Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.

Websites in the energy, utilities, and construction sector averaged the largest amount of visits per online session worldwide. In the fourth quarter of 2022, desktop users in that segment visited around ***** pages per online session. Travel and hospitality ranked second, with an average of almost *** pages visited. In terms of mobile users, travel and hospitality registered the highest number of page views, followed by retail.

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

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Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

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In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

Context

This file contains 5 years of daily time series data for several measures of traffic on a statistical forecasting teaching notes website whose alias is statforecasting.com. The variables have complex seasonality that is keyed to the day of the week and to the academic calendar. The patterns you you see here are similar in principle to what you would see in other daily data with day-of-week and time-of-year effects. Some good exercises are to develop a 1-day-ahead forecasting model, a 7-day ahead forecasting model, and an entire-next-week forecasting model (i.e., next 7 days) for unique visitors.

Content

The variables are daily counts of page loads, unique visitors, first-time visitors, and returning visitors to an academic teaching notes website. There are 2167 rows of data spanning the date range from September 14, 2014, to August 19, 2020. A visit is defined as a stream of hits on one or more pages on the site on a given day by the same user, as identified by IP address. Multiple individuals with a shared IP address (e.g., in a computer lab) are considered as a single user, so real users may be undercounted to some extent. A visit is classified as "unique" if a hit from the same IP address has not come within the last 6 hours. Returning visitors are identified by cookies if those are accepted. All others are classified as first-time visitors, so the count of unique visitors is the sum of the counts of returning and first-time visitors by definition. The data was collected through a traffic monitoring service known as StatCounter.

Inspiration

This file and a number of other sample datasets can also be found on the website of RegressIt, a free Excel add-in for linear and logistic regression which I originally developed for use in the course whose website generated the traffic data given here. If you use Excel to some extent as well as Python or R, you might want to try it out on this dataset.

Top 25 Daily Page Views for the main website of Los Angeles

The website visitor tracking software market is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, currently estimated at $5 billion in 2025, is projected to expand significantly over the next decade, with a Compound Annual Growth Rate (CAGR) of approximately 15% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of e-commerce, the proliferation of sophisticated website analytics tools offering deeper insights into user engagement, and a growing emphasis on data-driven decision-making across various industries. Businesses are increasingly relying on these tools not only for basic website traffic analysis but also for advanced features like heatmap analysis, session recording, form analytics, and A/B testing, which enable personalized user experiences and targeted marketing campaigns. The market's competitive landscape is diverse, with a mix of established players like Google Analytics and Adobe Analytics, alongside emerging specialized solutions focusing on specific aspects of visitor tracking, like lead generation or user behavior analysis. This fragmentation offers businesses a wide range of options tailored to their specific needs and budgets. The continued advancement of artificial intelligence (AI) and machine learning (ML) is expected to significantly impact the future of website visitor tracking software. AI-powered tools are increasingly capable of providing predictive analytics, identifying high-value visitors, automating tasks, and personalizing the user journey with greater accuracy. While data privacy concerns and the increasing complexity of these tools pose challenges, the overall market outlook remains positive. The focus is shifting towards tools that offer more comprehensive, insightful, and privacy-compliant solutions, leading to further innovation and consolidation within the market. Furthermore, the integration of website visitor tracking with other marketing automation platforms is becoming increasingly crucial, enabling a more holistic view of the customer journey and streamlining marketing efforts. This trend is expected to drive further market growth and shape the competitive landscape in the coming years.

A dataset explaining organic traffic, its importance for SEO, and methods to track it in Google Analytics 4.

Visitors and views of the City of Brussels website per page (from 2023, determined by IP address)

Source: Google Analytics

This dataset originates from DataCamp. Many users have reposted copies of the CSV on Kaggle, but most of those uploads omit the original instructions, business context, and problem framing. In this upload, I’ve included that missing context in the About Dataset so the reader of my notebook or any other notebook can fully understand how the data was intended to be used and the intended problem framing.

Note: I have also uploaded a visualization of the workflow I personally took to tackle this problem, but it is not part of the dataset itself. Additionally, I created a PowerPoint presentation based on my work in the notebook, which you can download from here:
PPTX Presentation

Recipe Site Traffic

From: Head of Data Science
Received: Today
Subject: New project from the product team

Hey!

I have a new project for you from the product team. Should be an interesting challenge. You can see the background and request in the email below.

I would like you to perform the analysis and write a short report for me. I want to be able to review your code as well as read your thought process for each step. I also want you to prepare and deliver the presentation for the product team - you are ready for the challenge!

They want us to predict which recipes will be popular 80% of the time and minimize the chance of showing unpopular recipes. I don't think that is realistic in the time we have, but do your best and present whatever you find.

