Comparison of user, site, and network-centric approaches to web analytics data collection showing advantages, disadvantages, and examples of each approach at the time of the study.

Comparison of definitions of total visits, unique visitors, bounce rate, and session duration conceptually and for the two analytics platforms: Google Analytics and SimilarWeb.

Price Comparison Websites (PCWs) Market Outlook

According to our latest research, the global Price Comparison Websites (PCWs) market size reached USD 10.8 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 10.2% during the forecast period, reaching USD 25.8 billion by 2033. This impressive growth is primarily fueled by the increasing digitalization of retail, the proliferation of e-commerce platforms, and the growing consumer demand for transparency and value in online purchasing decisions. As per the latest research, the surge in mobile internet penetration and the integration of advanced technologies such as artificial intelligence and machine learning are further accelerating the adoption and effectiveness of price comparison websites globally.

One of the primary growth drivers for the Price Comparison Websites (PCWs) market is the evolving consumer behavior toward online shopping and digital services. Consumers are increasingly seeking platforms that can help them make informed purchasing decisions by providing real-time comparisons of products, services, and prices across multiple vendors. The convenience offered by PCWs, along with the assurance of finding the best deals, has resulted in a significant uptick in user engagement. Furthermore, the rise of e-commerce giants and the diversification of online marketplaces have created a complex shopping environment, making price comparison websites an essential tool for both consumers and businesses looking to optimize their purchasing and selling strategies. As a result, PCWs have established themselves as a critical component of the global digital commerce ecosystem.

Another significant factor contributing to the growth of the PCWs market is the rapid advancement in technology. The integration of artificial intelligence, machine learning, and big data analytics has enabled price comparison websites to offer more personalized and accurate recommendations to users. These technologies allow PCWs to analyze vast amounts of data, predict price trends, and deliver tailored deals based on individual preferences and browsing history. Additionally, the adoption of mobile-first strategies has made price comparison services more accessible, driving higher engagement rates, especially among younger, tech-savvy consumers. The ongoing innovation in user experience design and the implementation of secure payment gateways have further enhanced consumer trust and loyalty toward these platforms.

The expanding scope of PCWs beyond traditional product categories is also a key growth factor. Initially focused on electronics and consumer goods, price comparison websites have diversified into sectors such as travel, insurance, financial services, and utilities. This diversification has opened up new revenue streams and attracted a broader user base. For instance, travel comparison sites are now instrumental in helping consumers find the best deals on flights, hotels, and car rentals, while insurance and financial services comparison platforms empower users to make informed choices about policies and investment options. The ability to compare a wide range of products and services on a single platform not only enhances user convenience but also positions PCWs as indispensable tools in the modern digital economy.

Regionally, the market for price comparison websites shows strong growth across North America, Europe, and the Asia Pacific, with each region exhibiting unique adoption patterns and growth drivers. In North America, high internet penetration and a mature e-commerce landscape have fostered widespread acceptance of PCWs. Europe, with its diverse retail ecosystem and stringent consumer protection regulations, has also witnessed substantial growth. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by rapid digitalization, increasing smartphone usage, and a burgeoning middle class. The competitive dynamics in these regions are shaped by local consumer preferences, regulatory environments, and the presence of regional and global players, making the PCWs market a dynamic and evolving space worldwide.

Difference uses Google Analytics as the Baseline. Results based on Paired t-Test for Hypotheses Supported.

In 2023, nearly ** percent of Italian online shoppers reported to have used comparison websites to find information on shipping and delivery conditions. Another ** percent of surveyed consumers looked for special offers and discounts, while shipping and delivery conditions came in third (45.8 percent).

Enterprise Website Analytics Software Market Outlook

The global Enterprise Website Analytics Software market size was valued at approximately USD 3.45 billion in 2023 and is projected to reach about USD 10.48 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.1% during the forecast period. This robust growth can be attributed to the increasing importance of online presence for businesses, the rising adoption of data-driven decision-making processes, and the ever-growing demand for customer insights and behavioral analysis.

One of the major growth factors for the Enterprise Website Analytics Software market is the increasing emphasis on digital marketing strategies across various industries. As businesses strive to enhance their online presence and digital customer engagement, the need for sophisticated analytics tools to measure website performance becomes imperative. The ability to track and analyze user interactions, conversion rates, and other metrics helps businesses to optimize their websites, enhance user experience, and ultimately drive sales growth.

