100+ datasets found
  1. h

    social-network-ads

    • huggingface.co
    Updated Jul 11, 2024
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    Seifullah Bello (2024). social-network-ads [Dataset]. https://huggingface.co/datasets/saifhmb/social-network-ads
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 11, 2024
    Authors
    Seifullah Bello
    Description

    Dataset Card for Social Network Ads Dataset

      Dataset Summary
    

    The Social Network Ads Dataset is an English Language dataset containing 400 entries of customer information and their purchasing behavior

      Dataset Structure
    
    
    
    
    
      Data Instances
    

    For each instance, there is an integer for the age, an integer for the estimated salary, and the purchased feature has 2 possible values , 0 and 1 which correspond to No and Yes respectively. {'Age': '19'… See the full description on the dataset page: https://huggingface.co/datasets/saifhmb/social-network-ads.

  2. Social Network Ads

    • kaggle.com
    Updated Jun 6, 2024
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    sahil_rangrej (2024). Social Network Ads [Dataset]. https://www.kaggle.com/datasets/sahilrangrej/social-network-ads
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    sahil_rangrej
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by sahil_rangrej

    Released under Apache 2.0

    Contents

  3. social-network-ads

    • kaggle.com
    Updated May 3, 2021
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    Himanshu Bhardwaj (2021). social-network-ads [Dataset]. https://www.kaggle.com/himanshu911/socialnetworkads/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 3, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Himanshu Bhardwaj
    Description

    Dataset

    This dataset was created by Himanshu Bhardwaj

    Contents

  4. Data from: Social Network Advertising

    • kaggle.com
    Updated Aug 29, 2020
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    mohitbasantani (2020). Social Network Advertising [Dataset]. https://www.kaggle.com/mohit1987/social-network-advertising/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 29, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    mohitbasantani
    Description

    Context

    This data set is a social networking Ads data having the information of the add board on the social networking sites, to promote their products.

    Do leave an upvote if you found this dataset useful!

  5. Social network ad spending per user worldwide 2017-2027

    • statista.com
    • ai-chatbox.pro
    • +1more
    Updated Feb 27, 2025
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    Statista (2025). Social network ad spending per user worldwide 2017-2027 [Dataset]. https://www.statista.com/statistics/325160/social-media-ad-spend-user/
    Explore at:
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2020, the amount spend on advertisement per user worldwide increased around 3.5 U.S. dollars to 28.3 U.S dollars. According to the Statista Digital Market Outlook advertising spending per user in estimated to increase to almost 40 U.S dollars by 2025.

  6. Social network ad spending per user worldwide 2020-2028, by device

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Social network ad spending per user worldwide 2020-2028, by device [Dataset]. https://www.statista.com/statistics/1273386/social-media-ad-spend-use-device/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Over the last two observations, the average ad spending per internet user is forecast to significantly increase in all segments. Concerning the two selected segments, the segment Social Media Advertising Mobile has the largest average ad spending per internet user with ***** U.S. dollars. Contrastingly, Social Media Advertising Desktop is ranked last, with **** U.S. dollars. Their difference, compared to Social Media Advertising Mobile, lies at ***** U.S. dollars. The Statista Market Insights cover a broad range of additional markets.

  7. Social network ad spend in the U.S. 2021-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Social network ad spend in the U.S. 2021-2025 [Dataset]. https://www.statista.com/statistics/736971/social-media-ad-spend-usa/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Every year billions of dollars are spent on advertising on social media in the United States. In 2022, the amount reached ** billion U.S. dollars, and included paid advertising on social networks as well as games and applications on social media. By 2025, advertisers are expected to spend over ** billion dollars on promoting their products on social networks. Facebook commands the lion’s share of these expenditures (more than ** percent), followed by LinkedIn and Pinterest with * and * percent respectively. Social network advertising – a closer look   Studies show that a little over ** percent of U.S. companies are and will be using social media for marketing purposes. In 2017, social messaging and video were thought to be the trends of the future in relation to social media advertising and believed to have the biggest effect on marketing strategies. Lo and behold, advertising spending on social video has been growing ever since, and is expected to amount to nearly ** billion U.S dollars in 2021. Even in this respect, Facebook has the lead, especially when it comes to influencer marketing. In fact, all tiers of influencers - from microinfluencers to celebrities - post the majority of their videos on Facebook. The second choice of platform to share their videos is YouTube, which despite being 'the' video sharing platform is not as popular yet among influencers most probably due to smaller user reach.

