This data about nola.gov provides a window into how people are interacting with the the City of New Orleans online. The data comes from a unified Google Analytics account for New Orleans. We do not track individuals and we anonymize the IP addresses of all visitors.

Google dominated the web analytics industry in 2024, with three of its web analytics technologies maintaining the top three positions in the global market. Google Global Site Tag was first with a market share of over 34 percent, followed by Google Analytics and Google Universal Analytics who had market shares of approximately 25 and 16 percent, respectively. When all three technologies were combined, Google maintained more than 70 percent of the total market share.

Contains view count data for the top 20 pages each day on the Somerville MA city website dating back to 2020. Data is used in the City's dashboard which can be found at https://www.somervilledata.farm/.

The Report Covers Web Analytics Companies and It is Segmented by Application (Online Marketing & Marketing Automation, Mobile Analytics, Content Marketing, Social Media Management, E-Mail Marketing, and Other Applications), Offering (Solution and Services), End-User Vertical (Retail, Manufacturing, Information Technology, BFSI, Healthcare, Transportation & Logistics, and Other End-User Verticals), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD Billion for all the Above Segments.

Information about pages on the City's website including their age and their Google Analytics data (everything from "PageViews" and to the right). If the Google Analytics fields are empty, the page hasn't been visited recently at all.

Analysis of ‘Website Analytics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ecee4df3-8149-4b74-8927-428ea920b758 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

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.

--- Original source retains full ownership of the source dataset ---

A complete list of live websites using the Independent Analytics technology, compiled through global website indexing conducted by WebTechSurvey.

Web Analytics Tools Market Outlook

The global web analytics tools market size was valued at approximately USD 4.5 billion in 2023 and is projected to reach USD 13.2 billion by 2032, growing at a CAGR of around 12.5% from 2024 to 2032. This growth is driven by the increasing utilization of data-driven decision-making processes across various industries. As organizations strive to enhance their digital presence and optimize their online strategies, the demand for advanced web analytics tools continues to surge.

One of the primary growth factors of the web analytics tools market is the rising adoption of digital marketing and online advertising. Companies are increasingly investing in digital channels to reach a broader audience and engage customers more effectively. Web analytics tools provide valuable insights into user behavior, campaign performance, and conversion rates, enabling businesses to refine their marketing strategies and achieve better ROI. As the digital landscape evolves, the need for sophisticated analytics tools to track and measure the effectiveness of online activities becomes more critical.

Another significant growth driver is the proliferation of e-commerce and the shift towards online shopping. With the exponential growth of online retail, businesses are seeking ways to optimize their websites, improve user experience, and increase sales. Web analytics tools play a crucial role in understanding customer preferences, identifying bottlenecks in the purchase process, and personalizing the shopping experience. As e-commerce continues to expand globally, the demand for robust web analytics solutions is expected to rise correspondingly.

The integration of artificial intelligence (AI) and machine learning (ML) technologies into web analytics tools is also propelling market growth. AI-powered analytics tools can analyze vast amounts of data in real-time, uncover hidden patterns, and generate actionable insights. By leveraging AI and ML capabilities, businesses can gain deeper insights into customer behavior, predict trends, and make data-driven decisions with greater accuracy. The incorporation of these advanced technologies is enhancing the efficiency and effectiveness of web analytics, driving higher adoption rates among enterprises.

The concept of Analytics of Things (AoT) is gaining traction as businesses increasingly seek to harness the power of connected devices and the data they generate. By integrating AoT into web analytics tools, organizations can gain deeper insights into device interactions, user behavior, and operational efficiencies. This integration allows businesses to make more informed decisions, optimize processes, and enhance customer experiences. As the Internet of Things (IoT) continues to expand, the role of AoT in web analytics is expected to grow, providing businesses with a competitive edge in the digital landscape.

In terms of regional outlook, North America holds the largest share of the web analytics tools market, driven by the presence of major technology companies and the high adoption of digital technologies in the region. The Asia Pacific region is expected to witness significant growth during the forecast period, fueled by the rapid digital transformation, increasing internet penetration, and the burgeoning e-commerce sector. Europe is also a key market, with growing awareness about the benefits of web analytics tools among businesses.

Component Analysis

The web analytics tools market is segmented based on components into software and services. The software segment holds a significant share of the market, driven by the increasing demand for advanced analytics solutions that provide real-time insights and comprehensive data analysis. Web analytics software includes various tools and platforms that help businesses track and measure website performance, user behavior, and marketing campaigns. The software segment is expected to continue its dominance during the forecast period, supported by continuous advancements in analytics technologies and the integration of AI and ML capabilities.