Another key driver is the rapid technological advancements in the field of big data and artificial intelligence (AI). These technologies enable the processing of vast amounts of data generated from website visits, providing deeper and more accurate insights into customer behavior. With AI and machine learning algorithms, analytics software can now predict customer preferences and trends, allowing businesses to tailor their strategies more effectively. Additionally, the integration of AI in analytics processes helps in automating complex data analysis, making it accessible even for non-technical users.

The shift towards e-commerce and online retail has also significantly boosted the demand for enterprise website analytics software. With more consumers shopping online, businesses need advanced tools to understand their customers' online behavior better. Analytics software helps e-commerce companies to monitor site traffic, identify potential issues, and improve user experience, thereby increasing customer satisfaction and loyalty. Furthermore, the COVID-19 pandemic has accelerated digital transformation across various sectors, leading to a surge in demand for analytics solutions.

The emergence of Advanced Analytics Service Software is revolutionizing the way businesses approach data analysis. By leveraging sophisticated algorithms and machine learning models, these software solutions offer unparalleled insights into complex data sets. This enables organizations to make more informed decisions, optimize their operations, and enhance customer experiences. As businesses increasingly recognize the value of data-driven strategies, the demand for advanced analytics services is expected to grow significantly. These tools not only facilitate real-time data processing but also provide predictive analytics capabilities, allowing companies to anticipate market trends and customer needs with greater accuracy.

Regionally, North America holds a significant share of the market, driven by the presence of a large number of tech-savvy businesses and high adoption rates of advanced technologies. Europe follows closely, with an increasing number of businesses recognizing the importance of data analytics in staying competitive. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to rapid digitalization and growing internet penetration in countries like China and India.

Component Analysis

In the Enterprise Website Analytics Software market, the component segment is bifurcated into Software and Services. The software segment dominates the market due to the frequent demand for advanced analytics tools that offer features such as real-time data tracking, customer journey mapping, and conversion rate optimization. These software solutions are continually evolving to include more sophisticated functionalities, making them indispensable for businesses aiming to leverage data-driven insights.

The services segment, while smaller in market share compared to software, plays a crucial role in the overall ecosystem. Services include consulting, implementation, training, and support that complement the software solutions. Many enterprises, particularly those lacking in-house technical expertise, rely on these services to effectively deploy and utilize analytics software. The demand for managed ser

This statistic shows a comparison of webpage traffic sources of Slack and Salesforce in April 2019. According to data collected by GP Bullhound, ninety-six percent of Slack's webpage traffic during the measured period was direct, compared to Salesforce's more mixed traffic strategy.

This statistic shows the results of a survey which asked British adults who go online about their usage of price comparison websites. People aged 35-44 were most likely to have used a price comparison website, with three quarters of respondents claiming they had previously done so.

The Price Comparison Website (PCW) market has rapidly evolved into an essential tool for consumers and businesses alike, offering a seamless way to evaluate prices, product features, and service offerings from various retailers all in one place. As online shopping continues to gain traction, these platforms serve as

Comparison of Price: USD per 1M Tokens; Lower is better by Provider

Baidu Search Index is a big data analytics tool developed by Baidu, the most popular search engine in China, to reflect changes in search popularity for specific keywords.

Based on an ecosystem partnership with Baidu Search Index, Datago has direct access to keyword search index data from Baidu Index’s database. BSIA-Investor selects A-share stock codes in different formats as keywords, aggregates the corresponding Baidu Index data, and provides insights into the online search interest of Chinese investors for over 5,000 A-share stocks. This data helps investors better understand the market sentiment of millions of Chinese investors toward A-shares, including:

• Investor Interest Measurement: A direct reflection of how Chinese investors’ interest in the A-share market fluctuates.

• Cross-Comparison of Listed Companies: Search index data offers strong comparability, enabling users to assess differences in market attention among various listed companies and identify high-interest stocks.

• Trend Tracking & Market Insights: By monitoring changes in the search popularity of individual stocks, investors can capture market hotspots, gain timely insights into potential investment opportunities, and leverage data for informed decision-making.

