Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.

Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.

Use Case: Analyze Year Over Year Growth Rate by Region

Problem A public investor wants to understand how a company’s year-over-year growth differs by region.

Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends

Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels

Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

Website Traffic Analysis

Website traffic analysis is the process of monitoring and evaluating the visitors to a website. It provides insights into how users are interacting with the site, where they are coming from, which pages they visit most often, and how long they stay. By analyzing this data, businesses can understand user behavior, improve site performance, and optimize content to increase engagement and conversions.

Key metrics include the number of visitors, page views, bounce rate, traffic sources (organic, referral, direct), and geographic location. Website traffic analysis is essential for enhancing SEO, refining marketing strategies, and boosting overall user experience.

Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. 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.

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.

This information is updated almost in real time, with a frequency of about 5 minutes, which is the minimum time of several traffic light cycles, necessary to give a real measurement, and that the measurement is not affected in case the traffic light is open or closed. There are other related data sets such as: Oh, traffic. Map of traffic intensity frames, with the same information in KML format, and with the possibility of seeing it in Google Maps or Google Earth. Oh, traffic. Location of traffic measurement points. Traffic data history since 2013 NOTICE: The data structure of the file has been changed by incorporating date, time and coordinates x e and of the measurement. You can view all the traffic information of the City on the Madrid mobility information website, Report: http://informo.munimadrid.es

As of March 2024, hltv.org accounted for over 6.91 percent of referral traffic to video streaming platform Twitch.tv. Twitch's second-largest referral traffic driver was ikioi-ranking.com, which generated more than 6.3 percent of referral traffic to Twitch.tv. Overall, referrals accounted for 1.13 percent of traffic to Twitch.

This data set features a hyperlink to the New York State Department of Transportation’s (NYSDOT) Traffic Data (TD) Viewer web page, which includes a link to the Traffic Data interactive map. The Traffic Data Viewer is a geospatially based Geographic Information System (GIS) application for displaying data contained in the roadway inventory database. The interactive map has five viewable data categories or ‘layers’. The five layers include: Average Daily Traffic (ADT); Continuous Counts; Short Counts; Bridges; and Grade Crossings throughout New York State.

📊 Dataset Description: Daily Website Traffic and Engagement Metrics

This dataset contains daily web traffic and user engagement information for a live website, recorded over an extended period. It provides a comprehensive view of how user activity on the platform varies in response to marketing initiatives and temporal factors such as weekends and holidays.

The dataset is particularly suited for time series forecasting, seasonality analysis, and marketing effectiveness studies. It is valuable for both academic and practical applications in fields such as digital analytics, marketing strategy, and predictive modeling.

🧾 Use Case Scenarios:

• Forecasting future page views using past behavior and external influencing factors
• Evaluating the impact of advertising spend on web traffic and ROI
• Detecting seasonality and weekly/cyclical patterns in user engagement
• Developing time-aware models for resource planning (e.g., server load, content drops)
• Training and benchmarking time series models such as ARIMA, SARIMA, RNN, LSTM, and GRU

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.

In 2023, most of the global website traffic was still generated by humans but bot traffic is constantly growing. Fraudulent traffic through bad bot actors accounted for 32 percent of global web traffic in the most recently measured period, representing an increase of 1.8 percent from the previous year. Sophistication of Bad Bots on the rise The complexity of malicious bot activity has dramatically increased in recent years. Advanced bad bots have doubled in prevalence over the past two years, indicating a surge in the sophistication of cyber threats. Simultaneously, simple bad bots saw a 6 percent increase compared to the previous year, suggesting a shift in the landscape of automated threats. Meanwhile, areas like entertainment, and law & government face the highest amount of advanced bad bots, with more than 78 percent of their bot traffic affected by evasive applications. Good and bad bots across industries The impact of bot traffic varies across different sectors. Bad bots accounted for over 57.2 percent of the gaming segment's web traffic. Meanwhile, almost half of the online traffic for telecom and ISPs was moved by malicious applications. However, not all bot traffic is considered bad. Some of these applications help index websites for search engines or monitor website performance, assisting users throughout their online search. Therefore, areas like entertainment, food and groceries, and financial services experienced notable levels of good bot traffic, demonstrating the diverse applications of benign automated systems across different sectors.