You can find more details about what I expect you to do here. And information on the data here.

I will be on vacation for the next couple of weeks, but I know you can do this without my support. If you need to make any decisions, include them in your work and I will review them when I am back.

Good Luck!

From: Product Manager - Recipe Discovery
To: Head of Data Science
Received: Yesterday
Subject: Can you help us predict popular recipes?

Hi,

We haven't met before but I am responsible for choosing which recipes to display on the homepage each day. I have heard about what the data science team is capable of and I was wondering if you can help me choose which recipes we should display on the home page?

At the moment, I choose my favorite recipe from a selection and display that on the home page. We have noticed that traffic to the rest of the website goes up by as much as 40% if I pick a popular recipe. But I don't know how to decide if a recipe will be popular. More traffic means more subscriptions so this is really important to the company.

Can your team: - Predict which recipes will lead to high traffic? - Correctly predict high traffic recipes 80% of the time?

We need to make a decision on this soon, so I need you to present your results to me by the end of the month. Whatever your results, what do you recommend we do next?

Look forward to seeing your presentation.

About Tasty Bytes

Tasty Bytes was founded in 2020 in the midst of the Covid Pandemic. The world wanted inspiration so we decided to provide it. We started life as a search engine for recipes, helping people to find ways to use up the limited supplies they had at home.

Now, over two years on, we are a fully fledged business. For a monthly subscription we will put together a full meal plan to ensure you and your family are getting a healthy, balanced diet whatever your budget. Subscribe to our premium plan and we will also deliver the ingredients to your door.

Example Recipe

This is an example of how a recipe may appear on the website, we haven't included all of the steps but you should get an idea of what visitors to the site see.

Tomato Soup

Servings: 4
Time to make: 2 hours
Category: Lunch/Snack
Cost per serving: $

Nutritional Information (per serving) - Calories 123 - Carbohydrate 13g - Sugar 1g - Protein 4g

Ingredients: - Tomatoes - Onion - Carrot - Vegetable Stock

Method: 1. Cut the tomatoes into quarters….

Data Information

The product manager has tried to make this easier for us and provided data for each recipe, as well as whether there was high traffic when the recipe was featured on the home page.

As you will see, they haven't given us all of the information they have about each recipe.

You can find the data here.

I will let you decide how to process it, just make sure you include all your decisions in your report.

Don't forget to double check the data really does match what they say - it might not.

Unlock insights with Echo's Activity data, offering views of locations based on visitor behavior. Enhance site selection, urban planning, and real estate with metrics like unique visitors and visits. Our high-quality, global data reveals movement patterns, updated daily and normalized monthly.

In March 2025, visits to Groupon.com in the United States mainly originated from mobile devices. Around ************ of its website traffic came from smartphones. Desktops accounted for the remaining traffic share, at nearly **********.

Unlock the Power of Behavioural Data with GDPR-Compliant Clickstream Insights.

Swash clickstream data offers a comprehensive and GDPR-compliant dataset sourced from users worldwide, encompassing both desktop and mobile browsing behaviour. Here's an in-depth look at what sets us apart and how our data can benefit your organisation.

User-Centric Approach: Unlike traditional data collection methods, we take a user-centric approach by rewarding users for the data they willingly provide. This unique methodology ensures transparent data collection practices, encourages user participation, and establishes trust between data providers and consumers.

Wide Coverage and Varied Categories: Our clickstream data covers diverse categories, including search, shopping, and URL visits. Whether you are interested in understanding user preferences in e-commerce, analysing search behaviour across different industries, or tracking website visits, our data provides a rich and multi-dimensional view of user activities.

GDPR Compliance and Privacy: We prioritise data privacy and strictly adhere to GDPR guidelines. Our data collection methods are fully compliant, ensuring the protection of user identities and personal information. You can confidently leverage our clickstream data without compromising privacy or facing regulatory challenges.

Market Intelligence and Consumer Behaviour: Gain deep insights into market intelligence and consumer behaviour using our clickstream data. Understand trends, preferences, and user behaviour patterns by analysing the comprehensive user-level, time-stamped raw or processed data feed. Uncover valuable information about user journeys, search funnels, and paths to purchase to enhance your marketing strategies and drive business growth.

High-Frequency Updates and Consistency: We provide high-frequency updates and consistent user participation, offering both historical data and ongoing daily delivery. This ensures you have access to up-to-date insights and a continuous data feed for comprehensive analysis. Our reliable and consistent data empowers you to make accurate and timely decisions.

Custom Reporting and Analysis: We understand that every organisation has unique requirements. That's why we offer customisable reporting options, allowing you to tailor the analysis and reporting of clickstream data to your specific needs. Whether you need detailed metrics, visualisations, or in-depth analytics, we provide the flexibility to meet your reporting requirements.

