Between January to July 2022, influencer videos constituted ** percent of video views on Facebook. Media company videos followed with ** percent of video views, while brand and aggregator content came last with *** percent.

As of the first half of 2020, native video had the highest level of user engagement, generating an average of ******* engagements. While embedded videos counted roughly ***** comments, live videos gathered ****** comments per video on average.

Introduction

Facebook Live Statistics: Facebook Live is transforming the way we connect online. It empowers users to broadcast live videos directly to their followers and connect with them in real time through comments and reactions. Launched in 2016, Facebook Live has rapidly become a vital resource for marketers, influencers, and content creators.

According to Facebook Live statistics, live videos generate six times more engagement than standard videos, showcasing their power to captivate audiences. Read this article to find out how you can leverage Facebook Live to enhance your online presence and foster meaningful interactions.

As of July 2022, the largest bulk of Facebook video views in the United States was continued for approximately ** percent by influencer-published videos. Videos created by media companies generated around ** percent of all Facebook views, while videos created by brands or aggregators generated ** percent of all the video views on Facebook as of the examined period.

Comprehensive YouTube channel statistics for FB Movies, featuring 954,000 subscribers and 214,081,178 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Entertainment category and is based in TH. Track 590 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Use our Facebook Posts dataset to access detailed information about individual Facebook posts, including content, hashtags, engagement metrics, and page details like name, category, and followers. Popular use cases include analyzing user engagement, tracking content trends, and studying page dynamics for strategic insights. Over 31M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Post ID Post Content & URL Date Posted Hashtags Number of Comments Number of Shares Likes & Reaction Counts (by type) Video View Count Page Name & Category Page Followers & Likes Page Verification Status Page Website & Contact Info Is Sponsored Post Attachments (Images/Videos) External Link Data And much more

On a brisk January morning, Sarah, a small business owner in Ohio, launched her very first Facebook ad. With a modest $150 budget, she was hoping to generate a few leads for her new skincare line. Within three days, her ad reached over 12,000 people, and she closed 18 sales,...

As of April 2020, Facebook brand accounts with between 5,000 and 10,000 followers had an average engagement rate of 1.12 percent on live videos, and a 0.59 percent engagement rate on pre-recorded videos. In comparison, Facebook brand accounts with over 100,000 followers had a 0.24 percent engagement rate on live videos and a 0.25 percent engagement rate on pre-recorded videos.

Access our extensive Facebook datasets that provide detailed information on public posts, pages, and user engagement. Gain insights into post performance, audience interactions, page details, and content trends with our ethically sourced data. Free samples are available for evaluation. Over 940M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

Post ID Post Content & URL Date Posted Hashtags Number of Comments Number of Shares Likes & Reaction Counts (by type) Video View Count Page Name & Category Page Followers & Likes Page Verification Status Page Website & Contact Info Is Sponsored Post Attachments (Images/Videos) External Link Data And much more

Introduction

Facebook Messenger Statistics: Facebook Messenger Statistics reveal that the app remains one of the top messaging platforms globally. It has over 1.3 billion active users monthly, showing its immense popularity. Users send billions of messages daily, including texts, photos, and videos. The statistics also show that the app supports millions of voice and video calls daily. On average, users spend about 20 minutes per day on Messenger.

Engaging features like stickers, emojis, and games keep users active. Additionally, Facebook Messenger Statistics highlight the app's extensive use by businesses for customer service and marketing through chatbots and direct chats.

During the fourth quarter of 2023, the number of daily active users on Facebook reached 2.1 billion, a minor increase on the previous quarter. When compared with the number of daily active users in the final quarter of 2022, the platform has gained around 100 million users. Facebook’s penetration rate for the United States in 2023 was 72.13 percent, up from 71.43 percent in 2022. The social network’s audience reach is projected to stand at 75.79 percent by 2027.

Most popular social media websites

As of May 2021, Facebook was the most used social media site in the United States, accounting for 71.8 percent of all social media visits. Ranking in second place was Pinterest with 12.4 percent, followed by Twitter and Instagram, with 9.15 percent and 3.82 percent, respectively. Although other sites remain popular, Facebook’s number of visits made it undoubtably the leading social media platform in terms of social media site visits.

For Generation Z and Millennials in the United States, Facebook was one of the least popular platforms used to connect with others. Gen Z and Millennials preferred video sharing platforms, specifically Snapchat, TikTok and YouTube.