This application provides an interactive experience to look up traffic count reports across the City of Cleveland. Traffic count reports are conducted using unmanned vehicle counter devices that detect the volume and speed of vehicular traffic.InstructionsEach point represents a single traffic count observation that was conducted since 2019.Zoom into a point, click on it to generate a pop-up that presents summary statistics and a PDF link for each report.Use Filter or Search to narrow down to your area or time of interest.Data GlossarySee: Cleveland Traffic Count Reports - Overview (arcgis.com)Update FrequencyMonthly, at the end of each monthThis application uses the following dataset(s):Cleveland Traffic Count ReportsContactsCity Planning Commission

As of the last quarter of 2023, 31.57 percent of web traffic in the United States originated from mobile devices, down from 49.51 percent in the fourth quarter of 2022. In comparison, over half of web traffic worldwide was generated via mobile in the last examined period.

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Web Analytics Market Size 2025-2029

The web analytics market size is forecast to increase by USD 3.63 billion at a CAGR of 15.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing preference for online shopping and the adoption of cloud-based solutions. Businesses are recognizing the value of web analytics in understanding customer behavior and optimizing digital strategies. However, challenges associated with compliance to data privacy and regulations pose a significant hurdle. With the increasing volume and complexity of data, ensuring compliance with regulations such as GDPR and CCPA can be a daunting task. Additionally, ensuring data security and privacy in a cloud environment requires robust security measures and adherence to best practices. The Web Analytics market is poised for continuous expansion over the coming years, driven by the increasing adoption of cloud computing services.
These challenges, while complex, present opportunities for companies that can offer comprehensive solutions addressing both the analytical and regulatory aspects of web analytics. Companies that can effectively navigate these challenges and provide actionable insights will be well-positioned to capitalize on the market's growth potential. Furthermore, the integration of IoT technologies into business operations generates vast amounts of data, requiring advanced analytics capabilities to derive valuable insights.

What will be the Size of the Web Analytics Market during the forecast period?

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The market is characterized by the integration of user experience design and data-driven marketing strategies. Organic traffic and session recording are essential components of user experience optimization, while paid media and data storytelling drive customer engagement and revenue attribution. Data science plays a pivotal role in data-driven decision making, with page load time and content optimization key factors in enhancing customer experience. Data warehousing and data engineering facilitate the management of vast amounts of data, enabling data visualization tools to provide insights into customer lifetime value and marketing ROI. In today's dynamic e-commerce landscape, businesses aim to provide personalized experiences and exceptional services to attract and retain customers.

How is this Web Analytics Industry segmented?

The web analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


Application

  Social media management
  Targeting and behavioral analysis
  Display advertising optimization
  Multichannel campaign analysis
  Online marketing


Component

  Solutions
  Services


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period. In today's digital business landscape, web analytics plays a pivotal role in driving marketing strategies and optimizing online performance. Cloud-based web analytics platforms enable on-demand data analysis through remote computing resources. This deployment model streamlines business intelligence processes by collecting, integrating, analyzing, and presenting valuable insights for informed decision-making. Cloud computing offers benefits such as quick deployment, flexibility, scalability, and real-time data visibility. These advantages fuel the growth of the cloud-based segment in web analytics. Marketers and website owners leverage machine learning algorithms, data visualization tools, and real-time analytics for customer profiling, conversion rate optimization, and funnel analysis.

Artificial intelligence and big data are integral to advanced web analytics, providing predictive insights and audience segmentation. Social media marketing and analytics, search engine optimization, email marketing analytics, and display advertising are essential components of digital marketing that are enhanced by web analytics. Data security, data privacy, and data quality are crucial concerns addressed by web analytics platforms. They offer robust data governance, ensuring data integrity and compliance with regulations. Cross-device tracking, mobile analytics, and multi-channel analytics provide a holistic view of user behavior and website performance. Website traffic, page views, time on site, and click-through rate are essential metrics used for goal tracking and conversion optimization.

Attribution modeling, a/b testing, and reporting tools help evaluate the effectiveness of marketing c

The Cape Cod Commission annually conducts vehicle volume, speed and classification counts along the public roadway network and performs turning movement counts at local intersections. The State of Massachusetts counts the Bridges and two locations as well. This viewer combines all of this historical data in one viewer with quick station snapshots and graphs.

