positive outlook, challenges such as data privacy regulations and the increasing complexity of website tracking technology are influencing market dynamics. The ongoing competition among vendors necessitates continuous innovation and the development of more user-friendly and insightful tools. The future growth of the website visitor tracking software market is promising, fueled by the continuing importance of data-driven decision-making within marketing and business strategies. A key factor will be the ongoing adaptation to evolving privacy regulations and user expectations.

  15. w

    hostmaster@similarweb.com - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, hostmaster@similarweb.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/hostmaster@similarweb.com/
    Explore at:
    csvAvailable download formats
    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 - Jul 24, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address hostmaster@similarweb.com..

  16. A

    Alternative Data Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 8, 2024
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    Archive Market Research (2024). Alternative Data Market Report [Dataset]. https://www.archivemarketresearch.com/reports/alternative-data-market-5021
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Dec 8, 2024
    Dataset authored and provided by
    Archive Market Research
    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 Alternative Data Market size was valued at USD 7.20 billion in 2023 and is projected to reach USD 126.50 billion by 2032, exhibiting a CAGR of 50.6 % during the forecasts period. The use and processing of information that is not in financial databases is known as the alternative data market. Such data involves posts in social networks, satellite images, credit card transactions, web traffic and many others. It is mostly used in financial field to make the investment decisions, managing risks and analyzing competitors, giving a more general view on market trends as well as consumers’ attitude. It has been found that there is increasing requirement for the obtaining of data from unconventional sources as firms strive to nose ahead in highly competitive markets. Some current trend are the finding of AI and machine learning to drive large sets of data and the broadening utilization of the so called “Alternative Data” across industries that are not only the finance industry. Recent developments include: In April 2023, Thinknum Alternative Data launched new data fields to its employee sentiment datasets for people analytics teams and investors to use this as an 'employee NPS' proxy, and support highly-rated employers set up interviews through employee referrals. , In September 2022, Thinknum Alternative Data announced its plan to combine data Similarweb, SensorTower, Thinknum, Caplight, and Pathmatics with Lagoon, a sophisticated infrastructure platform to deliver an alternative data source for investment research, due diligence, deal sourcing and origination, and post-acquisition strategies in private markets. , In May 2022, M Science LLC launched a consumer spending trends platform, providing daily, weekly, monthly, and semi-annual visibility into consumer behaviors and competitive benchmarking. The consumer spending platform provided real-time insights into consumer spending patterns for Australian brands and an unparalleled business performance analysis. .

  17. M

    Similarweb EBITDA 2020-2025 | SMWB

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Similarweb EBITDA 2020-2025 | SMWB [Dataset]. https://www.macrotrends.net/stocks/charts/SMWB/similarweb/ebitda
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Similarweb ebitda from 2020 to 2025. Ebitda can be defined as earnings before interest, taxes, depreciation and amortization.

  18. Meistbesuchte Websites der Welt

    • initiativesspeciales.davines.fr
    Updated Jul 1, 2025
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    Similarweb (2025). Meistbesuchte Websites der Welt [Dataset]. https://initiativesspeciales.davines.fr/?p=736296
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    similarwebhttp://similarweb.com/
    Authors
    Similarweb
    License

    https://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodologyhttps://support.similarweb.com/hc/en-us/articles/360001631538-SimilarWeb-Data-Methodology

    Variables measured
    website traffic, app traffic, website purchase
    Measurement technique
    clickstream, Data Synthesis, Data Modeling
    Description

    Top-Websites-Ranking: Sehen Sie sich die vollständige Liste der am häufigsten besuchten Websites in jeder Kategorie und jedem Land der Welt kostenlos an – klicken Sie hier

  19. M

    Similarweb Shares Outstanding 2020-2025 | SMWB

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Similarweb Shares Outstanding 2020-2025 | SMWB [Dataset]. https://www.macrotrends.net/stocks/charts/SMWB/similarweb/shares-outstanding
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Similarweb shares outstanding from 2020 to 2025. Shares outstanding can be defined as the number of shares held by shareholders (including insiders) assuming conversion of all convertible debt, securities, warrants and options. This metric excludes the company's treasury shares.

  20. Similarweb employees 2019 to 2023

    • statista.com
    Updated Feb 6, 2025
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    Statista (2025). Similarweb employees 2019 to 2023 [Dataset]. https://www.statista.com/statistics/1556144/similarweb-employees/
    Explore at:
    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Israel
    Description

    The employees of Similarweb with headquarters in Israel amounted to 899 in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately 486. The trend from 2019 to 2023 shows, however, that this increase did not happen continuously.

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

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Dataset updated
Oct 14, 2022
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Authors
David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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

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