Meta’s revenue

Facebook Inc was renamed as Meta in 2021, in a strategic step toward the metaverse. Meta Platforms is now the parent company of Facebook, Instagram, Facebook Messenger and WhatsApp amongst others, together being known as Meta’s Family of Apps.

Meta’s annual revenue for 2021 was 117.92 billion U.S. dollars, up from 85.97 billion in 2020. Within a decade, the company has increased its annual revenue by approximately 114 billion U.S. dollars. In the most recent fiscal year, Meta’s Family of Apps were responsible for over 115 billion U.S. dollars’ worth of Meta’s revenue.

In the first half of 2020, The Dodo was by far the most popular video page on Facebook, with over *** million engagements. Second on the list was Funniest Family Moments' video page, gathering roughly *** million engagements.

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.

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

UPDATED 08/12/2013: The editor of Indie Review Magazine, spoke with Facebook on 08/12/2013, and it was confirmed that the technical difficulities with the advertising account have been resolved.

They will be assisting in an investigation to handle the troll problem with the magazne's page, and the other difficulties the page has been experiencing as a direct result of the stalker's harassment.

Attached you will find screenshots of various ads that we've released on Facebook.

The conclusion: The software predicted a performance for all of the ads pictured of 0.01 - 0.03. Prior to having major issues with negative "SEO" tactics on our facebook page the software's predictions for advertising perforamnce was extremely accurate.

After we began experiencing the troll problem, the advertisements began to perform in a very unpredicatble, sporadic, and oftentimes schizophrenic fashion.

The same ad, with the swimsuit model, showed a sustained performance of 0.08 earlier in the day, and later in the evening, after a series of technial difficulties on Facebook's end (with our page) the perforamance of the ad shot down to 0.19.

We took video of the ads from the moment they began to run until we paused them after the money started to deplete at an alarming rate, and what we found was shocking.

In the first 30 minutes our page was growing at a rate of around 3 likes a second (which is what is expected for the predicted growth rate of the ad - 0.01 to 0.03). This rate of growth had been sustained for days in the past with a very similar ad.

Then suddenly the ad performance plunged to dismal numbers that do not accurately reflect the rate at which our likes were initially gained. Not on the specific day in question nor in the past (with the same or similar ad and page content).

At this time, we have paused all of our facebook ads and plan to thoroughly analyze this data.

As stated in a previous article, which is linked below, we cannot comment directly on the internal workings of Facebook's advertising platform as we do not have access to that system - but our data highly suggests that if someone is using bot accounts they can significantly impact page performance.

We have been relying heavily on our custom software pagacke to anaylze the sitaution, and with the help of my neural networks we were able to identify patterns which revealed problem areas and allowed us to adjust our advertising strategy so that our page would be less suspectible to negative SEO tactics.

UPDATE: 08/10/2013 Facebook will be speaking with the editor of Indie Review Magazine, they indicated that there were experiencing technical difficulties. These technical difficulties have been impacting our page for days, thus we've halted our experimentation and will update with another figshare article, once more information has been obtained.

Reference: 1. http://www.forbes.com/sites/davidthier/2012/08/01/facebook-investigating-claims-that-80-of-ad-clicks-come-from-bots/ 2. Previous figshare article: http://figshare.com/articles/Potential_Issues_with_FB_Advertising_Algorithms_/767331

This data set contains the complete Facebook Insights back-end download for The Salmon Project, an Alaska non-profit communications, outreach and social identity project. The Insights data from the organization's active period, 2013-2019, includes data for periods of time when the project's monthly reach exceeded 1 million people. Data includes page likes and unlikes, post and video engagements, full text of all posts, timestamps, and all other data made available by Facebook Insights. The data is suitable for statistical and psychographic analysis, particularly for researchers interested in self-identity as it relates conservation, natural resource use, communications and messaging strategy, and social change movements. All data in .csv format. Broken into 3 files per year for ease of download (Jan-Apr, May-Sep, Oct-Dec) for all years except 2019, which ends on 2019-10-31.

During the first quarter of 2024, Facebook Huge accounts, which had over ****** followers, reported to post approximately short-form videos, or Reel, every 2.6 days, and almost **** Reels per day. In comparison, Big accounts, which counted between ****** and ****** followers, posted **** Reels daily on average. Tiny accounts, which had a following of less than *** users, posted their Reels on Instagram approximately every five days, or **** Reels per day.

