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This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

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Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites

Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates

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Disclaimer

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

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.

Visitor Management Software Market Outlook

The global Visitor Management Software Market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 3.8 billion by 2032, exhibiting a CAGR of 13.5% during the forecast period. This remarkable growth is driven by the increasing demand for secure, efficient, and streamlined visitor management systems across various industries, coupled with technological advancements in software solutions.

One of the primary growth factors for the Visitor Management Software Market is the rising emphasis on security and compliance across different sectors. Organizations are increasingly recognizing the importance of monitoring and managing visitor access to enhance security protocols and ensure compliance with regulatory requirements. This is particularly evident in sectors like healthcare, corporate offices, and government facilities where stringent security norms are imperative. The increasing incidences of unauthorized access and data breaches further accentuate the demand for robust visitor management solutions.

Additionally, the integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) into visitor management systems is significantly contributing to market growth. These technological advancements enable more efficient and accurate visitor tracking, enhance user experience through touchless and automated check-ins, and provide real-time data and analytics for better decision-making. The evolving technological landscape is fostering innovation and offering new opportunities for market players to develop sophisticated and user-friendly software solutions.

Another critical factor driving market growth is the increasing adoption of cloud-based solutions. Cloud-based visitor management software offers numerous benefits such as reduced IT infrastructure costs, scalability, easy accessibility, and seamless integration with other systems. These advantages are particularly appealing to small and medium enterprises (SMEs) that may have budget constraints but require efficient visitor management solutions. The shift towards digital transformation and the growing preference for Software-as-a-Service (SaaS) models are further accelerating the adoption of cloud-based visitor management systems.

From a regional perspective, North America is expected to dominate the Visitor Management Software Market due to the early adoption of advanced technologies, the presence of prominent market players, and stringent regulatory norms concerning security and data protection. The Asia Pacific region is also anticipated to witness substantial growth during the forecast period, driven by the increasing investments in smart infrastructure, rapid urbanization, and the growing awareness of security solutions in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, albeit at varying CAGR levels.

In the realm of visitor management, the implementation of a Website Visitor Tracking Tool is becoming increasingly significant. This tool allows organizations to monitor and analyze the behavior of visitors on their websites, providing valuable insights into visitor preferences and interactions. By leveraging this data, businesses can enhance their online presence, tailor their marketing strategies, and improve user engagement. The integration of such tracking tools with visitor management systems offers a comprehensive approach to managing both physical and digital visitor interactions, thereby enhancing overall security and operational efficiency. As organizations continue to prioritize digital transformation, the adoption of website visitor tracking tools is expected to rise, further driving the growth of the visitor management software market.

Component Analysis

The Visitor Management Software Market is segmented into two main components: Software and Services. The software component constitutes the core of visitor management systems, offering functionalities such as visitor registration, badge printing, visitor tracking, and reporting. The demand for sophisticated and feature-rich software solutions is on the rise as organizations seek to enhance their security measures and streamline visitor management processes. The software segment is expected to hold the largest market share during the forecast period, driven by continuous advancements in technology and the

In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

The global visitor management system (VMS) market is set to experience substantial growth, reaching a valuation of USD 1.8 billion in 2025 and being worth USD 6.9 billion by 2035. This significant expansion represents a strong CAGR of 11.7% during the forecast period.

Metric	Value
Industry Size (2025E)	USD 1.8 billion
Industry Value (2035F)	USD 6.9 billion
CAGR (2025 to 2035)	11.7%

Analyzing Visitor Management System Market by Top Investment Segments

Solution	CAGR (2025 to 2035)
Services	13.9%

Platform	Share (2025)
Web Based	68.3%

End User	CAGR (2025 to 2035)
Banks & Financial Institution	12.8%

Contracts & Deals Analysis

Company	Envoy
Contract/Development Details	Partnered with a multinational corporation to deploy a cloud-based visitor management system across global offices, streamlining visitor registration, enhancing security protocols, and ensuring compliance with data protection regulations.
Date	January 2024
Contract Value (USD Million)	Approximately USD15
Renewal Period	3 years

Company	Proxyclick
Contract/Development Details	Secured a contract with a leading healthcare provider to implement a visitor management platform, focusing on improving patient and visitor experiences, automating check-in processes, and integrating with existing security systems for enhanced facility management.
Date	August 2024
Contract Value (USD Million)	Approximately USD 12
Renewal Period	4 years

Country-wise Insights

Countries	CAGR from 2025 to 2035
India	15.3%
China	14.2%
Germany	10.4%
Japan	11.6%
United States	12.3%

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic 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%Esri's historical, 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. Historical traffic is based on the average of observed speeds over the past three years. The live and predictive traffic data is updated every five minutes through traffic feeds. 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. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer 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. The 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. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

The Japanese review site my-best.com had the highest bounce rate among the most visited retail websites in Japan in July 2024. Operated by mybest, Inc. and part of LY Corporation, the website had a bounce of nearly ** percent, while ranking as the ****** most visited retail website in the same month.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

Campgrounds in SEKI. Visitors should check the park website (http://www.nps.gov/seki/planyourvisit/campgrounds.htm) for more information.