  8. S

    Social Networking Advertising Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 18, 2025
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    Data Insights Market (2025). Social Networking Advertising Report [Dataset]. https://www.datainsightsmarket.com/reports/social-networking-advertising-1364837
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jan 18, 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 global social networking advertising market size was valued at USD 115.34 billion in 2022 and is projected to grow from USD 135.54 billion in 2023 to USD 311.11 billion by 2030, exhibiting a CAGR of 12.2% during the forecast period. The market growth is primarily attributed to the increasing adoption of social media platforms, rising smartphone penetration, and growing popularity of e-commerce. The market is driven by factors such as the growing popularity of social media platforms, increasing smartphone penetration, and the growing popularity of e-commerce. Additionally, the rise of influencer marketing and the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies are also contributing to the growth of the market. However, factors such as privacy concerns and data breaches may restrain the market growth to some extent. The market is segmented based on application, type, and region. Based on application, the market is segmented into photo ads, video ads, slideshow ads, carousel ads, collection ads, canvas ads, lead ads, and dynamic product ads.

  9. Social network ads

    • kaggle.com
    Updated Aug 16, 2020
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    TechWaker (2020). Social network ads [Dataset]. https://www.kaggle.com/datasets/techwaker/social-network-ads
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 16, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    TechWaker
    Description

    Dataset

    This dataset was created by TechWaker

    Contents

  10. A

    ‘Social Network Ads’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Dec 2, 2016
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2016). ‘Social Network Ads’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-social-network-ads-6ee8/c2d0be52/?iid=003-487&v=presentation
    Explore at:
    Dataset updated
    Dec 2, 2016
    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 ‘Social Network Ads’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/rakeshrau/social-network-ads on 28 January 2022.

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

    Context

    There's a story behind every dataset and here's your opportunity to share yours.

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

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

  11. Social media ad spend worldwide 2021-2028

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Social media ad spend worldwide 2021-2028 [Dataset]. https://www.statista.com/statistics/271406/advertising-revenue-of-social-networks-worldwide/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In 2021, global social media advertising spending stood at around *** billion U.S. dollars. The source projected that this figure would more than double and exceed an all-time high of *** billion by 2028. Where to advertise in a sea of social media platforms? While there are many regional differences when it comes to social media usage and accessibility, some platforms reign supreme among users and advertisers alike. As of 2022, Facebook, YouTube, and Instagram were the most popular social networks worldwide. Thanks to their massive audiences, these Meta-owned properties also ranked among the leading social media platforms for marketers. What makes advertising via these channels so appealing is not only the prospect of boosting brand awareness and generating leads but also the possibility to strengthen brands’ relationships with consumers via direct communication. Spotlight on influencer marketing In addition to posting photos and videos on their social media accounts and interacting with followers, companies can also enlist the help of content creators to drive visibility and potentially unlock new audiences. Over the past few years, the global influencer marketing market value has expanded rapidly and is now sized at an estimated **** billion U.S. dollars. Instagram remains the primary playground for this creator-driven form of online marketing, though apps like TikTok are also becoming more appealing to brands from around the world.

  12. A

    ‘Social Network Ads’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Social Network Ads’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-social-network-ads-44a9/latest
    Explore at:
    Dataset updated
    Jan 28, 2022
    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 ‘Social Network Ads’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/d4rklucif3r/social-network-ads on 28 January 2022.

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

    The Dataset used in these models tells about whether a person of certain age having certain income purchases a product or not. We need to predict whether a targeted audience will purchase the product or not.

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

  13. Social Network Ads

    • kaggle.com
    Updated May 9, 2024
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    Divas Raut (2024). Social Network Ads [Dataset]. https://www.kaggle.com/datasets/divasraut/social-network-ads/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 9, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Divas Raut
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Divas Raut

    Released under CC0: Public Domain

    Contents

  14. U.S. advertising revenues of social networks 2017-2021

    • statista.com
    Updated Jan 6, 2023
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    Statista (2023). U.S. advertising revenues of social networks 2017-2021 [Dataset]. https://www.statista.com/statistics/271259/advertising-revenue-of-social-networks-in-the-us/
    Explore at:
    Dataset updated
    Jan 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2019, social network advertising revenue in the United States amounted to 36.14 billion U.S. dollars. This figure is projected to further grow and surpass 50 billion U.S. dollars by the end of 2021.

