Be ready for a cookieless internet while capturing anonymous website traffic data!
By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.
This product will include Anonymous IP Data and Web Traffic Data for B2B2C.
Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.
Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.
Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.
Check our product that has the most accurate Web Traffic Data for the B2B2C market.
In February 2025, global visitors to the shein.com website were most likely aged 25 to 34 years old, with over 26 percent of visitors to the site being from this age group. Ranked second were 35 to 44 year olds, who made up about 20 percent of shein.com website traffic.
We collect, validate, model, and segment raw data signals from over 900+ sources globally to deliver thousands of mobile audience segments. We then combine that data with other public and private data sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms then clean, enrich, unify and aggregate these data sets for use in our products. We have categorized our audience data into consumable categories such as interest, demographics, behavior, geography, etc. Audience Data Categories:Below mentioned data categories include consumer behavioral data and consumer profiles (available for the US and Australia) divided into various data categories. Brand Shoppers:Methodology: This category has been created based on the high intent of users in terms of their visits to Brand outlets in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Place Category Visitors:Methodology: This category has been created based on the high intent of users visiting specific places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Demographics:This category has been created based on deterministic data that we receive from apps based on the declared gender and age data. Marital Status, Education, Party affiliation, and State residency are available in the US. Geo-Behavioural:This category has been created based on the high intent of users in terms of the frequency of their visits to specific granular places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Interests:This segment is created based on users' interest in a specific subject while browsing the internet when the visited website category is clearly focused on a specific subject such as cars, cooking, traveling, etc. We use a deterministic model to assign a proper profile and time that information is valid. The recency of data can range from 14 to 30 days, depending on the topic. Intent:Factori receives data from many partners to deliver high-quality pieces of information about users’ shopping intent. We collect data from sources connected to the eCommerce sector and we also receive data connected to online transactions from affiliate networks to deliver the most accurate segments with purchase intentions, such as laptops, mobile phones, or cars. The recency of data can range from 7 to 14 days depending on the product category. Events:This category was created based on the high interest of users in terms of content related to specific global events - sports, culture, and gaming. Among the event segments, we also distinguish categories related to the interest in certain lifestyle choices and behaviors. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. App Usage:Mobile category is a branch of the taxonomy that is dedicated only to the data that is based on mobile advertising IDs. It is based on the categorization of the mobile apps that the user has installed on the device. Auto Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of automobile and other automotive attributes via a survey or registration. These audiences are currently available in the USA. Motorcycle Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of motorcycle and other motorcycle-based attributes via a survey or registration. These audiences are currently available for the USA. Household:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on users' declaring their marital status, parental status, and the overall number of children via a survey or registration. These audiences are currently available in the USA. Financial:Consumer Profiles - Available for the US and Australia this audience has been created based on their behavior in different financial services like property ownership, mortgage, investing behavior, and wealth and declaring their estimated net worth via a survey or registration. Purchase/ Spending Behavior:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on their behavior in different spending behaviors in different business verticals available in the USA. Clusters:Consumer Profiles - Available for the US and AustraliaClusters are groups of consumers who exhibit similar demographic, lifestyle, and media consumption characteristics, empowering marketers to understand the unique attributes that comprise their most profitable consumer segments. Armed with this rich data, data scientists can drive analytics and modeling to power their brand’s unique marketing initiatives. B2B Audiences;Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring their employee credentials, designations, and companies they work in, further specifying business verticals, revenue breakdowns, and headquarters locations. Customizable Audiences Data Segment:Brands can choose the appropriate pre-made audience segments or ask our data experts about creating a custom segment that is precisely tailored to your brief in order to reach their target customers and boost the campaign's effectiveness. Location Query Granularity:Minimum area: HEX 8Maximum area: QuadKey 17/City
When examining the age demographics of visitors to various online marketplaces, the majority of visitors were individuals aged 25 to 34. Over ** percent of the aliexpress.com and mercadolibre.com visitor base fell within this age range. Conversely, approximately ** percent of visitors to the global sites of Etsy and Amazon were between 45 and 54.
