2 datasets found
  1. Traffic Acquisition to LAMs Websites

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 30, 2022
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    Ioannis C. Drivas; Ioannis C. Drivas; Dimitrios Kouis; Dimitrios Kouis (2022). Traffic Acquisition to LAMs Websites [Dataset]. http://doi.org/10.5281/zenodo.6505277
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    Dataset updated
    Apr 30, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ioannis C. Drivas; Ioannis C. Drivas; Dimitrios Kouis; Dimitrios Kouis
    License

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

    Description

    Preliminary research efforts regarding Social Media Platforms and their contribution to website traffic in LAMs. Through the Similar Web API, the leading social networks (Facebook, Twitter, Youtube, Instagram, Reddit, Pinterest, LinkedIn) that drove traffic to each one of the 220 cases in our dataset were identified and analyzed in the first sheet. Aggregated results proved that Facebook platform was responsible for 46.1% of social traffic (second sheet).

  2. A

    Alternative Data Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 8, 2024
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    Alternative Data Market Report [Dataset]. https://www.archivemarketresearch.com/reports/alternative-data-market-5021
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    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. .

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Ioannis C. Drivas; Ioannis C. Drivas; Dimitrios Kouis; Dimitrios Kouis (2022). Traffic Acquisition to LAMs Websites [Dataset]. http://doi.org/10.5281/zenodo.6505277
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Traffic Acquisition to LAMs Websites

Explore at:
Dataset updated
Apr 30, 2022
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Ioannis C. Drivas; Ioannis C. Drivas; Dimitrios Kouis; Dimitrios Kouis
License

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

Description

Preliminary research efforts regarding Social Media Platforms and their contribution to website traffic in LAMs. Through the Similar Web API, the leading social networks (Facebook, Twitter, Youtube, Instagram, Reddit, Pinterest, LinkedIn) that drove traffic to each one of the 220 cases in our dataset were identified and analyzed in the first sheet. Aggregated results proved that Facebook platform was responsible for 46.1% of social traffic (second sheet).

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