  15. Social network ad spend per user in the Middle East & Africa 2013-2016

    • statista.com
    Updated Sep 26, 2014
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    Statista (2014). Social network ad spend per user in the Middle East & Africa 2013-2016 [Dataset]. https://www.statista.com/statistics/325150/social-media-ad-spend-user-mea/
    Explore at:
    Dataset updated
    Sep 26, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2013
    Area covered
    Africa, MENA
    Description

    The statistic shows data on social media advertising spending per social network user in the Middle East and Africa in 2013 as well as a forecast thereof until 2016. The spending is expected to increase from 0.38 U.S. dollars in 2013 to 0.78 U.S. dollars in 2016.

  16. A

    ‘Social_Network_Ads’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 30, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Social_Network_Ads’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-social-network-ads-02fb/402de7e5/?iid=003-355&v=presentation
    Explore at:
    Dataset updated
    Sep 30, 2021
    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 ‘Social_Network_Ads’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/akram24/social-network-ads on 30 September 2021.

    --- No further description of dataset provided by original source ---

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

  17. Social media ad reach in Denmark 2025, by platform & gender

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Social media ad reach in Denmark 2025, by platform & gender [Dataset]. https://www.statista.com/statistics/1457673/social-media-advertising-reach-gender-denmark/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    As of early 2024, among the presented social networks, advertising on YouTube had the highest reach in Denmark, both among women and men, with ** and **** percent, respectively. On average, YouTube advertising reached over ** percent of adults from Denmark.

  18. Social Network Ads

    • kaggle.com
    Updated Aug 21, 2019
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    JacekBruzdzinski (2019). Social Network Ads [Dataset]. https://www.kaggle.com/jacekbruzdzinski/social-network-ads/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 21, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    JacekBruzdzinski
    Description

    Dataset

    This dataset was created by JacekBruzdzinski

    Contents

  19. Social Media Advertising Market Demand, Size and Competitive Analysis |...

    • techsciresearch.com
    Updated Feb 25, 2025
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    TechSci Research (2025). Social Media Advertising Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/social-media-advertising-market/15418.html
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Description

    Global Social Media Advertising market was valued at USD 374.01billion in 2024 and is expected to grow to USD 468.91 billion by 2030 with a CAGR of 3.90% during the forecast period

    Pages181
    Market Size2024: USD 374.01 Billion
    Forecast Market Size2030: USD 468.91 Billion
    CAGR2025-2030: 3.90%
    Fastest Growing SegmentInfluencer Advertising
    Largest MarketNorth America
    Key Players1. Pinterest, Inc. 2. Google LLC 3. Twitter International Unlimited Company 4. Snap Inc. 5. Meta Platforms, Inc 6. LinkedIn Corporation 7. Yahoo Inc. 8. Tencent Holdings Limited 9. Bytedance Ltd. 10. Kakao Corporation

  20. m

    Social Networking Market - Share, Size & Industry Analysis 2025 - 2030

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 17, 2025
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    Mordor Intelligence (2025). Social Networking Market - Share, Size & Industry Analysis 2025 - 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/global-social-networking-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    Social Networking Market Report is Segmented by Device Type (Smartphone, Tablet and More), Revenue Stream (Advertising, In-App Purchases and More), Platform Type (Traditional Social Networks, Media-Sharing Networks and More), User Demographics (13–24 Years, 25–34 Years and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Share
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Click to copy link
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Close
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Seifullah Bello (2024). social-network-ads [Dataset]. https://huggingface.co/datasets/saifhmb/social-network-ads

social-network-ads

saifhmb/social-network-ads

Explore at:
148 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 11, 2024
Authors
Seifullah Bello
Description

Dataset Card for Social Network Ads Dataset

  Dataset Summary

The Social Network Ads Dataset is an English Language dataset containing 400 entries of customer information and their purchasing behavior

  Dataset Structure





  Data Instances

For each instance, there is an integer for the age, an integer for the estimated salary, and the purchased feature has 2 possible values , 0 and 1 which correspond to No and Yes respectively. {'Age': '19'… See the full description on the dataset page: https://huggingface.co/datasets/saifhmb/social-network-ads.

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