100+ datasets found
  1. Social Media Engagement Report

    • kaggle.com
    zip
    Updated Apr 13, 2024
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    Ali Reda Elblgihy (2024). Social Media Engagement Report [Dataset]. https://www.kaggle.com/datasets/aliredaelblgihy/social-media-engagement-report
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    zip(49114657 bytes)Available download formats
    Dataset updated
    Apr 13, 2024
    Authors
    Ali Reda Elblgihy
    License

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

    Description

    *****Documentation Process***** 1. Data Preparation: - Upload the data into Power Query to assess quality and identify duplicate values, if any. - Verify data quality and types for each column, addressing any miswriting or inconsistencies. 2. Data Management: - Duplicate the original data sheet for future reference and label the new sheet as the "Working File" to preserve the integrity of the original dataset. 3. Understanding Metrics: - Clarify the meaning of column headers, particularly distinguishing between Impressions and Reach, and comprehend how Engagement Rate is calculated. - Engagement Rate formula: Total likes, comments, and shares divided by Reach. 4. Data Integrity Assurance: - Recognize that Impressions should outnumber Reach, reflecting total views versus unique audience size. - Investigate discrepancies between Reach and Impressions to ensure data integrity, identifying and resolving root causes for accurate reporting and analysis. 5. Data Correction: - Collaborate with the relevant team to rectify data inaccuracies, specifically addressing the discrepancy between Impressions and Reach. - Engage with the concerned team to understand the root cause of discrepancies between Impressions and Reach. - Identify instances where Impressions surpass Reach, potentially attributable to data transformation errors. - Following the rectification process, meticulously adjust the dataset to reflect the corrected Impressions and Reach values accurately. - Ensure diligent implementation of the corrections to maintain the integrity and reliability of the data. - Conduct a thorough recalculation of the Engagement Rate post-correction, adhering to rigorous data integrity standards to uphold the credibility of the analysis. 6. Data Enhancement: - Categorize Audience Age into three groups: "Senior Adults" (45+ years), "Mature Adults" (31-45 years), and "Adolescent Adults" (<30 years) within a new column named "Age Group." - Split date and time into separate columns using the text-to-columns option for improved analysis. 7. Temporal Analysis: - Introduce a new column for "Weekend and Weekday," renamed as "Weekday Type," to discern patterns and trends in engagement. - Define time periods by categorizing into "Morning," "Afternoon," "Evening," and "Night" based on time intervals. 8. Sentiment Analysis: - Populate blank cells in the Sentiment column with "Mixed Sentiment," denoting content containing both positive and negative sentiments or ambiguity. 9. Geographical Analysis: - Group countries and obtain additional continent data from an online source (e.g., https://statisticstimes.com/geography/countries-by-continents.php). - Add a new column for "Audience Continent" and utilize XLOOKUP function to retrieve corresponding continent data.

    *****Drawing Conclusions and Providing a Summary*****

    • The data is equally distributed across different categories, platforms, and over the years.
    • Most of our audience comprises senior adults (aged 45 and above).
    • Most of our audience exhibit mixed sentiments about our posts. However, an equal portion expresses consistent sentiments.
    • The majority of our posts were located in Africa.
    • The number of posts increased from the first year to the second year and remained relatively consistent for the third year.
    • The optimal time for posting is during the night on weekdays.
    • The highest engagement rates were observed in Croatia then Malawi.
    • The number of posts targeting senior adults is significantly higher than the other two categories. However, the engagement rates for mature and adolescent adults are also noteworthy, based on the number of targeted posts.
  2. Number of global social network users 2017-2028

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How many people use social media?

                  Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.
    
                  Who uses social media?
                  Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
                  when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.
    
                  How much time do people spend on social media?
                  Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.
    
                  What are the most popular social media platforms?
                  Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.
    