Please cite the following paper when using this dataset:N. Thakur, V. Su, M. Shao, K. Patel, H. Jeong, V. Knieling, and A.Bian “A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles,” arXiv [cs.CY], 2024. Available: https://doi.org/10.48550/arXiv.2406.07693AbstractThis dataset contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2024, and May 31, 2024. These websites primarily include YouTube and TikTok, which account for 48.6% and 15.2% of the videos, respectively. The remainder of the websites include Instagram and Facebook as well as the websites of various global and local news organizations. For each of these videos, the URL of the video, title of the post, description of the post, and the date of publication of the video are presented as separate attributes in the dataset. After developing this dataset, sentiment analysis (using VADER), subjectivity analysis (using TextBlob), and fine-grain sentiment analysis (using DistilRoBERTa-base) of the video titles and video descriptions were performed. This included classifying each video title and video description into (i) one of the sentiment classes i.e. positive, negative, or neutral, (ii) one of the subjectivity classes i.e. highly opinionated, neutral opinionated, or least opinionated, and (iii) one of the fine-grain sentiment classes i.e. fear, surprise, joy, sadness, anger, disgust, or neutral. These results are presented as separate attributes in the dataset for the training and testing of machine learning algorithms for performing sentiment analysis or subjectivity analysis in this field as well as for other applications. The paper associated with this dataset (please see the above-mentioned citation) also presents a list of open research questions that may be investigated using this dataset.

Problem Statement

The following Data Analysis of Marketing Campaigns is a part of the Assignment for Data Science Intern at Merkle Sokrati.

Objectives of the Task

• Carry out EDA and build ML model to evaluate the insights automatically.
• Prepare a summary of your Analysis and put that into a professional looking deck.

Content

Marketing campaigns containing data from Oct’19 to July’20. This data is from Google and Facebook campaigns which shows the performance of different Age-groups for different dimensions.

All the key fields like Platform, Type, Medium, Sub Channel, Audience, Creative have already been mapped to the data. - Platform: Marketing platforms on which campaigns are running majorly: Google Ads and Facebook Ads. - Type: Type of campaign, In this data, only Google search and Facebook Conversion campaigns have been considered. - Medium: The way we are connecting to people in our Marketing campaigns either via some Keywords or Creatives. - Sub Channel: Subchannel is under Google Search which type of keywords have been targeted, In Facebook which on subchannel we are targeting. - Audience: Multiple Type of audiences are getting targeted in different campaigns and those have been encrypted as Audience 1,2,3. - Creative: This if for Facebook what type of Image/Video/Carousel we are using in our Ads.

Acknowledgements

Merkle Sokrati has been sending these assignments for data analyst, data science intern positions and not replying back after the submission. So why not democratize my work and save other's time.

The global video live social platform market is experiencing robust growth, driven by the increasing adoption of smartphones, rising internet penetration, and the surging popularity of live streaming content across various demographics. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors: the continuous innovation in live streaming technologies offering enhanced user experiences (e.g., improved video quality, interactive features, and AR/VR integration); the growing preference for real-time engagement and interaction among users; and the increasing integration of live streaming into various sectors, including e-commerce, education, and entertainment. The mobile segment currently dominates the market, owing to the widespread accessibility of smartphones, while the "free with in-app purchases" model represents a significant revenue stream for platform providers. However, challenges remain, including concerns over content moderation, maintaining user engagement amidst platform saturation, and ensuring data privacy and security. Competition within the market is intense, with established players like Facebook Live, Instagram Live, and YouTube Live competing with newer entrants vying for market share. Geographic growth is uneven, with North America and Asia-Pacific exhibiting the highest adoption rates due to high internet penetration and a tech-savvy populace. However, increasing smartphone penetration in developing economies presents significant growth opportunities in regions such as South America, Africa, and parts of Asia. The market is also segmented by monetization strategies, with "free with in-app purchases" models becoming increasingly prevalent. Future growth will depend on continuous innovation, effective content moderation strategies, and a focus on enhancing user experiences to overcome challenges related to data privacy and security. Strategic partnerships and acquisitions are also expected to play a significant role in shaping the competitive landscape in the coming years.