In 2021, Twitter generated more than 4.5 billion U.S. dollars in advertising service revenues, up from 3.2 billion U.S. dollars in the previous year. Additionally, the micro-blogging platform produced around 571 million U.S. dollars in data licensing revenue, up from 508 million U.S. dollars in 2020.

The revenue of Twitter, Inc. with headquarters in the United States amounted to 5.08 billion U.S. dollars in 2021. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2017 this is a total increase by approximately 2.64 billion U.S. dollars. The trend from 2017 to 2021 shows, furthermore, that this increase happened continuously.

In the second quarter of 2022, X/Twitter's revenue amounted to over 1.17 billion U.S. dollars. The platform's majority of the social network’s revenues are generated via advertising, followed by data licensing and other revenues.

X/Twitter company information X/Twitter ranks among the biggest social networks worldwide. As of the second quarter of 2021, the company reported 206 million monetizable daily active users worldwide. In 2020, Twitter’s annual revenue came to 3.72 billion U.S. dollars. However, the company has only been able to report a positive net income in 2018 and 2019, revealing a struggle to monetize users.

X/Twitter marketing and advertising Social media advertising spending in the United States is constantly growing. In 2019, the social media ad spend per U.S. internet user amounted to 129.1 U.S. dollars and this figure is projected to sharply increase to over 174 U.S. dollars by 2024. Along with Instagram, X/Twitter is a popular marketing channel and some brands and companies have made a name for themselves for being entertaining on Twitter.

In 2021, X's (formerly Twitter) annual net loss amounted to *** million U.S. dollars. Overall, this is a significant decrease from the previous year, in which the micro blogging and social network company saw losses of almost *** billion U.S. dollars.

Advertising makes up 89% of its total revenue and data licensing makes up about 11%.

This statistic provides data on Twitter's advertising revenue in the United States from 2017 to 2021. In 2018, the microblogging website earned an estimated 1.32 billion U.S. dollars with U.S. advertising and is expected to reach 1.78 billion U.S. dollars in 2021.

These are the key Twitter user statistics that you need to know.

These Twitter user statistics will give you the complete story of where Twitter is at today and what the future looks like for the social media company.

This is the breakdown of Twitter users by age group.

The platform is male-dominated with 68.1% of all Twitter users being male. Just 31.9% of Twitter users are female.

Twitter is ranked as the 12h most popular social media site in the world. The platform currently has 611 million active monthly users.

Author: Víctor Yeste. Universitat Politècnica de Valencia.The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in online media and the possible prediction of the selected success variables.In this case, due to the need to integrate data from two separate areas, such as web publishing and the analysis of their shares and related topics on Twitter, has opted for programming as you access both the Google Analytics v4 reporting API and Twitter Standard API, always respecting the limits of these.The website analyzed is hellofriki.com. It is an online media whose primary intention is to solve the need for information on some topics that provide daily a vast number of news in the form of news, as well as the possibility of analysis, reports, interviews, and many other information formats. All these contents are under the scope of the sections of cinema, series, video games, literature, and comics.This dataset has contributed to the elaboration of the PhD Thesis:Yeste Moreno, VM. (2021). Diseño de una metodología cibermétrica de cálculo del éxito para la optimización de contenidos web [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/176009Data have been obtained from each last-minute news article published online according to the indicators described in the doctoral thesis. All related data are stored in a database, divided into the following tables:tesis_followers: User ID list of media account followers.tesis_hometimeline: data from tweets posted by the media account sharing breaking news from the web.status_id: Tweet IDcreated_at: date of publicationtext: content of the tweetpath: URL extracted after processing the shortened URL in textpost_shared: Article ID in WordPress that is being sharedretweet_count: number of retweetsfavorite_count: number of favoritestesis_hometimeline_other: data from tweets posted by the media account that do not share breaking news from the web. Other typologies, automatic Facebook shares, custom tweets without link to an article, etc. With the same fields as tesis_hometimeline.tesis_posts: data of articles published by the web and processed for some analysis.stats_id: Analysis IDpost_id: Article ID in WordPresspost_date: article publication date in WordPresspost_title: title of the articlepath: URL of the article in the middle webtags: Tags ID or WordPress tags related to the articleuniquepageviews: unique page viewsentrancerate: input ratioavgtimeonpage: average visit timeexitrate: output ratiopageviewspersession: page views per sessionadsense_adunitsviewed: number of ads viewed by usersadsense_viewableimpressionpercent: ad display ratioadsense_ctr: ad click ratioadsense_ecpm: estimated ad revenue per 1000 page viewstesis_stats: data from a particular analysis, performed at each published breaking news item. Fields with statistical values can be computed from the data in the other tables, but total and average calculations are saved for faster and easier further processing.id: ID of the analysisphase: phase of the thesis in which analysis has been carried out (right now all are 1)time: "0" if at the time of publication, "1" if 14 days laterstart_date: date and time of measurement on the day of publicationend_date: date and time when the measurement is made 14 days latermain_post_id: ID of the published article to be analysedmain_post_theme: Main section of the published article to analyzesuperheroes_theme: "1" if about superheroes, "0" if nottrailer_theme: "1" if trailer, "0" if notname: empty field, possibility to add a custom name manuallynotes: empty field, possibility to add personalized notes manually, as if some tag has been removed manually for being considered too generic, despite the fact that the editor put itnum_articles: number of articles analysednum_articles_with_traffic: number of articles analysed with traffic (which will be taken into account for traffic analysis)num_articles_with_tw_data: number of articles with data from when they were shared on the media’s Twitter accountnum_terms: number of terms analyzeduniquepageviews_total: total page viewsuniquepageviews_mean: average page viewsentrancerate_mean: average input ratioavgtimeonpage_mean: average duration of visitsexitrate_mean: average output ratiopageviewspersession_mean: average page views per sessiontotal: total of ads viewedadsense_adunitsviewed_mean: average of ads viewedadsense_viewableimpressionpercent_mean: average ad display ratioadsense_ctr_mean: average ad click ratioadsense_ecpm_mean: estimated ad revenue per 1000 page viewsTotal: total incomeretweet_count_mean: average incomefavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesterms_ini_num_tweets: total tweets on the terms on the day of publicationterms_ini_retweet_count_total: total retweets on the terms on the day of publicationterms_ini_retweet_count_mean: average retweets on the terms on the day of publicationterms_ini_favorite_count_total: total of favorites on the terms on the day of publicationterms_ini_favorite_count_mean: average of favorites on the terms on the day of publicationterms_ini_followers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the terms on the day of publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms on the day of publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who spoke about the terms on the day of publicationterms_ini_user_age_mean: average age in days of users who have spoken of the terms on the day of publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms on the day of publicationterms_end_num_tweets: total tweets on terms 14 days after publicationterms_ini_retweet_count_total: total retweets on terms 14 days after publicationterms_ini_retweet_count_mean: average retweets on terms 14 days after publicationterms_ini_favorite_count_total: total bookmarks on terms 14 days after publicationterms_ini_favorite_count_mean: average of favorites on terms 14 days after publicationterms_ini_followers_talking_rate: ratio of media Twitter account followers who have recently posted a tweet talking about the terms 14 days after publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms 14 days after publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who have spoken about the terms 14 days after publicationterms_ini_user_age_mean: the average age in days of users who have spoken of the terms 14 days after publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms 14 days after publication.tesis_terms: data of the terms (tags) related to the processed articles.stats_id: Analysis IDtime: "0" if at the time of publication, "1" if 14 days laterterm_id: Term ID (tag) in WordPressname: Name of the termslug: URL of the termnum_tweets: number of tweetsretweet_count_total: total retweetsretweet_count_mean: average retweetsfavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesfollowers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the termuser_num_followers_mean: average followers of users who were talking about the termuser_num_tweets_mean: average number of tweets published by users who were talking about the termuser_age_mean: average age in days of users who were talking about the termurl_inclusion_rate: URL inclusion ratio