• Coverage: 5000+ A-share stocks

• History: 2016-01-01

• Frequency: Daily

The Tag Management Software (TMS) market, valued at $786.4 million in 2025, is projected to experience robust growth, driven by the increasing need for efficient digital marketing and improved website performance across enterprises. The compound annual growth rate (CAGR) of 7.3% from 2025 to 2033 indicates a significant expansion, fueled by several key factors. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both large enterprises and small and medium-sized businesses (SMEs). Furthermore, the growing complexity of website tracking and the need for streamlined data management are pushing businesses to adopt TMS solutions. This allows for centralizing and managing marketing tags, enhancing data accuracy, improving website loading speed, and facilitating better compliance with data privacy regulations. While the on-premises segment currently holds a significant share, the cloud-based segment is experiencing faster growth due to its flexibility and accessibility. Competition among established players like Adobe, Google, Tealium, and others is fierce, leading to continuous innovation in features, integrations, and user experience. This competitive landscape is ultimately benefiting users by driving down prices and improving the quality of available solutions. Geographical distribution shows North America currently commanding a substantial market share due to early adoption and a mature digital landscape; however, growth in Asia-Pacific and other regions is expected to accelerate significantly in the forecast period. The market segmentation highlights the different needs of large enterprises and SMEs. Large enterprises often require sophisticated features and extensive integrations, while SMEs prioritize ease of use and cost-effectiveness. This difference in requirements shapes the product offerings and pricing strategies of TMS vendors. The shift towards cloud-based deployments is a significant trend, offering improved accessibility, scalability, and reduced infrastructure costs. However, security concerns and data privacy regulations remain potential restraints, demanding robust security measures and compliance certifications from TMS providers. Future growth hinges on the continued expansion of digital marketing activities, advancements in data analytics, and the emergence of new technologies that can integrate seamlessly with TMS platforms, such as AI-powered analytics and automation tools. The overall market outlook remains extremely positive, suggesting substantial opportunities for both established players and emerging competitors.

Thank you for explaining that you don’t collect data on the number of abandoned applications. Alternatively, please could you share the website analytics which shows the number of visitors to each webpage, from this information we can compare against form completion rates and if there is a particular drop in traffic on certain pages/questions? Response A copy of the information is attached. Please read the below notes to ensure correct understanding of the data. Attached is raw data covering individual page hits from 19 February 2024 to 17 March 2024. Please be advised that our Data Analysts have viewed the Google analytics for the Healthy Start website pages, and despite the search options including country, regions and town or city, the data provided within these fields is an approximation and cannot be guaranteed as a true location of a user. We believe that Google analytics geo location capabilities are based on IP (Internet Protocol) addresses which may not resolve to a true location, and instead could be based off the users ISP (Internet Service Provider) server location. Therefore, please be aware that this raw data is not reliable.

Despite substantial policy efforts aimed at developing regional innovation systems (RIS), our understanding of institutional factors that promote synergy and integration at the regional scale is limited. To address this gap, we constructed 2 representations of research university ecosystems in California (CA) and Texas (TX) that identify institutional co-occurrences in research and news media, within and across these regions. The selection of these regions is attributed to the University of California and the University of Texas, two multi-campus university systems (MUS) that feature distinct configurations of institutional specialization. As such, we exploit these differences to analyze four institutional assortativity channels that foster system-level synergies: institutional proximity, prestige, homophily, and specialization. The first representation we constructed is based upon ~3 million publications collected from Clarivate Analytics Web of Science Core Collection (WOS) that are affiliated with at least one of the 28 institutions in our sample, which together represent >5% of publications indexed by WOS over the sample period 1970-2020. The 28 institutions consist of 10 institutions belonging to the University of California (UC) system and 12 institutions belonging to the University of Texas (UT) system; we complement these two public multi-campus university systems (MUS) by including six prominent private universities, which represent a non-MUS comparison group. As universities increasingly compete for visibility to attract student enrollment and build scientific reputation, the management of institution of higher education (IHE) brand has emerged as an important strategic endeavor. Hence, the second representation we constructed is based upon ~2 million digital news media articles published between 2000-2020 that specifically mention at least one of these universities. Similar to the first representation, mapping the rates of digital media co-visibility among IHE facilitates a systems-level understanding of the factors that condition the structure and dynamics of brand stratification within research university ecosystems, and fosters the development of novel measures for two dimensions of brand equity – namely, visibility and association. Methods 1) Research affiliated with a particular institution. We collected 2,965,198 records published between 1970-2020 from the Clarivate Analytics WOS Core Collection using their in-house institutional disambiguation tool to identify publications with at least one author from a particular campus. 2) Digital media affiliated with a particular institution. We assembled a dataset of 1,947,349 unique web-based digital media articles representing news articles, blog posts and other web content specifically mentioning any of the institutions by their official name, e.g. “University of California Los Angeles” or “UCLA”, accounting for the official abbreviations. These media articles were originally produced by 57,947 unique media sources, according to primary source data obtained from the Media Cloud project (MC) database, https://www.mediacloud.org/ . We use both data sources to develop a co-occurrence framework for defining university-university relationships based upon research co-production (via collaboration among scholars affiliated with each university) and media article co-visibility over the period 2000-2020, by applying concepts and methods from network science, machine learning (NLP) and organizational science.

