Source:

Mariusz Šapczyński, Cracow University of Economics, Poland, lapczynm '@' uek.krakow.pl Sylwester Białowąs, Poznan University of Economics and Business, Poland, sylwester.bialowas '@' ue.poznan.pl

Data Set Information:

The dataset contains information on clickstream from online store offering clothing for pregnant women. Data are from five months of 2008 and include, among others, product category, location of the photo on the page, country of origin of the IP address and product price in US dollars.

Attribute Information:

The dataset contains 14 variables described in a separate file (See 'Data set description')

Relevant Papers:

N/A

Citation Request:

If you use this dataset, please cite:

Šapczyński M., Białowąs S. (2013) Discovering Patterns of Users' Behaviour in an E-shop - Comparison of Consumer Buying Behaviours in Poland and Other European Countries, “Studia Ekonomiczne†, nr 151, “La société de l'information : perspective européenne et globale : les usages et les risques d'Internet pour les citoyens et les consommateurs†, p. 144-153

Data description ìe-shop clothing 2008î

Variables:

1. YEAR (2008)

========================================================

2. MONTH -> from April (4) to August (8)

========================================================

3. DAY -> day number of the month

========================================================

4. ORDER -> sequence of clicks during one session

========================================================

5. COUNTRY -> variable indicating the country of origin of the IP address with the

following categories:

1-Australia 2-Austria 3-Belgium 4-British Virgin Islands 5-Cayman Islands 6-Christmas Island 7-Croatia 8-Cyprus 9-Czech Republic 10-Denmark 11-Estonia 12-unidentified 13-Faroe Islands 14-Finland 15-France 16-Germany 17-Greece 18-Hungary 19-Iceland 20-India 21-Ireland 22-Italy 23-Latvia 24-Lithuania 25-Luxembourg 26-Mexico 27-Netherlands 28-Norway 29-Poland 30-Portugal 31-Romania 32-Russia 33-San Marino 34-Slovakia 35-Slovenia 36-Spain 37-Sweden 38-Switzerland 39-Ukraine 40-United Arab Emirates 41-United Kingdom 42-USA 43-biz (.biz) 44-com (.com) 45-int (.int) 46-net (.net) 47-org (*.org)

========================================================

6. SESSION ID -> variable indicating session id (short record)

========================================================

7. PAGE 1 (MAIN CATEGORY) -> concerns the main product category:

1-trousers 2-skirts 3-blouses 4-sale

========================================================

8. PAGE 2 (CLOTHING MODEL) -> contains information about the code for each product

(217 products)

========================================================

9. COLOUR -> colour of product

1-beige 2-black 3-blue 4-brown 5-burgundy 6-gray 7-green 8-navy blue 9-of many colors 10-olive 11-pink 12-red 13-violet 14-white

========================================================

10. LOCATION -> photo location on the page, the screen has been divided into six parts:

1-top left 2-top in the middle 3-top right 4-bottom left 5-bottom in the middle 6-bottom right

========================================================

11. MODEL PHOTOGRAPHY -> variable with two categories:

1-en face 2-profile

========================================================

12. PRICE -> price in US dollars

========================================================

13. PRICE 2 -> variable informing whether the price of a particular product is higher than

the average price for the entire product category

1-yes 2-no

========================================================

14. PAGE -> page number within the e-store website (from 1 to 5)

++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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 Behaviuor: 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.

This dataset provides simulated data for user interactions on an e-commerce platform. It includes sequences of events such as page views, clicks, product views, and purchases. Each record captures user activity within sessions, making it suitable for analyzing clickstream paths and transaction sequences.

Features:

UserID: Unique identifier for each user. SessionID: Unique identifier for each session. Timestamp: Date and time of the interaction. EventType: Type of event (e.g., page view, click, product view, add to cart, purchase). ProductID: Unique identifier for products involved in interactions. Amount: Amount of the transaction (for purchases). Outcome: Target event (e.g., purchase).

This dataset can be used to discover patterns and sequences leading to specific outcomes such as product purchases or churn.