  3. Planned changes in use of selected social media for organic marketing...

    • statista.com
    • de.statista.com
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    Christopher Ross, Planned changes in use of selected social media for organic marketing worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Christopher Ross
    Description

    During a January 2024 global survey among marketers, nearly 60 percent reported plans to increase their organic use of YouTube for marketing purposes in the following 12 months. LinkedIn and Instagram followed, respectively mentioned by 57 and 56 percent of the respondents intending to use them more. According to the same survey, Facebook was the most important social media platform for marketers worldwide.

  4. Global social network penetration 2019-2028

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Global social network penetration 2019-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The global social media penetration rate in was forecast to continuously increase between 2024 and 2028 by in total 11.6 (+18.19 percent). After the ninth consecutive increasing year, the penetration rate is estimated to reach 75.31 and therefore a new peak in 2028. Notably, the social media penetration rate of was continuously increasing over the past years.

  5. Social media as a news outlet worldwide 2024

    • statista.com
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    Amy Watson, Social media as a news outlet worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Amy Watson
    Description

    During a 2024 survey, 77 percent of respondents from Nigeria stated that they used social media as a source of news. In comparison, just 23 percent of Japanese respondents said the same. Large portions of social media users around the world admit that they do not trust social platforms either as media sources or as a way to get news, and yet they continue to access such networks on a daily basis.

                  Social media: trust and consumption
    
                  Despite the majority of adults surveyed in each country reporting that they used social networks to keep up to date with news and current affairs, a 2018 study showed that social media is the least trusted news source in the world. Less than 35 percent of adults in Europe considered social networks to be trustworthy in this respect, yet more than 50 percent of adults in Portugal, Poland, Romania, Hungary, Bulgaria, Slovakia and Croatia said that they got their news on social media.
    
                  What is clear is that we live in an era where social media is such an enormous part of daily life that consumers will still use it in spite of their doubts or reservations. Concerns about fake news and propaganda on social media have not stopped billions of users accessing their favorite networks on a daily basis.
                  Most Millennials in the United States use social media for news every day, and younger consumers in European countries are much more likely to use social networks for national political news than their older peers.
                  Like it or not, reading news on social is fast becoming the norm for younger generations, and this form of news consumption will likely increase further regardless of whether consumers fully trust their chosen network or not.
    
  6. S

    Social Media Statistics 2025:Platforms, Users, and Behaviors

    • sqmagazine.co.uk
    Updated Oct 1, 2025
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    SQ Magazine (2025). Social Media Statistics 2025:Platforms, Users, and Behaviors [Dataset]. https://sqmagazine.co.uk/social-media-statistics/
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    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    In 2004, a Harvard student launched a platform that would go on to redefine how humans connect. Fast forward to 2025, social media isn't just a way to stay in touch, it’s where people shop, learn, protest, play, and even find love. From early-morning scrolls to late-night reels, platforms have...

  7. Social Media Engagement (2025)

    • kaggle.com
    Updated Mar 21, 2025
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    Damla Ağaça (2025). Social Media Engagement (2025) [Dataset]. https://www.kaggle.com/datasets/dagaca/social-media-engagement-2025
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 21, 2025
    Dataset provided by
    Kaggle
    Authors
    Damla Ağaça
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Social Media Engagement (2025)

    This dataset contains 20,000 synthetic social media posts crafted to mimic realistic user activity on a fictional platform. It simulates various user demographics, post content, hashtags, topics, and detailed engagement metrics such as likes, comments, and shares.

    Overview

    Each record represents a unique social media post made by a user, enriched with features that allow for analysis of trends, behavior, and engagement. The dataset includes:

    • User-level information: age, gender, followers, verified status, etc.
    • Post-level information: topic, hashtags, media, engagement
    • Platform and device data
    • Calculated engagement rate