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A report of website traffic broken down by country of origin
In December 2023, the website shoppersdrugmart.ca received the highest number of visitors aged 25 to 34, with nearly 30 percent of them falling within this age bracket. The 35-44-year-old demographic ranked second, accounting for nearly 18 percent of the traffic to shoppersdrugmart.ca's website.
Website visit data with URLs, categories, timestamps, and anonymized unique device identifiers.
Over 50 million unique devices per day. 1 billion+ raw signals per month with historical raw data available.
This data can be combined with demographic and lifestyle data to provide a richer view of the anonymous users/devices.
Intended for training ML and AI models.
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This anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.
We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.
The data set is analyzed in the following paper:
The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.
If you use data or code from this repository, please cite the paper above and the Zenodo link.
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EdTech Statistics: The EdTech enterprise has been growing at a remarkable evolve in recent years, and by 2023 the market revenue is going to be $142.37 billion approximately. According to current market reviews, the worldwide market is anticipated to reach a cost of $549.6 billion by means of 2032, with a CAGR of 14.2% from 2024 to 2033. North America presently dominates the global educational Tech market, with a sales proportion of 36%, attributed to massive-scale investment through challenge capitalist investments and personal fairness traders. The corporate digital marketplace is expected to develop a valuation of $27.5 billion in 2023 with a CAGR of 10.5% and $44.6 billion by the end of 2028. In this text, we will delve deeper into the Educational Technology statistics for 2023, along with the total range of players inside the industry, country-wise statistics, leading platform facts, and future records. We may even discover the recognition of these platforms and provide some interesting statistics approximately the industry. So, let's dive in and take a better look at the booming Educational Tech enterprise. Key Takeaways (Reference: grandviewresearch.com) As of 2023, the full marketplace worth of Education Technology is looking ahead to be $142.37 billion. The international Educational Tech marketplace is predicted to attain a value of $421 billion by 2032. North America dominates the global market, with a revenue proportion of 36%. In this newsletter, we are able to explore the records for 2023, together with marketplace percentage, utilization information, demographics, and internet site traffic sources. Over the last 5 years, the demand and searches have improved by 232% in this sector.
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.
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Blogging Statistics: Blogging remains a pivotal element in digital content strategies, with over 600 million blogs among 1.9 billion websites globally. WordPress alone powers more than 43% of all websites, hosting over 60 million blogs and facilitating approximately 70 million new posts each month. In the United States, the blogging community has expanded to over 32.7 million active bloggers as of 2022. Globally, bloggers publish around 3 billion posts annually, equating to over 8.2 million posts daily.
The influence of blogs is substantial, with 77% of internet users regularly reading blog content. Incorporating relevant images can enhance blog views by 94%, and posts with seven or more images are 2.3 times more likely to yield strong results. Furthermore, 70% of consumers prefer learning about companies through articles rather than advertisements, highlighting the trust and engagement blogs foster.
For businesses, blogging offers significant advantages: companies with active blogs experience 55% more website visitors and generate 67% more monthly leads compared to those without. These statistics underscore blogging's role as a cost-effective and impactful tool for enhancing brand visibility and driving audience engagement.
With internet access, anyone can start a blog and reach a global audience through social media. In this article, we'll explore blogging statistics in more detail.
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Fitbit statistics: In today's health-conscious society, monitoring personal wellness metrics has become increasingly important. Fitbit, a leader in wearable technology, offers users detailed insights into their daily activities, sleep patterns, and heart health. On average, Fitbit users take between 10,000 to 18,000 steps per day, aligning with general fitness recommendations.
Sleep tracking data reveals that users typically achieve about 6.5 hours of sleep each night, accompanied by an average Sleep Score of 77. Regarding cardiovascular health, the average resting heart rate among Fitbit users is approximately 65 beats per minute, with variations influenced by factors such as age and gender. These statistics underscore Fitbit's role in providing users with actionable data to support their health and wellness goals.
Let's delve into the fascinating insights through Fitbit statistics and explore what they can tell us about the brand’s performance in 2025.