According to Cognitive Market Research, the global Clickstream Analytics market size is USD 1.6 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 13.6% from 2024 to 2031. Market Dynamics of Clickstream Analytics Market

Key Drivers for Clickstream Analytics Market

Increasing Emphasis on Customer Experience Optimization - One of the main reasons the Clickstream Analytics market is growing is the increasing focus on customer experience optimization. Clickstream analytics enables businesses to gain deep insights into user behavior and preferences by analyzing their digital footprints. With increasing competition and changing consumer expectations, businesses are leveraging clickstream analytics to understand customer journeys, identify pain points, and optimize digital experiences. By extracting actionable insights from clickstream data, companies can personalize offerings, streamline user interfaces, and enhance customer satisfaction, ultimately driving higher engagement, retention, and conversion rates.
The rise of e-commerce and digital marketing is anticipated to drive the Clickstream Analytics market's expansion in the years ahead.

Key Restraints for Clickstream Analytics Market

The data privacy regulations restrict clickstream data collection and analysis, and limit the Clickstream Analytics industry growth.
The market also faces significant difficulties related to the limited integration with legacy systems.

Introduction of the Clickstream Analytics Market

Clickstream Analytics market is a vital component of the digital analytics landscape, offering insights into user behavior and online interactions. Leveraging data captured from user clicks, navigation paths, and interactions with web pages or applications, clickstream analytics provides valuable intelligence for businesses across various sectors. From e-commerce platforms optimizing the customer journey to content publishers refining their content strategies, clickstream analytics enables informed decision-making to enhance user experiences, drive engagement, and maximize conversions. Key functionalities include session analysis, user segmentation, behavior flow visualization, and conversion tracking. Advanced techniques like the machine learning and predictive analytics further enrich the capabilities of clickstream analytics, enabling businesses to anticipate user preferences and personalize interactions in real time. With the proliferation of digital channels and the growing importance of online presence, the clickstream analytics market is poised for significant growth, empowering organizations to stay competitive in the digital age.

Our clickstream data offers unparalleled access to a vast array of global datasets, capturing user interactions across websites, apps, and digital platforms worldwide. With coverage spanning multiple industries and geographies, our data provides detailed insights into consumer behavior, online trends, and digital engagement patterns.

Whether you're analyzing traffic flows, identifying audience interests, or tracking competitive performance, our clickstream datasets deliver the scale and granularity needed to inform strategic decisions. Updated regularly to ensure accuracy and relevance, this robust resource empowers businesses to uncover actionable insights and stay ahead in a dynamic digital landscape.

1) Data Introduction • The Clickstream Data for Online Shopping is an e-commerce analysis dataset that summarizes user clickstream, product information, country, price, and other session-specific behavior data from April to August 2008 at an online shopping mall specializing in maternity clothing.

2) Data Utilization (1) Clickstream Data for Online Shopping has characteristics that: • Each row contains 14 key variables: year, month, day, click order, country (by access IP), session ID, main category, product code, color, photo location, model photo type, price, category average price, page number, etc. • Data is configured to enable analysis of various consumer behaviors such as click flows for each session, product attributes, and country-specific access patterns. (2) Clickstream Data for Online Shopping can be used to: • Online Shopping Mall User Behavior Analysis: Using clickstream, session, and product information, you can analyze purchase conversion routes, popular products, and behavioral patterns by country and category. • Improve marketing strategies and UI/UX: analyze the relationship between product photo location, color, price, etc. and click behavior and apply to establish effective marketing strategies and improvement of shopping mall UI/UX.

🛒 Synthetic E-commerce Transactions + Clickstream (2020–2025)

A fully synthetic multi-table dataset modeling an online store: customers, products, sessions, clickstream events, orders, order items, and reviews.
Built with Faker and heuristic funnels to resemble real-world browsing and purchase behavior.

Tables - customers.csv — customer profiles, signup dates, country, opt-in - products.csv — catalog with categories, prices, costs, margins - sessions.csv — session metadata (device, source, start time, country) - events.csv — page_view / add_to_cart / checkout / purchase with timestamps - orders.csv — order headers (payment, discount, totals) - order_items.csv — line items (quantity, unit price, line total) - reviews.csv — product ratings & short text reviews

Example use cases - Funnel analysis & conversion rates - A/B testing exercises (source/device segments) - LTV, RFM, and cohort analysis - Recommenders (content- or item-based) - Demand forecasting & price elasticity demos

All data is synthetic; any resemblance to real people is coincidental.

Discover the booming clickstream analytics market! Our in-depth analysis reveals a $948M market in 2025, projected to exceed $3B by 2033 with a 12.8% CAGR. Learn about key drivers, trends, and leading companies shaping this dynamic industry. Get your free market report now!