Traffic Count Viewer is an online mapping application, which users can use to explore traffic count reports in different locations within the Delaware Valley, including Philadelphia. Users search by location (address, city, zip code, or place name) to view point features on the interactive mapping visualization of traffic records. Clicking on a point of interest or grouping multiple points on the map yields traffic count information tables, which includes: Date of Counnt ; DVRPC File # ; Type ; Annual Average Daily Traffic (AADT) ; Municipality ; Route Number ; Road Name ; Count Direction ; and From/To Locations, as well as a link to the detailed (hourly) report. Data tables are exportable as .CSV and detailed reports are available for export in multiple formats (including basic .doc and .rtf outputs.) Traffic count data is collected by the Delaware Valley Regional Planning Commission and other agencies.

Network Traffic Analyzer Market size was valued at USD 3.54 Billion in 2024 and is projected to reach USD 5.86 Billion by 2032, growing at a CAGR of 10.6% during the forecast period 2026-2032.

Global Network Traffic Analyzer Market Drivers

The market drivers for the Network Traffic Analyzer Market can be influenced by various factors. These may include:

Growing Risks to Cybersecurity: The increasing sophistication and frequency of cyber threats and attacks are driving the need for network traffic analyzers to improve security protocols. These instruments support the identification and mitigation of dubious network activity. Increasing Network Infrastructure Complexity: Organisations need sophisticated tools to monitor and analyze network traffic because network infrastructures, especially hybrid and multi-cloud systems, are becoming more and more complicated. Network traffic analyzers shed light on these complex infrastructures' security and performance. Growing Cloud Computing Adoption: There is a growing need for network traffic analyzers that can monitor and optimize performance across cloud environments due to the widespread adoption of cloud services and the migration of applications and data to the cloud.

Dataset Card for road-traffic

** The original COCO dataset is stored at dataset.tar.gz**

  Dataset Summary

road-traffic

  Supported Tasks and Leaderboards

object-detection: The dataset can be used to train a model for Object Detection.

  Languages

English

  Dataset Structure





  Data Instances

A data point comprises an image and its object annotations. { 'image_id': 15, 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/road-traffic.

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.

The map layers in this service provide color-coded maps of the traffic conditions you can expect for the present time (the default). The map shows present traffic as a blend of live and typical information. Live speeds are used wherever available and are established from real-time sensor readings. Typical speeds come from a record of average speeds, which are collected over several weeks within the last year or so. Layers also show current incident locations where available. By changing the map time, the service can also provide past and future conditions. Live readings from sensors are saved for 12 hours, so setting the map time back within 12 hours allows you to see a actual recorded traffic speeds, supplemented with typical averages by default. You can choose to turn off the average speeds and see only the recorded live traffic speeds for any time within the 12-hour window. Predictive traffic conditions are shown for any time in the future.The color-coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation, and field operations. A color-coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes.The map also includes dynamic traffic incidents showing the location of accidents, construction, closures, and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis.Data sourceEsri’s typical speed records and live and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds.Data coverageThe service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. Look at the coverage map to learn whether a country currently supports traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, visit the directions and routing documentation and the ArcGIS Help.SymbologyTraffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%To view live traffic only—that is, excluding typical traffic conditions—enable the Live Traffic layer and disable the Traffic layer. (You can find these layers under World/Traffic > [region] > [region] Traffic). To view more comprehensive traffic information that includes live and typical conditions, disable the Live Traffic layer and enable the Traffic layer.ArcGIS Online organization subscriptionImportant Note:The World Traffic map service is available for users with an ArcGIS Online organizational subscription. To access this map service, you'll need to sign in with an account that is a member of an organizational subscription. If you don't have an organizational subscription, you can create a new account and then sign up for a 30-day trial of ArcGIS Online.

Data that that populates the Vision Zero View map, which can be found at www.nycvzv.info Vision Zero is the City's goal for ending traffic deaths and injuries. The Vision Zero action plan can be found at http://www.nyc.gov/html/visionzero/pdf/nyc-vision-zero-action-plan.pdf Crash data is obtained from the Traffic Accident Management System (TAMS), which is maintained by the New York City Police Department (NYPD). Only crashes with valid geographic information are mapped. All midblock crashes are mapped to the nearest intersection. Injuries and fatalities are grouped by intersection and summarized by month and year. This data is queried and aggregated on a monthly basis and is current as of the query date. Current year data is January to the end of the latest full month. All mappable crash data is represented on the simplified NYC street model. Crashes occurring at complex intersections with multiple roadways are mapped onto a single point. Injury and fatality crashes occurring on highways are excluded from this data. Please note that this data is preliminary and may contain errors, accordingly, the data on this site is for informational purposes only. Although all attempts to provide the most accurate information are made, errors may be present and any person who relies upon this data does so at their own risk.