This dataset includes the number and rate of drug overdose emergency department (ED) visits among Virginians by year, drug type, geography, and demographics.
Global visitors to sephora.com in April 2024 were most likely to be between the ages of ** and **. This age group accounted for over a third of website visitors. The second-most popular age group on sephora.com were ** to 44-year-olds, who accounted for around ** percent of traffic to the website. Sephora's journey to global recognition Sephora is a giant of cosmetic and beauty products, and in 2023, it was able to achieve the highest revenue among online beauty stores, surpassing big names such as Ulta and Shiseido. The brand was first launched in 1970 and went online for the first time in 1999 in the United States. This was an important milestone for the brand, as it helped Sephora expand its reach beyond its physical locations and begin to build its presence in e-commerce, which was just starting to take off at the time. The Sephora shopper There are other metrics that are known about the typical Sephora shopper in the U.S., aside from the age groups that visit Sephora.com the most. Recent research shows that Sephora customers make on average ****** U.S. dollars per year. This is slightly less than Ulta shoppers at ******* USD, but more than Target shoppers at ****** USD. Sephora.com visitors are also mostly female, with women accounting for a whopping *********** of all visits. Regarding Sephora shoppers' social media use for beauty inspiration, TikTok is where they like to scroll. In 2023, around ** percent of Sephora shoppers said they mostly used TikTok to find information about beauty products, brands, and techniques.
Home to NTIA data and analysis on computer and Internet use in the United States. Since November 1994, NTIA has periodically sponsored data collections on Internet use and the devices Americans use to go online as a supplement to the Census Bureau’s annual Current Population Survey (CPS); analyzed the data; and reported the findings. In recent years, NTIA has also linked to the raw datasets on the Census Bureau website. To facilitate the public’s access to the CPS Internet use data, NTIA is now making these data available here, and has developed an important tool to help site visitors find information quickly. Our Data Explorer tool enables users to select from dozens of metrics tracked over time, as well as a number of demographic characteristics, and charts the requested data. NTIA invites your feedback at data@ntia.doc.gov as we continually improve Data Central.
TagX Web Browsing Clickstream Data: Unveiling Digital Behavior Across North America and EU Unique Insights into Online User Behavior TagX Web Browsing clickstream Data offers an unparalleled window into the digital lives of 1 million users across North America and the European Union. This comprehensive dataset stands out in the market due to its breadth, depth, and stringent compliance with data protection regulations. What Makes Our Data Unique?
Extensive Geographic Coverage: Spanning two major markets, our data provides a holistic view of web browsing patterns in developed economies. Large User Base: With 300K active users, our dataset offers statistically significant insights across various demographics and user segments. GDPR and CCPA Compliance: We prioritize user privacy and data protection, ensuring that our data collection and processing methods adhere to the strictest regulatory standards. Real-time Updates: Our clickstream data is continuously refreshed, providing up-to-the-minute insights into evolving online trends and user behaviors. Granular Data Points: We capture a wide array of metrics, including time spent on websites, click patterns, search queries, and user journey flows.
Data Sourcing: Ethical and Transparent Our web browsing clickstream data is sourced through a network of partnered websites and applications. Users explicitly opt-in to data collection, ensuring transparency and consent. We employ advanced anonymization techniques to protect individual privacy while maintaining the integrity and value of the aggregated data. Key aspects of our data sourcing process include:
Voluntary user participation through clear opt-in mechanisms Regular audits of data collection methods to ensure ongoing compliance Collaboration with privacy experts to implement best practices in data anonymization Continuous monitoring of regulatory landscapes to adapt our processes as needed
Primary Use Cases and Verticals TagX Web Browsing clickstream Data serves a multitude of industries and use cases, including but not limited to:
Digital Marketing and Advertising:
Audience segmentation and targeting Campaign performance optimization Competitor analysis and benchmarking
E-commerce and Retail:
Customer journey mapping Product recommendation enhancements Cart abandonment analysis
Media and Entertainment:
Content consumption trends Audience engagement metrics Cross-platform user behavior analysis
Financial Services:
Risk assessment based on online behavior Fraud detection through anomaly identification Investment trend analysis
Technology and Software:
User experience optimization Feature adoption tracking Competitive intelligence
Market Research and Consulting:
Consumer behavior studies Industry trend analysis Digital transformation strategies
Integration with Broader Data Offering TagX Web Browsing clickstream Data is a cornerstone of our comprehensive digital intelligence suite. It seamlessly integrates with our other data products to provide a 360-degree view of online user behavior:
Social Media Engagement Data: Combine clickstream insights with social media interactions for a holistic understanding of digital footprints. Mobile App Usage Data: Cross-reference web browsing patterns with mobile app usage to map the complete digital journey. Purchase Intent Signals: Enrich clickstream data with purchase intent indicators to power predictive analytics and targeted marketing efforts. Demographic Overlays: Enhance web browsing data with demographic information for more precise audience segmentation and targeting.