    Column Descriptions

    ColumnDescription
    post_idUnique identifier for each post
    user_idUnique identifier for each user
    user_nameSynthetic username
    user_genderGender of the user (Male, Female, Other)
    user_ageAge of the user (16–60)
    followers_countNumber of followers the user has
    following_countNumber of accounts the user follows
    account_creation_dateAccount registration date
    is_verifiedBoolean flag for verified users
    locationCity or region where the user is located
    topicMain topic of the post (e.g., Travel, Food, Fashion, etc.)
    post_contentActual content of the post
    content_lengthNumber of characters in the post content
    hashtagsRelevant hashtags used in the post
    has_mediaWhether the post includes image or video
    post_dateTimestamp of when the post was made
    deviceDevice used to make the post (e.g., iPhone, Android)
    languageLanguage of the post
    likesNumber of likes received
    commentsNumber of comments received
    sharesNumber of times the post was shared
    engagement_rateNormalized metric: (likes + comments + shares) / followers_count
  8. S

    Social Media Algorithm Impact Statistics 2025: How Engagement Just Changed...

    • sqmagazine.co.uk
    Updated Aug 12, 2025
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    SQ Magazine (2025). Social Media Algorithm Impact Statistics 2025: How Engagement Just Changed Forever [Dataset]. https://sqmagazine.co.uk/social-media-algorithm-impact-statistics/
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    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    Social media algorithms now shape the information we see. In 2025, over 5.4 billion people will engage with personalized feeds daily, each tailored by complex models that sort, amplify, or bury content based on real-time behavior. These algorithms affect everything from advertising campaigns to political messaging, and even how quickly...

  9. 🚀 Viral Social Media Trends & Engagement Analysis

    • kaggle.com
    zip
    Updated May 23, 2025
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    Atharva Soundankar (2025). 🚀 Viral Social Media Trends & Engagement Analysis [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/viral-social-media-trends-and-engagement-analysis
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    zip(230834 bytes)Available download formats
    Dataset updated
    May 23, 2025
    Authors
    Atharva Soundankar
    License

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

    Description

    This dataset captures the pulse of viral social media trends across TikTok, Instagram, Twitter, and YouTube. It provides insights into the most popular hashtags, content types, and user engagement levels, offering a comprehensive view of how trends unfold across platforms. With regional data and influencer-driven content, this dataset is perfect for:

    • Trend analysis 🔍
    • Sentiment modeling 💭
    • Understanding influencer marketing 📈

    Dive in to explore what makes content go viral, the behaviors that drive engagement, and how trends evolve on a global scale! 🌍

  10. Average daily time spent on social media worldwide 2012-2024

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Average daily time spent on social media worldwide 2012-2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How much time do people spend on social media?

                  As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
                  the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
                  People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
                  During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.
    
  11. Global News Engagement on Social Media

    • kaggle.com
    zip
    Updated Mar 15, 2024
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    Kanchana1990 (2024). Global News Engagement on Social Media [Dataset]. https://www.kaggle.com/datasets/kanchana1990/global-news-engagement-on-social-media
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    zip(267156 bytes)Available download formats
    Dataset updated
    Mar 15, 2024
    Authors
    Kanchana1990
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    This comprehensive dataset offers a deep dive into the social media engagement metrics of nearly 4,000 posts from four of the world's leading news channels: CNN, BBC, Al Jazeera, and Reuters. Curated to provide a holistic view of global news interaction on social media, the collection stands out for its meticulous assembly and broad spectrum of content.

    Dataset Overview: Spanning various global events, topics, and narratives, this dataset is a snapshot of how news is consumed and interacted with on social media platforms. It serves as a rich resource for analyzing trends, engagement patterns, and the dissemination of information across international borders.

    Data Science Applications: Ideal for researchers and enthusiasts in the fields of data science, media studies, and social analytics, this dataset opens doors to numerous explorations such as engagement analysis, trend forecasting, content strategy optimization, and the study of information flow in digital spaces. It also holds potential for machine learning projects aiming to predict engagement or classify content based on interaction metrics.

    Column Descriptors: Each record in the dataset is detailed with the following columns: - text: The title or main content of the post. - likes: The number of likes each post has garnered. - comments: The number of comments left by viewers. - shares: How many times the post has been shared.

    Ethically Mined Data: The collection of this dataset was conducted with the highest ethical standards in mind, ensuring compliance with data privacy laws and platform policies. By anonymizing data where necessary and focusing solely on publicly available information, it respects both individual privacy and intellectual property rights.

