In March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.

According to a study focusing on travel and hospitality websites worldwide, mobile users accounted for most online visitors to such web pages in 2024. That year, mobiles generated **** percent of all the online traffic in the travel and hospitality market. That said, in 2024, the average conversion rate of travel and hospitality websites was higher among desktop users.

trip.com is ranked #20 in HK with 75.87M Traffic. Categories: Airlines, Online Services, Travel and Tourism. Learn more about website traffic, market share, and more!

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

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

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.

Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

amazon.com is ranked #5 in US with 2.56B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

faire.com is ranked #3625 in US with 4.21M Traffic. Categories: Retail. Learn more about website traffic, market share, and more!

For information about the City of Austin's Bluetooth travel sensor data, visit our documentation page: https://github.com/cityofaustin/hack-the-traffic/tree/master/docs Each row in this dataset represents one Bluetooth enabled device that detected at two locations in the City of Austin's Bluetooth sensor network. Each record contains a detected device’s anonymized Media Access Control (MAC) address along with contain information about origin and destination points at which the device was detected, as well the time, date, and distance traveled. How does the City of Austin use the Bluetooth travel sensor data? The data enables transportation engineers to better understand short and long-term trends in Austin’s traffic patterns, supporting decisions about systems planning and traffic signal timing. What information does the data contain? The sensor data is available in three datasets: Individual Address Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Addresses/qnpj-zrb9/data ) Each row in this dataset represents a Bluetooth device that was detected by one of our sensors. Each record contains a detected device’s anonymized Media Access Control (MAC) address along with the time and location the device was detected. These records alone are not traffic data but can be post-processed to measure the movement of detected devices through the roadway network Individual Traffic Matches ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Individual-Traffic-Matche/x44q-icha/data ) Each row in this dataset represents one Bluetooth enabled device that detected at two locations in the roadway network. Each record contains a detected device’s anonymized Media Access Control (MAC) address along with contain information about origin and destination points at which the device was detected, as well the time, date, and distance traveled. Traffic Summary Records ( https://data.austintexas.gov/dataset/Bluetooth-Travel-Sensors-Match-Summary-Records/v7zg-5jg9 ) The traffic summary records contain aggregate travel time and speed summaries based on the individual traffic match records. Each row in the dataset summarizes average travel time and speed along a sensor-equipped roadway segment in 15 minute intervals. Does this data contain personally identifiable information? No. The Media Access Control (MAC) addresses in these datasets are randomly generated.

In April 2021, worldwide visits to YouTube.com amounted to roughly ************. Between January 2017 and April 2021, visitor traffic to YouTube.com has increased by more than *** percent. In 2020, visits to the platform's website experienced an upward trend between the months of April and June.

General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

The city is using Travel Time Index as a measure to quantify traffic delay in the city. The Travel Time Index is the ratio of the travel time during the peak period to the time required to make the same trip at free-flow speeds. It should be noted that this data is subject to seasonal variations. The 2020 Q2 and Q3 data includes the summer months when traffic volumes are lower, thus the Travel Time Index is improved in these quarters. The performance measure page is available at 3.27 Traffic Delay Reduction. Additional Information Source: Bluetooth ARID sensors Contact (author): Cathy Hollow Contact E-Mail (author): catherine_hollow@tempe.gov Contact (maintainer): Contact E-Mail (maintainer): Data Source Type: Table, CSV Preparation Method: Peak period data is manually extracted. The travel time index calculation is the peak period data divided by the free flow data (constant per segment). Publish Frequency: Quarterly Publish Method: Manual Data Dictionary

openai.com is ranked #60 in US with 1.12B Traffic. Categories: AI, Computer Software and Development, Wellness. Learn more about website traffic, market share, and more!

g2.com is ranked #9614 in US with 2.61M Traffic. Categories: Computer Software and Development, Information Technology, Online Services. Learn more about website traffic, market share, and more!

In December 2024, social video platform YouTube recorded approximately ** billion visits on ****** and over ** billion visits from users on ******* devices. The web visitors traffic count from *********************** appeared consistently higher than the ******* visit count in the examined months.

This foot traffic dataset provides real-time and historical visitation patterns across North America, derived from anonymized mobile GPS signals. Irys captures movement data around physical locations and delivers accurate, timestamped insights to power a variety of commercial and civic applications.

The data includes:

Latitude & longitude coordinates Timestamps (epoch and date) Device ID (MAID: IDFA/GAID) Horizontal accuracy Country code Optional IP address, device carrier, and metadata

Clients can query traffic around specific POIs or polygon areas, and receive results in CSV, Parquet, or JSON formats. Delivery is available via API or cloud (AWS S3 / GCP), with updates as frequent as hourly. Event freshness is strong, with 95% of pings delivered within 3 days, and historical data available since September 2022.

Technical and Qualitative Benefits:

Polygon query support (up to 10,000 tiles) Custom schema mapping and folder structuring Flexible, credit-based pricing per query (by area + duration) GDPR & CCPA compliant

This product provides daily, aggregated foot traffic counts at the retail center level, offering comprehensive coverage across over 30,000 retail centers in the United States.

Each mall or retail center is meticulously categorized by type, such as super-regional, power, or lifestyle center, and includes Gross Leasable Area (GLA). This enables robust, structured analysis across various formats and geographical regions.

Distinct from datasets that aggregate tenant-level activity, this product precisely measures the unique number of visits to the retail center itself. It is ground truth validated against physical hardware sensors, ensuring highly accurate measurement even in complex, built-up, and multi-level environments where mobile-only data sources often falter.

Mall-level traffic data can be utilized independently for broad market insights or alongside store-level visit data to understand how individual tenants are performing relative to overall center trends. The data is fully aggregated and anonymized, delivered as a daily feed to support critical business functions such as benchmarking, thorough lease evaluations, and in-depth long-term trend analysis.

reddit.com is ranked #3 in US with 4.35B Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page

In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive location intelligence dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive.

What's Inside the Dataset: - Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape. - Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more. - Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel). - Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making.

How Our Data Drives Success: - Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions. - Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests. - Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues. - Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers.

Empower Your Strategy: dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.

makemytrip.com is ranked #116 in IN with 30.43M Traffic. Categories: Airlines, Online Services, Travel and Tourism. Learn more about website traffic, market share, and more!