The size of the Clickstream Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 11.39% during the forecast period. Recent developments include: August 2023: SAP and Google Cloud announced the expansion of their collaboration by introducing an open data offering designed solution to simplify data landscapes and unleash the power of business data. This allows customers to build a data cloud through SAP's Datasphere solution, combining it with Google's Public Cloud, and store all their data in one place for the overall enterprise landscape, enabling businesses to view their entire data estates in real-time and maximize value from their Google Cloud and SAP software investments., August 2023: HPE invested in a real-time data replication platform, Arcion. Arcion replicates enterprise databases using log-based change data capture in real-time into cloud lake houses and data warehouses to power the next generation of AI applications.. Key drivers for this market are: Rapid Adoption of Mobile Technology Providing Multiple Digital Touchpoints is Encouraging the Market Growth. Potential restraints include: Data Privacy Laws are Limiting the Market Growth. Notable trends are: The Retail Industry will Dominate the Market.

Dataset

This dataset was created by Long Luu

Contents

The size of the Clickstream Analytics market was valued at USD 948 million in 2024 and is projected to reach USD 2202.78 million by 2033, with an expected CAGR of 12.8% during the forecast period.

Clickstream Anomaly Detection AI Market Outlook

According to our latest research, the global Clickstream Anomaly Detection AI market size reached USD 1.57 billion in 2024, reflecting a robust demand for advanced analytics in digital behavior monitoring. The market is poised for significant expansion, expected to grow at a CAGR of 18.9% from 2025 to 2033. By the end of the forecast period, the market is projected to attain a value of USD 7.59 billion by 2033. This remarkable growth is driven by the increasing necessity for real-time fraud detection, digital marketing optimization, and personalized customer engagement across multiple industries. As per our latest research, organizations are rapidly adopting AI-powered clickstream anomaly detection solutions to enhance security, optimize user experiences, and gain actionable insights from vast volumes of digital data.

The primary growth factor fueling the Clickstream Anomaly Detection AI market is the exponential rise in digital transactions and online interactions. As businesses shift towards digital-first strategies, the volume of clickstream data generated from websites, mobile applications, and digital platforms has surged. This data is invaluable for understanding user behavior, but it also presents significant challenges in terms of data management and anomaly detection. AI-powered solutions are uniquely positioned to analyze large datasets in real time, identifying unusual patterns that may indicate fraudulent activity, system errors, or opportunities for optimization. The increasing sophistication of cyber threats and the need for proactive security measures further amplify the demand for advanced anomaly detection capabilities, making AI-driven clickstream analysis a critical component of modern digital infrastructure.

Another significant driver of market growth is the growing emphasis on personalized customer experiences and targeted marketing. In highly competitive sectors such as e-commerce, financial services, and media, organizations leverage clickstream data to tailor content, offers, and recommendations to individual users. AI-based anomaly detection tools enable businesses to identify deviations from normal user journeys, uncovering hidden opportunities for engagement and conversion. This not only enhances customer satisfaction but also improves operational efficiency by automating the detection of irregularities that would otherwise go unnoticed. The integration of AI with clickstream analytics platforms is enabling a new era of data-driven decision-making, where businesses can respond swiftly to emerging trends and customer preferences.

Regulatory compliance and data privacy concerns are also shaping the evolution of the Clickstream Anomaly Detection AI market. With stringent data protection laws such as GDPR and CCPA, organizations are under increasing pressure to ensure the integrity and security of user data. AI-powered anomaly detection systems provide an essential layer of defense by continuously monitoring clickstream activity for signs of data breaches, unauthorized access, or suspicious behavior. This capability not only helps organizations meet regulatory requirements but also builds trust with customers and stakeholders. As regulatory frameworks continue to evolve, the demand for compliant and transparent AI-driven analytics solutions is expected to rise, further propelling market growth.

From a regional perspective, North America currently dominates the Clickstream Anomaly Detection AI market, accounting for the largest share in 2024. This leadership is attributed to the high adoption of advanced analytics technologies, a mature digital ecosystem, and the presence of major industry players. However, the Asia Pacific region is anticipated to exhibit the fastest growth over the forecast period, driven by rapid digitalization, expanding e-commerce markets, and increasing investments in AI infrastructure. Europe also represents a significant market, supported by strong regulatory frameworks and a focus on data-driven innovation. As organizations worldwide continue to embrace digital transformation, the demand for sophisticated clickstream anomaly detection solutions is expected to accelerate across all major regions.