    Special thanks are extended to the Facebook platform and the respective news channels for their openness and the rich public data they provide. This dataset not only celebrates the vibrant exchange on social media but also underscores the importance of responsible data use and sharing in fostering understanding and innovation.

  12. f

    Raw data-Minority representation and social media engagement

    • uvaauas.figshare.com
    zip
    Updated Sep 17, 2024
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    S. Mokarram Dorri; Nick J.F. Bombaij (2024). Raw data-Minority representation and social media engagement [Dataset]. http://doi.org/10.21942/uva.26482732.v1
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    zipAvailable download formats
    Dataset updated
    Sep 17, 2024
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    S. Mokarram Dorri; Nick J.F. Bombaij
    License

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

    Description

    The excel files represent the raw datasets.

  13. Social Media Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 7, 2022
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    Bright Data (2022). Social Media Datasets [Dataset]. https://brightdata.com/products/datasets/social-media
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

    Dataset Features

    User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

    Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

    Popular Use Cases

    Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

    Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  14. Leading social media usage reasons worldwide 2024

    • statista.com
    • de.statista.com
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    Stacy Jo Dixon, Leading social media usage reasons worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    A global survey conducted in the third quarter of 2024 found that the main reason for using social media was to keep in touch with friends and family, with over 50.8 percent of social media users saying this was their main reason for using online networks. Overall, 39 percent of social media users said that filling spare time was their main reason for using social media platforms, whilst 34.5 percent of respondents said they used it to read news stories. Less than one in five users were on social platforms for the reason of following celebrities and influencers.

                  The most popular social network
    
                  Facebook dominates the social media landscape. The world's most popular social media platform turned 20 in February 2024, and it continues to lead the way in terms of user numbers. As of February 2025, the social network had over three billion global users. YouTube, Instagram, and WhatsApp follow, but none of these well-known brands can surpass Facebook’s audience size.
                  Moreover, as of the final quarter of 2023, there were almost four billion Meta product users.
    
                  Ever-evolving social media usage
    
                  The utilization of social media remains largely gratuitous; however, companies have been encouraging users to become paid subscribers to reduce dependence on advertising profits. Meta Verified entices users by offering a blue verification badge and proactive account protection, among other things. X (formerly Twitter), Snapchat, and Reddit also offer users the chance to upgrade their social media accounts for a monthly free.
    
  15. S

    Social Media Marketing Statistics 2025: Trends, Metrics, and Analysis

    • sqmagazine.co.uk
    Updated Oct 1, 2025
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    SQ Magazine (2025). Social Media Marketing Statistics 2025: Trends, Metrics, and Analysis [Dataset]. https://sqmagazine.co.uk/social-media-marketing-statistics/
    Explore at:
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    On a foggy morning in early January 2025, a small fitness brand in Austin, Texas, posted a short behind-the-scenes clip on TikTok. Within 48 hours, that video had over 2.3 million views, tripled their followers, and caused their website to crash from unexpected traffic. It wasn’t a stroke of luck,...

  16. Data from: Social Media Engagement

    • kaggle.com
    zip
    Updated Aug 3, 2025
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    Sourabh Kaithvas (2025). Social Media Engagement [Dataset]. https://www.kaggle.com/datasets/saurabhkaithvas/social-media-engagement
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    zip(395196 bytes)Available download formats
    Dataset updated
    Aug 3, 2025
    Authors
    Sourabh Kaithvas
    License

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

    Description

    This dataset focuses on analyzing user engagement trends across major social media platforms like Instagram, Twitter, and Facebook. It includes data related to likes, Comments, Shares and other metrics that indicate how users interact with content online.

    The goal of this dataset is to explore patterns in social media behavior, understand content performance, and support research in digital marketing, user behavior analytics, and social media strategy.

    This dataset was created as part of an academic project and includes:

    • Engagement metrics (likes, Shares, Comments)

    • Time-based trends

    • User categories (influencers, brands, regular users)

    • Platform-specific observations (Instagram, Twitter, Facebook)

    All data is either simulated or compiled from publicly available sources and does not include any personal or sensitive user information.