Market Overview The global Price Comparison Websites (PCWs) market is projected to reach a valuation of 65.12 billion by 2033, exhibiting a CAGR of 7.84% from 2025 to 2033. The growth is attributed to the increasing adoption of online shopping and the need for consumers to find the best deals on products and services. PCWs provide a convenient platform for consumers to compare prices from multiple retailers, ensuring they make informed purchasing decisions. Market Drivers, Trends, and Restraints The key drivers of the PCW market include the proliferation of e-commerce, advancements in artificial intelligence (AI), and the growing popularity of mobile-based PCWs. Trends such as the increasing use of data analytics and personalized recommendations are further fueling market growth. However, potential restraints include concerns about data privacy, regulatory challenges, and the emergence of alternative shopping channels. Market segments include general merchandise, travel and hospitality, financial services, and electronics. Consumers, businesses, and students represent the primary target audience, while data is sourced from retailer websites, user reviews, and crowdsourced data. Recent developments include: , The Price Comparison Websites (PCWs) market is projected to reach USD 128.526 billion by 2032, exhibiting a CAGR of 7.84% from 2024 to 2032. The growing adoption of smartphones and the increasing penetration of the internet have fueled the growth of the PCWs market. Additionally, the rising popularity of online shopping and the convenience offered by PCWs are driving market expansion. Key players in the market are investing heavily in enhancing their platforms and expanding their geographical reach. Recent developments include the launch of new features such as personalized recommendations and loyalty programs. The market is expected to witness further growth in the coming years due to the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies., Price Comparison Websites (PCWs) Market Segmentation Insights, Price Comparison Websites (PCWs) Market Business Model Outlook. Key drivers for this market are: Ecommerce Surge OmniChannel Integration Data Analytics Advancements Mobile Shopping Boom Personalized Recommendations. Potential restraints include: Rising Ecommerce Penetration Growth in Mobile Commerce Advancements in Artificial Intelligence Increasing CrossBorder Shopping Growing Popularity of Personalized Recommendations.

Price comparison portals can be useful in various ways. While they allow buyers to find the best possible price available for a product, they can also help sellers to make sure that the pricing of their products remain competitive. Sellers also can use these portals to market their products in front of a very targeted audience.

In the U.S., Google Shopping is the most well-known price comparison portal with a brand awareness of 59 percent. Second on this list are Yahoo Shopping and Bing Shop, that are recognized by almost half of the internet respondents. Shopzilla comes in fourth, followed by Shopping.com and PriceGrabber.

For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.

Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

Contains Gallup data from countries that are home to more than 98% of the world's population through a state-of-the-art Web-based portal. Gallup Analytics puts Gallup's best global intelligence in users' hands to help them better understand the strengths and challenges of the world's countries and regions. Users can access Gallup's U.S. Daily tracking and World Poll data to compare residents' responses region by region and nation by nation to questions on topics such as economic conditions, government and business, health and wellbeing, infrastructure, and education.

The Gallup Analytics Database is accessed through the Cornell University Libraries here. In addition, a CUL subscription also allows access to the Gallup Respondent Level Data. For access please refer to the documentation below and then request the variables you need here.

