Dataset Overview

This dataset provides detailed information on website traffic, including page views, session duration, bounce rate, traffic source, time spent on page, previous visits, and conversion rate.

Dataset Description

• Page Views: The number of pages viewed during a session.
• Session Duration: The total duration of the session in minutes.
• Bounce Rate: The percentage of visitors who navigate away from the site after viewing only one page.
• Traffic Source: The origin of the traffic (e.g., Organic, Social, Paid).
• Time on Page: The amount of time spent on the specific page.
• Previous Visits: The number of previous visits by the same visitor.
• Conversion Rate: The percentage of visitors who completed a desired action (e.g., making a purchase).

Data Summary

• Total Records: 2000
• Total Features: 7

Key Features

1. Page Views: This feature indicates the engagement level of the visitors by showing how many pages they visit during their session.
2. Session Duration: This feature measures the length of time a visitor stays on the website, which can indicate the quality of the content.
3. Bounce Rate: A critical metric for understanding user behavior. A high bounce rate may indicate that visitors are not finding what they are looking for.
4. Traffic Source: Understanding where your traffic comes from can help in optimizing marketing strategies.
5. Time on Page: This helps in analyzing which pages are retaining visitors' attention the most.
6. Previous Visits: This can be used to analyze the loyalty of visitors and the effectiveness of retention strategies.
7. Conversion Rate: The ultimate metric for measuring the effectiveness of the website in achieving its goals.

Usage

This dataset can be used for various analyses such as:

• Identifying key drivers of engagement and conversion.
• Analyzing the effectiveness of different traffic sources.
• Understanding user behavior patterns and optimizing the website accordingly.
• Improving marketing strategies based on traffic source performance.
• Enhancing user experience by analyzing time spent on different pages.

Acknowledgments

This dataset was generated for educational purposes and is not from a real website. It serves as a tool for learning data analysis and machine learning techniques.

From October 2024 to February 2025, ChatGPT outperformed competing AI-powered search engines in traffic referral, achieving a total growth of 155.52 percent. Perplexity placed second, despite experiencing more significant fluctuations, with a total growth of 54.78 percent by the conclusion of the analyzed period. With a 43.64 percent overall growth, Google's Gemini ranked third among other engines and maintained the most consistent traffic referral rate. Artificial intelligence-driven trends, notably AI-powered search, are changing online traffic patterns. This suggests a more significant change in the way users find information online and is expected to have a knock-on effect on the digital advertising sector.

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.

Daily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly

In April 2023, desktop computer searches represented ***** percent of the search engine market in the UK. Mobile searches followed with ***** percent, with the remaining **** percent for consoles.

DISCLAIMER- I DO NOT OWN THIS DATASET. THIS IS BEING USED ONLY FOR THE SAKE OF THE NOTEBOOK. This dataset contains data about the daily traffic on a website, in a given time period. It has only 2 columns, the first being the 'date' column and the second being the 'number of visits' column. It is a pretty simple dataset, so it wouldn't require much cleaning and preprocessing. There might be few 'nan' values, so you ought to fill/drop them at your convenience. If you like the data, please do upvote as it helps me out. Thank you, and have a great time.

Global search advertising revenue was forecast to reach 357 billion U.S. dollars in 2025. Retail media was projected to account for roughly 140 billion dollars and traditional search for 217 billion.

As of December 2025, Google continued to dominate the global search engine industry by far, with an 90.82 percent market share. However, this stronghold may be showing signs of erosion, with its share across all devices dipping to its lowest point in over two decades. Bing, Google's closest competitor, currently holds a market share of 4.03 percent, while Russia-based Yandex hikes to the third place with a share of around 1.57 percent. Competitive landscape and regional variations While Google's overall dominance persists, other search engines carve out niches in various markets and platforms. Bing holds a 12.21 percent market share across desktop devices worldwide, as Yandex and Baidu have found success inside and outside of their home markets. Yandex is used by over 63 percent of Russian internet users, but Baidu has seen its market share significantly in China As regional variations highlight the importance of local players in challenging Google's global supremacy, the company is likely to face more challenges with the AI-powered online search trend and increasing regulatory scrutiny. Search behavior and antitrust concerns Despite facing more competition, Google remains deeply ingrained in users' online habits. In 2024, "Google" itself was the most popular search query on its own platform, followed by "YouTube" - another Google-owned property. This self-reinforcing ecosystem has drawn scrutiny from regulators, with the European Commission imposing millionaire antitrust fines on the company. As its influence extends beyond search into various online services, the company's market position continues to be a subject of debate among industry watchdogs and authorities worldwide.

Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

Unlock explosive website growth! Discover the booming $15 billion website traffic analysis tool market, projected to reach $45 billion by 2033. Explore key trends, leading companies (Semrush, Ahrefs, Google Analytics), and regional insights in our comprehensive market analysis.

The data set provided (traffic.csv) contains web traffic data ("events") from a few different pages ("links") over 7 days including various categorical dimensions about the geographic origin of that traffic as well as a page's content: isrc.

Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

In September 2023, Google was the most popular online search engine in Chile with a market share of over 95 percent. Microsoft's Bing ranked second with 2.85 percent of share throughout that period. Furthermore, Google Chrome was used by approximately eight out of ten Chilean internet users.

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.

Explore the Website Traffic Dataset featuring structured analytics data including page views, session duration, bounce rate, traffic sources, user behavior metrics, and conversion rates. Suitable for AI-driven marketing analytics, predictive modeling, and performance optimization.

Research data on traffic exchange limitations including low-quality traffic characteristics, search engine penalty risks, and comparison with effective alternatives like SEO and content marketing strategies.

It’s not really surprising to know that most of the internet traffic comes from mobile devices. Yet, I wouldn’t have believed this 10 or 15 years back. Sure, mobile devices were becoming popular, but the adoption rates had a sudden jump in the past decade. A quick analysis of statistics...

This dataset provides detailed insights into website traffic metrics and user engagement statistics, collected from SimilarWeb. The data includes information on various websites, such as rank, category, average visit duration, pages per visit, and bounce rate. This data aims to facilitate an understanding of online behavior and performance trends across different sectors, making it a valuable resource for researchers, marketers, and data analysts. The dataset is ideal for exploring patterns in web traffic and user interaction and conducting comparative analyses across various website categories.

Important Warning: Running this code within Kaggle may result in a ban, as scraping activities are prohibited on the platform. There is no guarantee that any ban will be lifted, as Kaggle staff may interpret scraping as a denial-of-service attack. Although I have implemented measures to reduce server load, such as adding sleep intervals, it is advisable to run this code locally to ensure compliance with Kaggle's policies.

As of December 2024, Google had the highest share of search engine referrals in the United Arab Emirates, at around ** percent. This was significantly more than Bing, which had the second most referrals at around **** percent, a drop from *** percent in the previous year.

This dataset is from the article titled “One-Third of Pseudoscience Traffic Comes from Search: A Search Engine Optimization (SEO) Analysis.” The data is presented in a CSV table, and the columns are described as follows: url: The URL of the pseudoscience or pro-science website. label: See “Misinformation Domain List” by Lasser (2022). source: See “Misinformation Domain List” by Lasser (2022). accuracy: See “Misinformation Domain List” by Lasser (2022). transparency: See “Misinformation Domain List” by Lasser (2022). type: See “Misinformation Domain List” by Lasser (2022). traffic: Data on web traffic derived from the online platform Semrush*. direct: Traffic to a domain via URLs entered in a browser’s search bar, saved bookmarks or links from outside a browser (such as PDFs or Microsoft Word documents); Category description provided by Semrush. referral: Traffic to a domain from a hyperlink on another domain (as long as it is not a Social Media domain); Category description provided by Semrush. organic search: Traffic to a domain directly from organic results on a SERP from a search engine such as Google, Bing, DuckDuckGo, etc.; Category description provided by Semrush. paid search: Traffic to a domain driven by text, PLA, local, or any other kind of paid advertisement on a SERP from a search engine such as Google, Bing, DuckDuckGo, etc.; Category description provided by Semrush. organic social: Traffic to a domain from links on social media websites like Facebook, Twitter, Reddit, Pinterest, YouTube, etc.; Category description provided by Semrush. paid social: Traffic to a domain from paid advertisements on social media websites like Facebook, Twitter, Reddit, Pinterest, YouTube, etc.; Category description provided by Semrush. email: Traffic to a domain via email services such as Gmail, Yahoo, iCloud or domains with corporate email addresses.; Category description provided by Semrush. display ads: Traffic driven to a domain through a display or video ad supported by an advertising platform such as GDN or doubleclick.; Category description provided by Semrush. SEO effort score: Overall SEO effort score produced by the search engine optimization (SEO) classification tool mentioned in the paper. References: Lasser, J. (2022). GitHub—JanaLasser/misinformation_domains: Collection of domains that spread misinformation from various sources [Dataset]. GitHub. https://github.com/JanaLasser/misinformation_domains * https://www.semrush.com/