  17. S

    Gen Z Social Media Statistics 2025: Platforms, Behaviors & Trends

    • sqmagazine.co.uk
    Updated Oct 2, 2025
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    SQ Magazine (2025). Gen Z Social Media Statistics 2025: Platforms, Behaviors & Trends [Dataset]. https://sqmagazine.co.uk/gen-z-social-media-statistics/
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    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    Picture a high school hallway during lunch break. Heads down, thumbs scrolling, earbuds in. This isn’t boredom, it’s engagement. For Generation Z, social media isn’t just a way to stay connected; it’s how they navigate identity, find entertainment, and even make purchasing decisions. Born between 1997 and 2012, Gen Z...

  18. S

    Social media profile growth, engagement rate, and reach

    • data.sugarlandtx.gov
    xlsx
    Updated Jan 3, 2024
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    Communications and Community Engagement (2024). Social media profile growth, engagement rate, and reach [Dataset]. https://data.sugarlandtx.gov/dataset/social-media-profile-growth-engagement-rate-and-reach
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    xlsxAvailable download formats
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Communications and Community Engagement
    License

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

    Description

    Profile growth - the growth on our social platforms to see where and when we're gaining followers. Engagement rate - a ratio of how many people interacted with ours posts based on when users are usually online. Reach - the number of feeds our posts appeared in (doesn't mean people interacted with the post).

  19. Social Media Platforms in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Nov 15, 2025
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    IBISWorld (2025). Social Media Platforms in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/social-media-platforms-industry/
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    Dataset updated
    Nov 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United Kingdom
    Description

    Over the five years through 2025-26, industry revenue is forecast to expand at a compound annual rate of 20.3% to reach £12.5 billion. Social media platforms are integral to people's lives, offering ways to communicate, create and view content and share information. According to Ofcom, approximately 89% of UK internet users in 2023 used social media apps or sites. Teenagers and young adults are the biggest users. Advertising is the primary revenue source for social media platforms, although subscription-based services are gaining momentum as platforms seek to diversify their incomes. TikTok is the success story of the past five years, becoming the most downloaded app between 2020 and 2022, according to Apptopia. The short-form video platform has over 30 million monthly users in the UK in 2025. After Musk's takeover, X, formerly known as Twitter, adjusted its content moderation and allowed previously banned accounts to return. As a result, over 600 advertisers pulled their ads from the site because of fears their brand may be associated with malcontent. In response to falling ad revenue, X has introduced a subscription-based service which enables users to verify themselves and boosts the number of people who view their tweets. Meta-owned Facebook and Instagram have responded by introducing a similar service. In 2025, more social media platforms are using AI to boost user engagement. This improves click-through rates and drives higher advertising revenue. Industry revenue is expected to grow by 6.3% in 2025-26. Over the five years through 2030-31, social media platforms' revenue is projected to climb at an estimated 9.2% to reach £19.4 billion. Regulations relating to how data is collected, stored, and shared will force advertisers and platforms to rethink how they can target their desired demographics. The tightening of regulations will raise industry compliance costs, weighing on profit margin. Older age groups present a new revenue opportunity for social media platforms if they can bridge the gap between passive TV consumption and interactive digital engagement. Augmented Reality (AR) technology will move beyond filters to become standard for immersive product trials, interactive ads, and virtual meetups

  20. G

    Influencer Engagement Time Series

    • gomask.ai
    csv, json
    Updated Nov 17, 2025
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    GoMask.ai (2025). Influencer Engagement Time Series [Dataset]. https://gomask.ai/marketplace/datasets/influencer-engagement-time-series
    Explore at:
    csv(10 MB), jsonAvailable download formats
    Dataset updated
    Nov 17, 2025
    Dataset provided by
    GoMask.ai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2024 - 2025
    Area covered
    Global
    Variables measured
    brand_id, platform, timestamp, brand_name, content_id, campaign_id, content_type, campaign_name, engagement_id, influencer_id, and 13 more
    Description

    This dataset provides granular, hourly influencer engagement metrics across major social media platforms, including detailed audience demographics and campaign associations. Brands and agencies can leverage this data for AI-powered analysis of peak activity times, audience response profiles, and campaign effectiveness, enabling data-driven marketing strategies and influencer selection.