By leveraging these complementary datasets, businesses can unlock deeper insights and drive more impactful strategies across their digital initiatives. Data Quality and Scale We pride ourselves on delivering high-quality, reliable data at scale:
Rigorous Data Cleaning: Advanced algorithms filter out bot traffic, VPNs, and other non-human interactions. Regular Quality Checks: Our data science team conducts ongoing audits to ensure data accuracy and consistency. Scalable Infrastructure: Our robust data processing pipeline can handle billions of daily events, ensuring comprehensive coverage. Historical Data Availability: Access up to 24 months of historical data for trend analysis and longitudinal studies. Customizable Data Feeds: Tailor the data delivery to your specific needs, from raw clickstream events to aggregated insights.
Empowering Data-Driven Decision Making In today's digital-first world, understanding online user behavior is crucial for businesses across all sectors. TagX Web Browsing clickstream Data empowers organizations to make informed decisions, optimize their digital strategies, and stay ahead of the competition. Whether you're a marketer looking to refine your targeting, a product manager seeking to enhance user experience, or a researcher exploring digital trends, our cli...
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In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement.
Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed.
We will be putting together a full report on this software once we have completed our investigation.
It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified.
This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.
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TripAdvisor Statistics: TripAdvisor is one of the world’s largest travel sites, and it will not change the way users travel. There’s a wealth of reviews and, hence, millions of users on the site. They will use the information learned from these reviews.
TripAdvisor, founded in February 2000 and headquartered in Needham, Massachusetts, operates worldwide with its flagship site available in approximately 40 countries and 20 languages. As of 2023, it hosts nearly 1 billion user-generated reviews and opinions across about 8 million listings—including hotels, restaurants, attractions, and more. In 2023, its platform attracted around 294 million unique visitors across the website and app, generating total revenue of US$ 1.788 billion in that year.
The company employed 2,845 staff in 2023. In 2024 alone, its community contributed 79.7 million new submissions, comprising 31.1 million reviews and 38.1 million other contributions. However, in 2024, TripAdvisor also removed 2.7 million fraudulent reviews, equivalent to nearly one in twelve submissions.
hence, both travelers and companies that offer travel services will benefit from them. Below is a comprehensive report on TripAdvisor statistics for 2024.
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Through its Employment and Financial Services (EFS) division, Assisted Living and Social Services (ALSS) programs form a strong foundation of support to help many Albertans find and keep jobs. The ministry provides financial support, employment services, career resources, referrals, information on job fairs and workshops, and local labor market information. The goal is to help individuals and families gain independence by providing opportunities to enhance their skills to get jobs. The alis.alberta.ca website provides employment resources to help Albertans enhance their employability, plan for education and training, make informed career choices, and connect to and be successful in the labour market. This dataset provides information on web traffic statistics for the alis website, including information on pageviews and web sessions, demographic information for web sessions, and traffic information for the alis YouTube channel at: https://www.youtube.com/user/ALISwebsite.
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The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.
Be ready for a cookieless internet while capturing anonymous website traffic data!
By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.
This product will include Anonymous IP Data and Web Traffic Data for B2B2C.
Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.
Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.
Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.
Check our product that has the most accurate Web Traffic Data for the B2B2C market.