Before requesting data from the World Poll, please see the Getting Started guide and the Worldwide Research Methodology and Codebook (You will need to request access). The Codebook will give you information about all available variables in the datasets. There are other guides available as well in the google folder. You can also access information about questions asked and variables using the Gallup World Poll Reference Tool. You will need to create your user account to access the tool. This will only give you access to information about the questions asked and variables. It will not give you access to the data.

For further documentation and information see this site from New York University Libraries. The Gallup documentation for the World Poll methodology is also available under the Data and Documentation tab.

In addition to the World Poll and Daily Tracking Poll, also available are the Gallup Covid-19 Survey, Gallup Poll Social Series Surveys, Race Relations Survey, Confidence in Institutions Survey, Honesty and Ethics in Professions Survey, and Religion Battery.

The process for getting access to respondent-level data from the Gallup U.S. Daily Tracking is similar to the World Poll Survey. There is no comparable discovery tool for U.S. Daily Tracking poll questions, however. Users need to consult the codebooks and available variables across years.

The COVID-19 web survey began on March 13, 2020 with daily random samples of U.S. adults, aged 18 and older who are members of the Gallup Panel. Before requesting data, please see the Gallup Panel COVID-19 Survey Methodology and Codebook.

The Gallup Poll Social Series (GPSS) dataset is a set of public opinion surveys designed to monitor U.S. adults’ views on numerous social, economic, and political topics. More information is available on the Gallup website: https://www.gallup.com/175307/gallup-poll-social-series-methodology.aspx As each month has a unique codebook, contact CCSS-ResearchSupport@cornell.edu to discuss your interests and start the data request process.

Starting in 1973, Gallup started measuring the confidence level in several US institutions like Congress, Presidency, Supreme Court, Police, etc. The included dataset includes data beginning in 1973 and data is collected once per year. Users should consult the list of available variables.

The Race Relations Poll includes topics that were previously represented in the GPSS Minority Relations Survey that ran through 2016. The Race Relations Survey was conducted November 2018. Users should consult the codebook for this poll before making their request.

The Honesty and Ethics in Professions Survey – Starting in 1976, Gallup started measuring US perceptions of the honesty and ethics of a list of professions. The included dataset was added to the collection in March 2023 and includes data ranging from 1976-2022. Documentation for this collection is located here and will require you to request access.

Religion Battery: Consolidated list of items focused on religion in the US from 1999-2022. Documentation for this collection is located here and will require you to request access.

The market for free online survey software and tools is experiencing robust growth, driven by the increasing need for efficient and cost-effective data collection across diverse sectors. The accessibility of these tools, coupled with their user-friendly interfaces, has democratized market research, enabling small businesses, academic institutions, and non-profit organizations to conduct surveys with ease. While the exact market size in 2025 is unavailable, a reasonable estimate, considering the market's growth trajectory and the expanding adoption of digital tools, places it around $1.5 billion. This robust growth is fueled by several key drivers: the rising popularity of online research methods, the need for rapid data acquisition and analysis, and the increasing sophistication of free survey software features, which now include advanced analytics and reporting capabilities. Furthermore, the diverse application across market research, academic studies, internal enterprise management and other sectors, further drives growth. Market segmentation by survey type (mobile vs. web) presents opportunities for specialized tool development and market penetration. Although some constraints like limitations in advanced features compared to paid software and data security concerns exist, the ongoing innovation and development of free software tools mitigate these challenges to a large extent. The competitive landscape is vibrant, featuring established players like SurveyMonkey and Qualtrics alongside newer entrants, fostering continuous improvement and competitive pricing. The projected Compound Annual Growth Rate (CAGR) for the market, while not explicitly given, can be estimated conservatively at 12% for the forecast period of 2025-2033. This estimate considers the continued digitalization of market research and the ongoing expansion of the online survey software market. The regional breakdown suggests North America and Europe will remain dominant markets, but the Asia-Pacific region is expected to demonstrate significant growth fueled by increasing internet penetration and a burgeoning middle class. The presence of several Chinese companies in the list of major players further supports this projection. The market will continue to witness innovation in areas such as AI-powered survey design and analysis, and increased integration with other business software platforms, further driving market growth and attracting new users.

Comparison of Represents the average of math benchmarks in the Artificial Analysis Intelligence Index (AIME 2024 & Math-500) by Model

Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model