Weather Channel had 285.6 million average visitors to its website in the 12 months running to May 2024, making it the leading global news brand worldwide in this respect. Following in second place was the New York Times with 113 million web visitors.

This graph depicts the estimated number of visitors to the Christie's website and app from 2017 to 2019. In 2019, the number of online visitors amounted to approximately 13.3 million, up from approximately 11 million the previous year.

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...

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.

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.

In January 2019, each visitor of a travel-related website in China visited travel websites an average of 16.6 times during the month. In comparison, each visitor of a travel-related website in Australia visited travel websites on average 2.8 times throughout the month in January 2019.

The number of unique visitors to the Smithsonian Institution's websites declined by 11.6 percent in 2024 over the previous fiscal year. In the fiscal year ending September 30, 2024, the combined number of visits across all Smithsonian websites totaled almost 150 million.

Code:

Packet_Features_Generator.py & Features.py

To run this code:

pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

-h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

Purpose:

Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

Uses Features.py to calcualte the features.

startMachineLearning.sh & machineLearning.py

To run this code:

bash startMachineLearning.sh

This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

Options (to be edited within this file):

--evaluate-only to test 5 fold cross validation accuracy

--test-scaling-normalization to test 6 different combinations of scalers and normalizers

Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

--grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

Purpose:

Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

Data

Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

First number is a classification number to denote what website, query, or vr action is taking place.

The remaining numbers in each line denote:

The size of a packet,

and the direction it is traveling.

negative numbers denote incoming packets

positive numbers denote outgoing packets

Monthly statistics for pages viewed by visitors to the Queensland Government website—Community support franchise. Source: Google Analytics

Jordan Number of Visitors: Dead Sea Panorama: Residents data was reported at 660.000 Person in Dec 2017. This records an increase from the previous number of 635.000 Person for Nov 2017. Jordan Number of Visitors: Dead Sea Panorama: Residents data is updated monthly, averaging 772.500 Person from Jan 2006 (Median) to Dec 2017, with 144 observations. The data reached an all-time high of 12,163.000 Person in May 2016 and a record low of 28.000 Person in Sep 2008. Jordan Number of Visitors: Dead Sea Panorama: Residents data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

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 70.5 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.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Your rights, crime and the law franchise. Source: Google Analytics

Jordan Number of Visitors: Karak data was reported at 1,400.000 Person in Dec 2017. This records a decrease from the previous number of 2,300.000 Person for Nov 2017. Jordan Number of Visitors: Karak data is updated monthly, averaging 5,700.000 Person from Jan 2004 (Median) to Dec 2017, with 168 observations. The data reached an all-time high of 29,800.000 Person in Oct 2010 and a record low of 450.000 Person in Jun 2016. Jordan Number of Visitors: Karak data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

Jordan Number of Visitors: Um Qais data was reported at 2,403.000 Person in Dec 2017. This records a decrease from the previous number of 3,319.000 Person for Nov 2017. Jordan Number of Visitors: Um Qais data is updated monthly, averaging 6,275.500 Person from Jan 2004 (Median) to Dec 2017, with 168 observations. The data reached an all-time high of 105,218.000 Person in Apr 2012 and a record low of 1,246.000 Person in Jun 2017. Jordan Number of Visitors: Um Qais data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

Monthly statistics for pages viewed by visitors to the Queensland Government website—People with disability franchise. Source: Google Analytics

This indicator is no longer maintained, and is considered OBSOLETE.

INDICATOR DEFINITION A count of visits and visitor numbers to Australian Antarctic Territory sites and Australia's sub-Antarctic islands by Australian and overseas tour operators and private vessels. Data are also available for Australian tour operators that visit other (non-AAT) areas of the Antarctic and sub-Antarctic islands.

TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system.