Data Quality and Credibility: We take data quality seriously. Our data sourcing practices are designed to ensure responsible and reliable data collection. We implement rigorous data cleaning, validation, and verification processes, guaranteeing the accuracy and reliability of our clickstream data. You can confidently rely on our data to drive your decision-making processes.

Visitor Tracking Software Tools Market Outlook

As of 2023, the global market size for Visitor Tracking Software Tools is estimated to be approximately USD 1.2 billion, and it is projected to reach USD 3.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% from 2024 to 2032. The continuous growth in digital marketing and the increasing need for businesses to optimize their customer engagement strategies are primary factors driving this market expansion.

The surge in digital transformation across various industries is a significant factor propelling the growth of the visitor tracking software tools market. With more businesses moving online, there is an amplified need for tools that can track visitor interactions, behaviors, and preferences. These tools provide invaluable insights that help businesses understand their customer base, improve user experience, and increase conversion rates. Moreover, the rising adoption of data-driven decision-making processes is bolstering the demand for such software solutions, as they offer precise analytics and reporting functionalities.

Another pivotal driver of market growth is the increasing emphasis on personalized customer experiences. In today's competitive business environment, understanding and catering to the unique needs and preferences of each customer is crucial. Visitor tracking software tools enable businesses to gather detailed data about their website visitors, allowing them to tailor their marketing strategies and offers accordingly. This personalized approach not only enhances customer satisfaction but also fosters brand loyalty and boosts sales, further fueling the market growth.

The proliferation of e-commerce and the growing importance of online presence have also significantly contributed to the market expansion. As more consumers prefer online shopping and digital interactions, businesses are investing heavily in advanced technologies to monitor and analyze visitor activities on their websites. Visitor tracking software tools provide comprehensive insights into visitor behavior, helping businesses enhance their online strategies, improve customer retention, and drive revenue growth. Additionally, the increasing adoption of mobile devices and the rising internet penetration globally are further augmenting the demand for these tools.

In addition to these factors, the integration of Customer Journey Mapping Tools is becoming increasingly essential for businesses aiming to enhance their visitor tracking capabilities. These tools allow companies to visualize and analyze the entire customer journey, from initial contact to conversion, providing a comprehensive view of customer interactions across various touchpoints. By leveraging customer journey mapping, businesses can identify pain points and opportunities for improvement, enabling them to create more personalized and effective marketing strategies. This integration not only enhances the overall customer experience but also contributes to higher conversion rates and customer retention, driving further growth in the visitor tracking software tools market.

Regionally, North America holds a dominant position in the visitor tracking software tools market, owing to the high adoption rate of advanced technologies and the presence of numerous key market players in the region. The growing emphasis on digital marketing strategies and the increasing investments in customer analytics solutions are driving the market growth in this region. Additionally, Asia Pacific is expected to witness substantial growth during the forecast period, attributed to the rapid digitalization of businesses, significant advancements in IT infrastructure, and the burgeoning e-commerce sector in countries like China, India, and Japan.

Component Analysis

The visitor tracking software tools market can be segmented by component into Software and Services. The Software segment encompasses various types of tracking software, including web analytics tools, heat map tools, session replay software, and others. These software solutions are designed to provide businesses with detailed insights into visitor behavior, helping them enhance their online presence and improve customer engagement. Advancements in software technologies, such as artificial intelligence and machine learning, are further enhancing the capabilities of these tools, making them more efficient and accurate.

Services, on the other hand, inclu

The dataset provides 12 months (August 2016 to August 2017) of obfuscated Google Analytics 360 data from the Google Merchandise Store , a real ecommerce store that sells Google-branded merchandise, in BigQuery. It’s a great way analyze business data and learn the benefits of using BigQuery to analyze Analytics 360 data Learn more about the data The data includes The data is typical of what an ecommerce website would see and includes the following information:Traffic source data: information about where website visitors originate, including data about organic traffic, paid search traffic, and display trafficContent data: information about the behavior of users on the site, such as URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions on the Google Merchandise Store website.Limitations: All users have view access to the dataset. This means you can query the dataset and generate reports but you cannot complete administrative tasks. Data for some fields is obfuscated such as fullVisitorId, or removed such as clientId, adWordsClickInfo and geoNetwork. “Not available in demo dataset” will be returned for STRING values and “null” will be returned for INTEGER values when querying the fields containing no data.This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery

As of the second quarter of 2025, ***** percent of web traffic in the United States originated from mobile devices, down from over ** percent in the last quarter of 2024. In comparison, over ********** of web traffic worldwide was generated via mobile in the last examined period.