Average Annual Daily Traffic data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain data on the total volume of vehicle traffic on a highway or road for a year divided by 365 days.

Introduction

Landing Page Statistics: Landing pages are dedicated web pages designed to convert visitors into leads or customers by focusing on a single, clear call to action. In 2024, the median landing page conversion rate across industries is 6.6%, with top-performing pages exceeding 20%. Email-driven traffic achieves the highest average conversion rate at 19.3%, outperforming paid search (10.9%) and paid social (12%).

Mobile devices account for 82.9% of landing page traffic, yet desktop users exhibit a higher average conversion rate of 12.1% compared to 11.2% for mobile users. Speed is crucial; a one-second delay in page load time can reduce conversions by 7%. Incorporating videos can boost conversions by 86%, and personalized landing pages can convert 202% better than generic ones.

Design elements significantly impact performance. Landing pages with five or fewer form fields convert 120% better than those with more fields. Pages with a single, clear call to action achieve a 13.5% conversion rate, compared to 11.9% for pages with multiple CTAs. Additionally, 38.6% of marketers report that videos enhance landing page conversion rates more than any other element.

Let us check out some of the Landing page statistics concerning landing page performance and the secrets of landing page success.

In March 2024, close to 4.4 billion unique global visitors had visited Wikipedia.org, slightly down from 4.4 billion visitors since August of the same year. Wikipedia is a free online encyclopedia with articles generated by volunteers worldwide. The platform is hosted by the Wikimedia Foundation.

Our Web Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies worldwide, Web Company Database helps you filter potential clients based on custom criteria and speed up the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Company Data provides information about millions of companies, allowing you to find your competitors and see their weaknesses and strengths.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend B2B Web Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global B2B Web Dataset.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

B2B Web Database saves time your employees would otherwise use to search for potential clients manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic 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 speeds Yellow (moderate): 65 - 85% Orange (slow); 45 - 65% Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. 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. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer 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. The 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. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

The census count of vehicles on city streets is normally reported in the form of Average Daily Traffic (ADT) counts. These counts provide a good estimate for the actual number of vehicles on an average weekday at select street segments. Specific block segments are selected for a count because they are deemed as representative of a larger segment on the same roadway. ADT counts are used by transportation engineers, economists, real estate agents, planners, and others professionals for planning and operational analysis. The frequency for each count varies depending on City staff’s needs for analysis in any given area. This report covers the counts taken in our City during the past 12 years approximately.

Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2032, growing at a CAGR of 18.58% from 2026 to 2032.

Web Analytics Market Drivers

Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

analytics tools can be complex to implement and use, requiring technical expertise.

AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.


Link to ESRI Feature Service:

Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations

A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

This dataset contains a list of both Residential Parking Permits and Visitor Parking Permits. The Traffic, Parking and Transportation Department’s Permit Year spans from November 1st through October 31st of the following year. The Parking Permit renewal period spans from November 1st through January 31st of the following year. This dataset will be updated semi-annually at the end of the Permit Year, and at the end of the Parking Permit renewal period, to provide users with updated information from before and after permit renewals occur.

The dataset identifies the Census Block that each parking permit is located in.

The first person that applies for a Resident Parking Permit will automatically receive that household’s single Visitor Parking Permit with their Resident Permit. For households without a vehicle or those who only require a Visitor Parking Permit, the associated fee is $25.00, except for Senior Residents (age 65 or older) or persons with disabilities.

The Account Number field is associated with the first resident in a household who applied for either a Resident Parking Permit or a Visitor Parking Permit. If the resident applied for a Resident Parking Permit they should have an associated Visitor Parking Permit with the same Account Number.

Each permit is characterized by a permit type. The permit types in this dataset include:

A1: Standard Cambridge residential parking permit. A2: Replacement residential permit. A3: Senior resident permit. G1: Visitor permit, no resident permit. G2: Visitor permit with Resident Permit. G3: Senior Visitor Permit Only.

A Senior Resident could have both an A3 and G3 permit, or just a G3 permit.

Resident Parking Permits allow Cambridge residents to park their vehicles, including motorcycles, in locations throughout the City posted "Parking by Permit Only". The purpose of the City's Resident Parking regulation is to maximize the availability of parking for Cambridge residents while discouraging long-term parking on residential streets near commercially zoned areas or transportation access points.

Visitor Parking Permits are provided to Cambridge residents for use by their guests to park near the residents’ homes. When placed on the dashboard, it may be used for up to three consecutive days in locations signed as “Parking by Permit Only” in the geographic area shown on the map on the back of the visitor permits or here on the Traffic and Parking Department’s website. http://www.cambridgema.gov/traffic/Permits/visitorparkingpermits/visitorparkingmap