Services play a crucial role in the web analytics tools market by providing essential support, implementation, and consulting services to businesses. Professional services include consulting, training, and support services that help organizations effectively utilize web analytics tools and maximize their benefits. Managed services, on the other hand, offer ongoing monitoring,

A complete list of live websites using the Visitor Analytics technology, compiled through global website indexing conducted by WebTechSurvey.

Web traffic statistics for the top 2000 most visited pages on nyc.gov by month.

This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

• Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

• Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

• Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

• Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

  Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Monthly analytics reports for the Brisbane City Council website

Information regarding the sessions for Brisbane City Council website during the month including page views and unique page views.

Monthly analytics reports for the Brisbane City Council website

Information regarding the sessions for Brisbane City Council website during the month including device, country and browser.

A complete list of live websites using the Simple Universal Google Analytics technology, compiled through global website indexing conducted by WebTechSurvey.

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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 rising preference for online shopping and the increasing adoption of cloud-based solutions. The shift towards e-commerce is fueling the demand for advanced web analytics tools that enable businesses to gain insights into customer behavior and optimize their digital strategies. Furthermore, cloud deployment models offer flexibility, scalability, and cost savings, making them an attractive option for businesses of all sizes. However, the market also faces challenges associated with compliance to data privacy and regulations. With the increasing amount of data being generated and collected, ensuring data security and privacy is becoming a major concern for businesses.
Regulatory compliance, such as GDPR and CCPA, adds complexity to the implementation and management of web analytics solutions. Companies must navigate these challenges effectively to maintain customer trust and avoid potential legal issues. To capitalize on market opportunities and address these challenges, businesses should invest in robust web analytics solutions that prioritize data security and privacy while providing actionable insights to inform strategic decision-making and enhance customer experiences.

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

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market activities unfolding across various sectors. Entities such as reporting dashboards, schema markup, conversion optimization, session duration, organic traffic, attribution modeling, conversion rate optimization, call to action, content calendar, SEO audits, website performance optimization, link building, page load speed, user behavior tracking, and more, play integral roles in this ever-changing landscape. Data visualization tools like Google Analytics and Adobe Analytics provide valuable insights into user engagement metrics, helping businesses optimize their content strategy, website design, and technical SEO. Goal tracking and keyword research enable marketers to measure the return on investment of their efforts and refine their content marketing and social media marketing strategies.

Mobile optimization, form optimization, and landing page optimization are crucial aspects of website performance optimization, ensuring a seamless user experience across devices and improving customer acquisition cost. Search console and page speed insights offer valuable insights into website traffic analysis and help businesses address technical issues that may impact user behavior. Continuous optimization efforts, such as multivariate testing, data segmentation, and data filtering, allow businesses to fine-tune their customer journey mapping and cohort analysis. Search engine optimization, both on-page and off-page, remains a critical component of digital marketing, with backlink analysis and page authority playing key roles in improving domain authority and organic traffic.

The ongoing integration of user behavior tracking, click-through rate, and bounce rate into marketing strategies enables businesses to gain a deeper understanding of their audience and optimize their customer experience accordingly. As market dynamics continue to evolve, the integration of these tools and techniques into comprehensive digital marketing strategies will remain essential for businesses looking to stay competitive in the digital landscape.

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)

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By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

In today's digital landscape, web analytics plays a pivotal role in driving business growth and optimizing online performance. Cloud-based deployment of web analytics is a game-changer, enabling on-demand access to computing resources for data analysis. This model streamlines business intelligence processes by collecting,

Check out Market Research Intellect's Enterprise Website Analytics Software Market Report, valued at USD 3.5 billion in 2024, with a projected growth to USD 8.1 billion by 2033 at a CAGR of 12.8% (2026-2033).

Web traffic statistics for the several City-Parish websites, brgov.com, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

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

Figure 4 Data

This data uses specific lines from the Virtual Reality.txt file.

The action 'LongText Search' refers to a user searching for "Saint Basils Cathedral" with text in the Wander app.

The action 'ShortText Search' refers to a user searching for "Mexico" with text in the Wander app.

The .xlsx and .csv file are identical

Each file includes (from right to left):

The origional packet data,

each line of data organized from smallest to largest packet size in order to calculate the mean and standard deviation of each packet capture,

and the final Cumulative Distrubution Function (CDF) caluclation that generated the Figure 4 Graph.

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A complete list of live websites using the Wp Google Analytics technology, compiled through global website indexing conducted by WebTechSurvey.