With over 611 million monthly active users, building a huge Twitter following is not an easy task. These are the top 25 accounts with the most followers on Twitter right now.

One of the biggest advantages of Twitter is the speed at which information can be passed around. People use Twitter primarily to get news and for entertainment. This is the breakdown of why people use Twitter today.

The US has the largest number of Twitter users with over a 100 million users. They account for about 16.7% of all Twitter users worldwide.

Twitter UK's operating profit increased significantly between 2020 and 2021, from 1.6 million British pounds, to over six million GBP. Twitter, rebranded to X in 2023, is a micro-blogging social media platform founded in 2006.

Twitter's ad business shrank both in 2023 and 2024, with global ad revenues falling to two billion dollars, according to the source's estimates. After the acquisition of Twitter by Elon Musk on October 27, 2022, the platform saw an exodus of users. December 2022 projections saw more than 30 million users leaving the platform by the end of 2024.

In the last reported quarter, social network X/Twitter had a net loss of 270 million U.S. dollars, down from a net income of 513 million U.S. dollars in the first quarter of 2022.In 2020, the decline in revenue was due to an advertising slump caused by the outbreak of the global coronavirus pandemic, which led the company to recognize a deferred tax asset valuation allowance of 1.1 billion U.S. and a non-cash income tax expense based primarily on cumulative taxable losses driven primarily by COVID-19.

Public relations (PR) firms benefited from robust economic recovery and a digitalization push. While the pandemic's negative economic effects resulted in a considerable decline in revenue, a sharp economic recovery, fuelled by higher corporate profit and advertising expenditure in 2021 and 2022, significantly bolstered PR firm demand. While PR firms continue to be contracted across core spheres, such as lobbying efforts and PR campaigns, high interest rates have curtailed smaller businesses' abilities to procure PR services consistently. Growing external competition from in-house alternatives also harmed revenue growth. Nonetheless, PR firms could weather the storm, as a diverse array of clients and pivoting to digital media caused revenue to grow an annualized 0.4% to an estimated $1.2 billion over the past five years. However, revenue fell 0.6% in 2024 alone amid a slump in advertising expenditure and corporate profit. PR firms have contended with rising competition from advertising agencies, communications companies and marketing agencies over the past five years, all of which have expanded their product offerings to include public relations. In addition, many multinational and diversified media companies have acquired smaller firms to reach new markets. For example, in 2024, major player Publicis Groupe announced an acquisition of a commerce marketing organization, highlighting the push by PR firms to diversify their outreach. However, elevated demand for PR services, high profit and expanding scope of public relations activities have encouraged new entrants to the industry. Public relations agencies have adapted to these conditions, particularly by quickly adopting a below-the-line approach to services, whereby outreach efforts are tailored to a targeted audience instead of exposure to as many people as possible. PR firms are poised to benefit from a mix of positive economic factors and the continued pivot to digital platforms. Anticipated growth in corporate profit and more significant advertising and public relations budgets will allow companies to invest more in marketing campaigns, offering PR firms more demand niches. Public relations agencies will more effectively navigate social media platforms, blogs and other forms of digital communication to shape client perceptions. Since these efforts are expected to prove more successful than traditional methods, PR firms are anticipated to experience sustained growth. Overall, revenue is expected to grow an annualized 2.6% to an estimated $1.3 billion through the end of 2029.