It starts with a simple habit: you open your browser and type a question. A few keystrokes later, Google gives you answers, videos, maps, and suggestions before you even finish your thought. For billions of people around the world, this daily interaction is second nature. But behind that blinking cursor...

In February 2025, Verizon Media processed **** million online search queries in the United States, and market leader Google processed over **** million search queries. In total, Google accounted for ** percent of the U.S. desktop search queries. Google was also the leading mobile search provider in the United States, accounting for around ** percent of the market as of March 2024.

Google Search Statistics 2023

• Google is the most searched website in the World.
• Google receives more visitors than any other site. Google is accessed 89.3 trillion times per month.
• Google is used by billions of people every day to conduct their searches. Google is much more than a simple search engine.
• Google provides many other services. Google Shopping and Google News also feature. Google Mail, Google's popular email service, is included.
• Google organic search traffic is 16.3% of the total US searches.

In March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.

In 2022, Wordle was the most popular Google search in the United States, the United Kingdom, Canada, and Spain. By contrast, in Germany and Italy, Ukraine was the most popular search on Google. In Brazil, Google users were interested the most in the 2022 elections.

Wordle!

Launched in October 2021 and purchased by the New York Times in January 2022, Wordle is an online game where players can play only once a day and have to guess a five-letter word in six tries. The game became an instant hit, with a surge of daily users at the beginning of the year. For instance, it was one of the most popular iPhone apps in the United States, being played mostly by millennials. Also in the United Kingdom, the game gained in popularity, with most players using the app every day.

Google search

As the leading search engine in many countries, Google is the most visited multi-platform web property. Indeed, most of Google's revenues come from Google properties, which include the search platform, the traffic generated by search distribution partners using Google.com as their default search in browsers, and the advertising on its own sites.

Picture this: a local bakery in Austin struggling to attract foot traffic until they claimed and optimized their Google My Business (GMB) profile. Within weeks, walk-ins tripled, phone inquiries surged, and their map listing dominated local results. This isn't an isolated story; it's the everyday reality for thousands of small...

When you’re at work or at home, there’s a high chance that you’re going to use Google. You may be using Google to find a plumber for your leaky bathroom sink or see where the best sushi is in town. When you’re on Google, you’re looking for the top results which means you’re not scrolling past page one, unless, you’re desperate. So, getting your company on the first page of Google is extremely important and impactful for success. But, how do you get your business there? Well, here’s how.

Know the Basics

Before you do anything, you need to know the basics of how online marketing and Google search functions. By knowing the basics, you won’t waste time performing outdated tasks or being overcharged by an SEO Agency http://www.whitehatagency.com.au/seo-agency or marketing companies that recognize your lack of knowledge. Education is the key to success.

Use SEO

Search Engine Optimization is the method of attracting online attention and visibility through organic means. In essence, the unpaid search results - the paid search results typically have “sponsored” or “paid advertisement” written below them. But you can naturally drive traffic towards your site just by using the right keywords. Certain keywords will push your content, allowing it to be shown in the top results.

Meet the Google Standards

Google has standards which your website must fulfil prior to appearing as a #1 website in the search results. Google will flag any errors they deem needed fixed and you’re going to want to fix them, for example, broken links. If you don’t meet the standards, they’ll penalize all your pages until you fix them. So, take some time out of your day and make sure your website is fully functioning.

Content is everything

You may invest some top dollars in the look and appeal of your site but at the end of the day, it doesn’t really matter what your site looks like. What truly matters is the content as that will drive viewers to your site. The Google search results are designed to provide users with the most relevant material on the web. If your content isn’t providing value to the viewers, your material won’t make it to #1.

Focus on links

Links play an important role when it comes to Google’s ranking system. The way Google works is that it pays attention to the hyperlinks in content to figure out what keywords are tied to the link being used. Though this doesn’t mean your entire article should be made of links, if you use too many they’ll deem it as suspicious activity and your website can be taken from Google.

Google loves mobile-friendly

If you want to come up with a #1 site then you need to show Google that you’re updated and relevant to the current technology. In other words, you need to make your site mobile-friendly. Many users read material while on their way to work, on the bus or on their couch. So, if you’re not catering to smartphones, well, Google isn’t going to favor you.

