9 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
    Explore at:
    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    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. 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.

  3. 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.

  4. P

    Paid Search Intelligence Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 6, 2025
    + more versions
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    Market Research Forecast (2025). Paid Search Intelligence Software Report [Dataset]. https://www.marketresearchforecast.com/reports/paid-search-intelligence-software-27917
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 6, 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 Paid Search Intelligence Software market is experiencing robust growth, driven by the increasing reliance on paid search advertising for businesses of all sizes. The market's expansion is fueled by several key factors. Firstly, the growing complexity of search engine algorithms necessitates sophisticated tools for campaign optimization and performance analysis. Businesses are increasingly seeking ways to maximize ROI on their paid search investments, leading to a heightened demand for intelligent software solutions. Secondly, the rise of mobile search and the proliferation of online advertising channels are forcing marketers to adopt data-driven approaches to manage their campaigns effectively. This requires sophisticated analytics and reporting capabilities found in paid search intelligence software. Finally, the competitive landscape of online advertising is becoming increasingly intense, pushing businesses to leverage advanced analytics to understand their competitors' strategies and gain a competitive edge. We estimate the current market size (2025) to be around $2.5 billion, considering the rapid adoption and increasing sophistication of these tools. We project a Compound Annual Growth Rate (CAGR) of 15% from 2025-2033, leading to a significant market expansion by the end of the forecast period. While the cloud-based segment currently holds a larger market share, the on-premises segment is likely to see sustained growth due to specific data security and compliance requirements in certain sectors. Large enterprises currently dominate the application segment; however, the SME segment is expected to witness significant growth fueled by increasing digital adoption and affordability of these software solutions. Geographic segmentation reveals a strong presence in North America and Europe, driven by the high adoption of digital marketing strategies and advanced technological infrastructure. The Asia-Pacific region, particularly China and India, presents a significant growth opportunity given the rapid expansion of e-commerce and increasing internet penetration. However, factors like data privacy regulations and the need for localized solutions might pose challenges to market penetration in certain regions. Competition in the market is intense, with established players like Semrush, SpyFu, and SimilarWeb vying for market share alongside emerging companies offering specialized features and functionalities. Continued innovation in artificial intelligence (AI) and machine learning (ML) will be a key driver of future growth, enabling more advanced campaign optimization and predictive analytics capabilities. The market will continue to evolve to meet the evolving demands of the digital marketing landscape.

  5. similarweb.marketing - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, similarweb.marketing - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/similarweb.marketing/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

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

    Time period covered
    Mar 15, 1985 - Jul 17, 2025
    Description

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

  6. SimilarWeb-LTD (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, SimilarWeb-LTD (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/company/SimilarWeb-LTD/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

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

    Time period covered
    Mar 15, 1985 - Jul 16, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company SimilarWeb-LTD.

  7. C

    Competition Marketing Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 3, 2025
    + more versions
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    Data Insights Market (2025). Competition Marketing Software Report [Dataset]. https://www.datainsightsmarket.com/reports/competition-marketing-software-510896
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The competitive marketing software market is experiencing robust growth, driven by the increasing need for businesses to understand their competitive landscape and optimize their marketing strategies. The market, estimated at $5 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 15% through 2033, reaching approximately $15 billion by the end of the forecast period. This growth is fueled by several key factors: the rising adoption of digital marketing, the increasing complexity of online competitive analysis, and the growing demand for data-driven marketing decisions. Key players like SEMrush, Ahrefs, and Moz Pro are leading this market, offering comprehensive suites of tools for keyword research, backlink analysis, competitor monitoring, and SEO optimization. The market's segmentation is likely diversified across various functionalities (e.g., SEO tools, social media analytics, PPC analysis) and business sizes, catering to both small and large enterprises. Growth is further boosted by ongoing technological advancements in data analytics and artificial intelligence, leading to more sophisticated and actionable insights for marketers. Despite its rapid expansion, the market faces challenges. High initial investment costs and the need for specialized technical expertise can act as barriers to entry for smaller businesses. Furthermore, the constant evolution of search engine algorithms and online marketing landscapes requires continuous software updates and adaptation from vendors. The market is also prone to intense competition, with established players constantly innovating and new entrants vying for market share. Nevertheless, the overall market outlook remains positive, with ongoing growth driven by the increasing reliance on data-driven decision-making and the evolving complexity of the digital marketing landscape. Regional variations in market penetration will likely exist, with North America and Europe expected to hold significant shares, followed by the Asia-Pacific region witnessing faster growth.

  8. 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..

  9. w

    similarweb.biz - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AllHeart Web Inc, similarweb.biz - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/similarweb.biz/
    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 - Jun 20, 2025
    Description

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

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Click to copy link
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Close
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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

Related Article
Explore at:
docAvailable download formats
Dataset updated
Oct 14, 2022
Dataset provided by
figshare
Figsharehttp://figshare.com/
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

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