This indicator is one of: PRESSURE

RATIONALE FOR INDICATOR SELECTION Shipborne Antarctic tourist numbers have quadrupled in the past fifteen years. Antarctic tourism is expected to continue to exhibit high growth, particularly if more large cruise ships begin operating there. Antarctic tourism is currently concentrated around the Antarctic Peninsula area and associated sub-Antarctic islands. Apart from visits to Australia's sub-Antarctic Macquarie Island (which is managed by the State of Tasmania), there are currently only limited tourist visits to the AAT and other Australian sub-Antarctic islands. It is, however, important to track these activities due to the potential risk of cumulative environmental impact: the areas of most interest to tourists are those with concentrations of wildlife, with unique physical or biotic characteristics, or with heritage sites. Increased visits by tourist ships in Antarctic waters also increase the potential for oil spills, wildlife disturbance, effluent/waste discharges and introduced diseases.

DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial scale: Australian Antarctic Territory and Australian sub-Antarctic islands visited by tour operators. Data from the Antarctic Peninsula (not Australian territory) is also included, from 2001-02 onwards, based on the reports of Australian tour operators who operate on the Peninsula. Note that Australian operators typically carry fewer than 10% of the total number of tourists in the Peninsula region, so the data does not reflect the overall pressure on that region.

Frequency: Collected/reported annually, based on austral summer season for tour activities.

Measurement technique: Data collected via initial environmental impacts assessments (EIAs) provided by operators/owners and via post visit reports. These data can be collated as required. Data on tourist visits/activities are also collected by the International Association of Antarctica Tour Operators (IAATO), although this information is predominantly about operators who are members of IAATO.

Australia must provide information on private vessel activities in the Antarctic Treaty Area as part of Antarctic Treaty reporting obligations. Information from operators is also sought, and provided in the EIAs, on the type of operation and tourist activities and measures taken to minimise environmental impacts, e.g. oil spills contingencies.

RESEARCH ISSUES Several issues are of concern with regard to increased tourism activity in the Antarctic region.

The potential for cumulative impacts needs to be explored and methods developed to identify and quantify impacts at specific sites.

Increased tourist and ship activity has the potential to cause pollution. Implications for increased pollutant loads in Antarctic ecosystems need to be addressed and acceptable levels of pollutants need to be identified.

The introduction of exotic pests and/or diseases due to tourist activities has the potential to considerably affect Antarctic ecosystems. Work needs to be done to assess introductions that may occur and that have already occurred, and the impacts of these introductions.

Jordan Number of Visitors: Petra: Residents data was reported at 11,145.000 Person in Sep 2018. This records a decrease from the previous number of 25,423.000 Person for Aug 2018. Jordan Number of Visitors: Petra: Residents data is updated monthly, averaging 7,795.000 Person from Jan 2004 (Median) to Sep 2018, with 177 observations. The data reached an all-time high of 69,464.000 Person in Dec 2007 and a record low of 1,274.000 Person in Oct 2005. Jordan Number of Visitors: Petra: Residents data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

Monthly statistics for pages viewed by visitors to the Queensland Government website—Education and training franchise. Source: Google Analytics

Jordan Number of Visitors: Aqaba Museum: Residents data was reported at 467.000 Person in Dec 2015. This records an increase from the previous number of 411.000 Person for Nov 2015. Jordan Number of Visitors: Aqaba Museum: Residents data is updated monthly, averaging 350.000 Person from Jan 2004 (Median) to Dec 2015, with 144 observations. The data reached an all-time high of 1,233.000 Person in Jan 2005 and a record low of 21.000 Person in Sep 2008. Jordan Number of Visitors: Aqaba Museum: Residents data remains active status in CEIC and is reported by Ministry of Tourism and Antiquities. The data is categorized under Global Database’s Jordan – Table JO.Q009: Number of Visitors: by Tourist Sites.

Among the presented online marketplaces in the Baltics, Pigu.lt had the largest desktop traffic in July 2023, at 4.5 million visits. It was followed by Senukai.lt and 220.lv with 3.7 million and 2.5 million visits, respectively. Furthermore, Pigu.lt was the highest-earning online store in Lithuania in 2022.