Clickstream data of .gov and .mil urls shortened by bitly.com and hosted on http://measuredvoice.com

Dataset

This dataset was created by Raghu Mariswamegowda

Released under Apache 2.0

Contents

Snapshot img { margin: 10px !important; } Overview of the global clickstream analytics market

Research analysis on the global clickstream analytics market identifies that benefits such as the availability of detailed customer segmentation will be one of the major factors that will have a positive impact on the growth of the market. A detailed segmentation of the customers will help businesses customize their offerings according to the services and advertisements that a customer prefers. This will provide a better quality of user interaction, will increase conversion rates, and lead to high customer loyalty. Clickstream analytics will provide the necessary data, which, when used on mapping or predictive models, allows for detailed customer segmentation. Technavio’s market research analysts predict that this market will grow at a CAGR of almost 14% by 2021.

In terms of geography, Americas accounted for the major shares of the clickstream analytics market during 2016. The growth in the penetration of the Internet is major factor driving the clickstream analytics market growth in this region. The access to large amounts of data gives businesses a higher chance of monetizing their advertisements with clickstream data. The demand of clickstream analytics will continue to increase in the region with the rise in accuracy of the data and rise in user registrations.

Competitive landscape and key vendors

This market appears to be highly fragmented, owing to the presence of numerous vendors. According to the clickstream analytics market outlook, the increasing adoption of clickstream analytics will increase the number of vendors who enter the market, which in turn, will intensify the level of competition among the players. Though the competition is intense among the players in the developed markets such as North America and Europe, the rising adoption of clickstream analytics in the emerging markets will strengthen the competitive environment among the players in these regions as well.

The leading vendors in the market are -

Google
IBM
Microsoft
Oracle

The other prominent vendors in the market are Adobe Systems, AT INTERNET, SAP, Splunk, Talend, Verto Analytics, Vlocity, and webtrends.

Segmentation by data type and analysis of the clickstream analytics market

Master
Transaction

Master data is mainly essential in e-commerce platforms since it provides vendors with information on the kind of customers who refer the website or customer segments that are interested in buying certain products. During 2016, the master data segment accounted for major shares of the clickstream analytics market. It has been expected that the clickstream analytics market size & share will grow in the forthcoming years.

Segmentation by source and analysis of the clickstream analytics market

Host server
Third- party agreements
Network topology
Tracking host computer

Based on the clickstream analytics market forecast, the host server segment accounted for major share of this market during 2016. When a user requests a web page, the server records information such as the user’s IP address, history of URLs visited, and the type of browser in the server log. Organizations are entering into partnerships with companies that provide products to analyze these logs. They are also partnering with companies that provide consulting services to process clickstream data and aggregate them with e-mail data or online sales data to have a comprehensive view of their clients.

Key questions answered in the report include

What will the market size and the growth rate be in 2021?
What are the key factors driving the global clickstream analytics market?
What are the key market trends impacting the growth of the global clickstream analytics market?
What are the challenges to market growth?
Who are the key vendors in the global clickstream analytics market?
What are the market opportunities and threats faced by the vendors in the global clickstream analytics market?
Trending factors influencing the market shares of the Americas, APAC, and EMEA.
What are the key outcomes of the five forces analysis of the global clickstream analytics market? 

Technavio also offers customization on reports based on specific client requirement.

Modeling online browsing and path analysis using clickstream data.

Datasys Categorized Search Behavior organizes millions of daily searches into industry-based categories like retail, finance, travel, and technology. By grouping raw search queries into verticals, this dataset makes it easy to monitor demand shifts, compare interest across sectors, and build targeted audience profiles for digital campaigns.

The global Clickstream Analytics Market was valued at $615.37 Million in 2022, and is projected to $1,298.63 Million by 2030, growing at a CAGR of 11.26%.

Dataset

This dataset was created by SAYAN DE

Released under CC0: Public Domain

Contents

Discover the booming global clickstream analytics market! This comprehensive report reveals key trends, growth drivers, and market size projections through 2033. Learn about leading companies, regional insights, and the impact of AI on customer behavior analysis. Maximize your digital strategy with this valuable market intelligence.