Share
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Email
Click to copy link
Link copied
Close
Cite
Ali Reda Elblgihy (2024). Social Media Engagement Report [Dataset]. https://www.kaggle.com/datasets/aliredaelblgihy/social-media-engagement-report
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Social Media Engagement Report

Analyzing Trends, Patterns, and Strategies for Optimal Social Media Engagement

Explore at:
34 scholarly articles cite this dataset (View in Google Scholar)
zip(49114657 bytes)Available download formats
Dataset updated
Apr 13, 2024
Authors
Ali Reda Elblgihy
License

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

Description

*****Documentation Process***** 1. Data Preparation: - Upload the data into Power Query to assess quality and identify duplicate values, if any. - Verify data quality and types for each column, addressing any miswriting or inconsistencies. 2. Data Management: - Duplicate the original data sheet for future reference and label the new sheet as the "Working File" to preserve the integrity of the original dataset. 3. Understanding Metrics: - Clarify the meaning of column headers, particularly distinguishing between Impressions and Reach, and comprehend how Engagement Rate is calculated. - Engagement Rate formula: Total likes, comments, and shares divided by Reach. 4. Data Integrity Assurance: - Recognize that Impressions should outnumber Reach, reflecting total views versus unique audience size. - Investigate discrepancies between Reach and Impressions to ensure data integrity, identifying and resolving root causes for accurate reporting and analysis. 5. Data Correction: - Collaborate with the relevant team to rectify data inaccuracies, specifically addressing the discrepancy between Impressions and Reach. - Engage with the concerned team to understand the root cause of discrepancies between Impressions and Reach. - Identify instances where Impressions surpass Reach, potentially attributable to data transformation errors. - Following the rectification process, meticulously adjust the dataset to reflect the corrected Impressions and Reach values accurately. - Ensure diligent implementation of the corrections to maintain the integrity and reliability of the data. - Conduct a thorough recalculation of the Engagement Rate post-correction, adhering to rigorous data integrity standards to uphold the credibility of the analysis. 6. Data Enhancement: - Categorize Audience Age into three groups: "Senior Adults" (45+ years), "Mature Adults" (31-45 years), and "Adolescent Adults" (<30 years) within a new column named "Age Group." - Split date and time into separate columns using the text-to-columns option for improved analysis. 7. Temporal Analysis: - Introduce a new column for "Weekend and Weekday," renamed as "Weekday Type," to discern patterns and trends in engagement. - Define time periods by categorizing into "Morning," "Afternoon," "Evening," and "Night" based on time intervals. 8. Sentiment Analysis: - Populate blank cells in the Sentiment column with "Mixed Sentiment," denoting content containing both positive and negative sentiments or ambiguity. 9. Geographical Analysis: - Group countries and obtain additional continent data from an online source (e.g., https://statisticstimes.com/geography/countries-by-continents.php). - Add a new column for "Audience Continent" and utilize XLOOKUP function to retrieve corresponding continent data.

*****Drawing Conclusions and Providing a Summary*****

  • The data is equally distributed across different categories, platforms, and over the years.
  • Most of our audience comprises senior adults (aged 45 and above).
  • Most of our audience exhibit mixed sentiments about our posts. However, an equal portion expresses consistent sentiments.
  • The majority of our posts were located in Africa.
  • The number of posts increased from the first year to the second year and remained relatively consistent for the third year.
  • The optimal time for posting is during the night on weekdays.
  • The highest engagement rates were observed in Croatia then Malawi.
  • The number of posts targeting senior adults is significantly higher than the other two categories. However, the engagement rates for mature and adolescent adults are also noteworthy, based on the number of targeted posts.
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