Lebrau, C. (2020). 6 Ways to Get on the First Page of Google, HydroShare, http://www.hydroshare.org/resource/5b487a7dc6104628b10c2b6921b595e1

This dataset pulls job postings from Google's search results for Data Analyst positions in the United States.

Data collection started on November 4th, 2022, and adds ~100 new job postings to this dataset daily.

As of October 2025, Google represented ***** percent of the global online search engine referrals on desktop devices. Despite being much ahead of its competitors, this represents a modest increase from the previous months. Meanwhile, its longtime competitor Bing accounted for ***** percent, as tools like Yahoo and Yandex held shares of over **** percent and **** percent respectively. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of **** trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly ****** billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than ** percent of internet users in Russia used Yandex, whereas Google users represented little over ** percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over ** percent of users in Mexico said they used Yahoo.

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

Back in the early 2000s, "Googling" something became a household verb, a cultural benchmark of internet search dominance. For years, Google has enjoyed near-total control over the search engine landscape. But fast forward to 2025, and the narrative is evolving. Microsoft’s Bing, once dismissed as a secondary player, has carved...

This dataset shows the number of page views each day of 2016 for data.edmonton.ca. This data is pulled from our Google Analytics and updated monthly.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

In May 2025, the United States was responsible for 21.1 percent of the traffic to Google.com. In terms of web visits to the search platform, Japan came in second with 6.46 percent, followed by Brazil and India with 5.58 and 4.76 percent, respectively.

Context

This dataset allows for a comparison between the offline and online spread of COVID-19.

Content

• COVID-19 confirmed cases, deaths, recoveries
• Google Trends for COVID-19
• Wikipedia page views for COVID-19 from different countries

Acknowledgements

The dataset was obtained using the following APIs: https://github.com/pomber/covid19 https://github.com/GeneralMills/pytrends https://wikitech.wikimedia.org/wiki/Analytics/AQS/Pageviews

Inspiration

Can internet traffic data help to understand the spread of the virus?

This dataset is a direct export from DC government's Google Analytics report of daily page views on the https://www.dc.gov web portal. This shows daily page views, per year, on DC.gov from 2008 to March 2020. It is identified by the part of the URL after the dc.gov domain path where users have visited.

This dataset displays the number of page views each day in 2024 for data.mississauga.ca. This data is compiled by Google Analytics and is updated annually.

This dataset shows the number of page views each day of 2016. This data is pulled from our Google Analytics.

As of February 2025, several search terms were googled especially actively by German internet users. Among these, the leading three were ‘handball wm’ (handball championship), ‘australian open 2025’ and ‘handball wm 2025’. The terms reflect events, certain dates and ensuing media coverage taking place at the time, in this case about the handball championship and the Australian Open tennis tournament. Always searching Daily life seems unthinkable without using an online search engine, whether for longer research or quickly checking something, or even just to avoid setting bookmarks, typing in URLs. Google has by far the highest share among online search engines used on desktop and mobile devices at almost 90 percent of searches done on Google, followed by Bing and Ecosia. While DuckDuckGo was further down on the list, its market share has been rising in Germany. Google may still have a substantial head start compared to its competitors, but users are increasingly apprehensive about data privacy and protection in connection with how the online search giant uses and stores personal information, as well as tracks search queries. Searching for Trees Ecosia is an environmentally friendly search engine with a unique business model that sets it apart from other search engines. It uses the revenue from search ads to plant trees worldwide and support reforestation projects. Every time a user performs a search on Ecosia, they indirectly contribute to reforestation, as one tree is planted for every 45 searches.The search engine market share held by Ecosia has been growing in recent years, especially in Germany where the company is based, and in other countries in Europe. Ecosia, similarly to other alternative search engines (e.g. DuckDuckGo), uses Bing to power its results.

This dataset displays the number of page views each day in 2018 for mississauga.ca. This data is compiled by Google Analytics and is updated annually.

As search engines have become the main information resources of our daily life, studies about search behavior on the internet have gained great popularity with the growing knowledge of how the search behavior itself can affect our daily decisions, e.g. what to purchase, where to travel and even how to define beauty. However, there is no consensus conclusion whether the search behavior itself or the linguistic meaning behind it that can affect their decision. After analyzing the linguistic meanings of 13,915 English words obtained from Google Trends and its profit gained from the US house market by automatic transactions. It is found that linguistic meanings can affect financial decision results as word clusters with supervised machine learning methods.