Weekly Number of Page Views on the Littlerock.gov Website

Visitor Analytics Platform Market Outlook

According to our latest research, the global Visitor Analytics Platform market size reached USD 2.81 billion in 2024, exhibiting robust momentum driven by digital transformation across industries. The market is projected to expand at a CAGR of 14.2% from 2025 to 2033, reaching an estimated USD 8.66 billion by 2033. Key growth factors include the increasing adoption of data-driven decision-making, the proliferation of online touchpoints, and a rising emphasis on optimizing user experiences across digital platforms.

One of the primary growth drivers for the Visitor Analytics Platform market is the exponential surge in digital interactions, particularly in the wake of accelerated e-commerce adoption and the digitalization of services. Enterprises are increasingly leveraging visitor analytics platforms to gain actionable insights into user behavior, website traffic patterns, and conversion rates. The growing importance of delivering personalized experiences and optimizing digital journeys has made these platforms indispensable tools for businesses aiming to enhance customer engagement and boost ROI. Furthermore, the rise of omni-channel strategies, where organizations interact with customers across multiple digital and physical touchpoints, has further amplified the demand for comprehensive analytics solutions that provide unified, real-time insights.

Another significant factor propelling market expansion is the technological evolution within the analytics ecosystem. The integration of artificial intelligence (AI), machine learning (ML), and advanced data visualization capabilities has transformed visitor analytics platforms into sophisticated solutions that not only track and report but also predict and recommend. These advancements enable organizations to move beyond basic metrics, such as page views and bounce rates, to deeper analysis involving heatmaps, session recordings, and granular user behavior mapping. As privacy regulations become more stringent, vendors are also innovating to ensure compliance, offering anonymized and consent-driven analytics that respect user privacy while delivering valuable business intelligence.

The Visitor Analytics Platform market is also benefitting from the growing awareness among small and medium enterprises (SMEs) regarding the value of analytics in driving business growth. Historically, advanced analytics solutions were primarily adopted by large enterprises due to cost and complexity barriers. However, the emergence of cloud-based, subscription-driven models has democratized access, enabling SMEs to harness powerful analytics tools without significant upfront investment. This trend is further supported by the increasing availability of user-friendly interfaces and integration capabilities, allowing businesses of all sizes to seamlessly incorporate analytics into their digital strategies and derive measurable benefits.

From a regional perspective, North America continues to dominate the Visitor Analytics Platform market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The region's leadership is underpinned by high digital maturity, widespread adoption of advanced analytics technologies, and a strong presence of leading vendors. Meanwhile, Asia Pacific is witnessing the fastest growth, fueled by rapid digitalization, expanding internet penetration, and increasing investments in digital infrastructure. Latin America and the Middle East & Africa are also emerging as promising markets, as organizations in these regions increasingly recognize the strategic importance of visitor analytics in enhancing competitiveness and customer satisfaction.

Component Analysis

The Visitor Analytics Platform market is segmented by component into software and services, each playing a vital role in the overall value proposition offered to end-users. The software segment constitutes the core of the market, encompassing a wide array of solutions designed to track, analyze, and visualize visitor data across digital platforms. These software solutions are increasingly leveraging cloud-native architectures, AI, and ML to deliver real-time insights and predictive analytics, empowering organizations to make informed decisions swiftly. The software segment’s growth is further bolstered by the continuous introduction of new features, such as advanced heatmaps, session replays, and customizable dashboards, which cater to the evolving needs of busines

A breakdown of the Food Hygiene Ratings website traffic data showing total number of visits, unique visitors and page views.

Context

The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website.

Content

The sample dataset contains Google Analytics 360 data from the Google Merchandise Store, a real ecommerce store. The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website. It includes the following kinds of information:

Traffic source data: information about where website visitors originate. This includes data about organic traffic, paid search traffic, display traffic, etc. Content data: information about the behavior of users on the site. This includes the URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions that occur on the Google Merchandise Store website.

Fork this kernel to get started.

Acknowledgements

Data from: https://bigquery.cloud.google.com/table/bigquery-public-data:google_analytics_sample.ga_sessions_20170801

Banner Photo by Edho Pratama from Unsplash.

Inspiration

What is the total number of transactions generated per device browser in July 2017?

The real bounce rate is defined as the percentage of visits with a single pageview. What was the real bounce rate per traffic source?

What was the average number of product pageviews for users who made a purchase in July 2017?

What was the average number of product pageviews for users who did not make a purchase in July 2017?

What was the average total transactions per user that made a purchase in July 2017?

What is the average amount of money spent per session in July 2017?

What is the sequence of pages viewed?