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 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.

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.

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

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

This statistic presents the length of top performing videos on Facebook worldwide from 2017 to 2019, by reaction type. In 2017, the average length of top performing videos to receive the reaction type on Facebook known as "love" was *** seconds. By the end of February 2019, the video duration of the top "loved" videos had decreased to a total of ** seconds.

The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

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,...

According to a 2024 study of Reels hosted on Meta platforms Facebook and Instagram, the highest average video views on either platform were in the *********************, especially at ********. Instagram Reels that were published at *********generated approximately ****** views on average, while Facebook Reels published at the same time received approximately half of the views, or ****** on average during the first quarter of 2024. However, the most popular posting time for content creators was *** in the afternoon, with ******* Reels published on Instagram and ****** Reels published on Facebook at that time, respectively.

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.

Image and video posts were the most engaging kind of Facebook page post in Poland in 2024, with a **** percent engagement rate.

Facebook, the most widely used social media platform, has been adopted by public health organisations for health promotion and behaviour change campaigns and activities. However, limited information is available on the most effective and efficient use of Facebook for this purpose. This study sought to identify the features of Facebook posts that are associated with higher user engagement on Australian public health organisations’ Facebook pages. We selected 20 eligible pages through a systematic search and coded 360-days of posts for each page. Posts were coded by: post type (e.g., photo, text only etc.), communication technique employed (e.g. testimonial, informative etc.) and use of marketing elements (e.g., branding, use of mascots). A series of negative binomial regressions were used to assess associations between post characteristics and user engagement as measured by the number of likes, shares and comments. Our results showed that video posts attracted the greatest amount of user engagement, although an analysis of a subset of the data suggested this may be a reflection of the Facebook algorithm, which governs what is and is not shown in user newsfeeds and appear to preference videos over other post types. Posts that featured a positive emotional appeal or provided factual information attracted higher levels of user engagement, while conventional marketing elements, such as sponsorships and the use of persons of authority, generally discouraged user engagement, with the exception of posts that included a celebrity or sportsperson. Our results give insight into post content that maximises user engagement and begins to fill the knowledge gap on effective use of Facebook by public health organisations.

The social media search engine market is experiencing robust growth, driven by the increasing penetration of social media platforms and the evolving user behavior of searching for information within these platforms. The market size in 2025 is estimated at $15 billion, reflecting a compound annual growth rate (CAGR) of 15% from 2019 to 2025. This growth is fueled by several key factors. Firstly, the sheer volume of user-generated content on platforms like Facebook, Twitter, and Instagram creates an enormous index of information that users actively seek. Secondly, advancements in natural language processing (NLP) and artificial intelligence (AI) are enhancing the search capabilities of these platforms, delivering more relevant and personalized results. Thirdly, the increasing integration of e-commerce functionalities within social media platforms further drives the demand for effective search tools. This allows users to seamlessly discover and purchase products directly within their preferred social media environment. Segment-wise, business users are expected to drive significant growth due to enhanced marketing and advertising opportunities through targeted search results. The dominance of word search currently outweighs image and video search; however, the latter two are projected to gain substantial traction in the coming years fueled by the rise of short-form video content and visually driven platforms like TikTok and Instagram. Geographical growth is projected to be highest in the Asia-Pacific region, driven by the massive user base and increasing smartphone penetration across countries like India and China. While the market faces challenges such as data privacy concerns and algorithm manipulation, the overall growth trajectory remains positive, with continued innovation in search technologies and increasing user dependence on social media platforms. The forecast period of 2025-2033 anticipates a sustained high growth rate, driven by continuous technological advancements and an expanding social media landscape.

In the first half of 2020, the most engaged Facebook video worldwide was published by Blossom, headlined, "13 genius gardening hacks that you’ll be glad to know!", which gathered over *** million engagements across the social media platform.

Introduction

YouTube Creator Statistics: The overall Creator Economy rose to fame since the COVID-19 pandemic era, 4 years ago. When every other person was stuck in their home and scrolling through social media. It is expected that by 2027, this sector will reach $480 billion, and it has no signs of slowing down. Using the internet, many people are creating a source of income by making videos and uploading them to video content platforms, such as TikTok, Moj, YouTube, Instagram, Facebook, etc.

YouTube is one of the video content platforms. It was launched on 14 February 2005 by Steve Chen, Chad Hurley, and Jawed Karim. YouTube helped content creators around the world earn passive income by making videos and uploading them on the platform. For some creators, YouTube acts as the primary source of income. You’ll understand more about YouTube Creator Statistics by the data provided below.

Introduction

YouTube Statistics: YouTube dominates the digital landscape with 2.70 billion monthly active users among the world population in mid-2025, making it the second-largest search engine after Google and the second social platform, following Facebook, across the world.

People watch more than 1 billion hours of video on YouTube, that’s a million years of attention span. With over 20 million new videos uploaded to the platform every day, the YouTube content ecosystem is practically endless. Short-form video lovers have not been ignored.

With an astonishing 70 billion views a day on YouTube shorts, these viewers are generating a new level of interactions and engagement across the platform. Of course, mobile dominates; 63% of watch time happens on mobile devices. With over 100 million subscribers to YouTube Premium and YouTube Music, in addition to free, YouTube is indeed a premium entertainment platform.

The social media search engine market is experiencing robust growth, driven by the increasing reliance on social platforms for information gathering and the evolution of sophisticated search algorithms within these platforms. The market, while difficult to precisely quantify due to the interwoven nature of search functionality within social media platforms (many don't offer dedicated search engines), is estimated to be valued at approximately $50 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors: the expanding user base of social media platforms, the increasing sophistication of social media search algorithms (better understanding of natural language queries and visual search capabilities), and the rise of social commerce, which intrinsically relies on effective search within social networks to discover products and services. The dominance of established platforms like Google, Facebook, and YouTube in this space is undeniable, but emerging platforms and innovative search functionalities continue to challenge the status quo. Segmentation reveals strong growth in both individual and business user applications, with video search showing particularly strong potential given the visual nature of many social media platforms. However, the market also faces restraints. Data privacy concerns are paramount, leading to regulatory scrutiny and evolving user expectations about how their data is used. Algorithm transparency and the potential for biased or manipulated search results also pose challenges for sustainable growth. Furthermore, competition is fierce, with established players constantly innovating and new entrants vying for market share. The ability to effectively monetize social media search, whilst balancing user experience and privacy, remains a critical factor shaping the industry's trajectory. Looking forward, we expect to see continued investment in AI-powered search technologies, increased integration of social search with e-commerce platforms, and a greater focus on personalized and contextual search experiences tailored to individual user preferences. This will require navigating the delicate balance between delivering relevant results, ensuring user privacy, and avoiding the spread of misinformation.

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.

The top ten Facebook posts by brands generated **** million actions on owned content. Blossom accounted for *** of the top ten spots with plant- or food-related video content, while the American Music Awards was ranked first with **** million actions.

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