Google Analytics Tools Research Articles

Website Traffic Patterns and User Behavior: A Comprehensive Study of Visitor Interactions and Engagement Metrics

Websites play a crucial role in disseminating information, promoting communication, and engaging various stakeholders. In the context of universities, websites serve as central online hubs for academic programs, campus life, faculty profiles, resources, news, and more. This study focuses on the website of the University of Antique (UA), a state university in the Philippines, to analyze visitor behavior and engagement. The research objectives include collecting and analyzing data on website visits, page views, bounce rates, time spent on pages, and navigation patterns. The study aims to identify frequently accessed pages, assess the impact of marketing campaigns, capture visitor demographics, and identify areas for website improvement. Data collection took place over a 60-day period using Google Analytics tools, including acquisition, page statistics, and search tools. The study follows a systems approach, where visitor data is automatically recorded in the Google Analytics database. The research methodology involves measuring acquisition metrics, page and screen metrics, device and browser metrics, and geographic metrics. The results indicate that organic search traffic performs well in attracting new users, with the home page showing the highest engagement. Mobile devices are dominant in accessing the website, while the majority of users are from the Philippines. The findings provide insights for optimizing website design, content relevance, and user experience to enhance engagement and achieve conversion goals.

Comparative Analysis Of On-Page And Off-Page White Hat Search Engine Optimization (SEO) Techniques On Website Popularity

Currently, the use of Search Engine Optimization (SEO) has become a necessity to achieve better ranking results from Search Engines known as Search Engine Optimization, which is a collection of techniques for positioning a site so that it can be indexed by search engines and get a position in search engine results—result Pages (SERPs). Based on Globalstatistics data, there has been an increase in internet users in Indonesia who search for products through the search engine market, which has reached 97.38%. This study aims to increase the visibility of a website or multi-umah web page in search results to get a higher ranking on the SERPs in the search results. search results using white hat SEO by comparing on-page techniques and off-page techniques through descriptive qualitative methods, then analyzed using Google Search Console and Google Analytics tools to understand keyword performance, behavior, and customer interests on the umahmulti.biz.id website

Personas creation using Google Analytics

This case study investigates how a marketing persona may be created with the use of data gathered by cookies and with the use of Google Analytics. The data gathered originates from the largest IT e-learning platform VITA. The basis of our research was measurement in the Google Analytics tool and the WooCommerce plug-in within the WordPress content management system. Our case study shows how a marketing persona may be created and recommends that once such a persona is created it needs to be validated repeatedly with data on real customers before it may be used for marketing purposes.

Nigeria at sixty: An analysis of user participation in an online national competition amidst the Covid-19 pandemic

Activities across the world were halted due to the COVID-19 pandemic in the year 2020. Events such as sports, national celebrations, international exhibitions and conferences were cancelled or postponed due to the restrictions posed by governments to mitigate the pandemic. The Information Communication Technology (ICT) sector being loosely constrained by the restrictions, was mandated to facilitate some of these events. In this research, we made computational analysis, by leveraging an Information Technology (IT) platform (Website) to conduct pre-anniversary competitions in celebration of Nigeria’s 60th Anniversary. The aim of using the website was to gather Information regarding the pre-anniversary competitions to determine user participation in online events across Nigeria. Initially, information about the site was propagated via various media outlet to call for participation. Activities performed by participants across all states of the nation (Nigeria) were recorded, as well as the site activities for a designated period of time. An extensive analysis was conducted using the Google analytics tool. Performance show that much needed to be done to improve and engage citizens in participating in national events, which employ IT platforms as an alternative to the main event during the COVID-19 pandemic.

Monitoring the quality of e-learning implementation in educational institutions

The article analyzes some aspects of quality control and efficiency of electronic educational and methodological complexes of educational disciplines usage in the educational process. Analysis of the implementation of e-learning and of user work allows to build a model of student’s work, identify the disadvantages of both organizational and technological plan and take timely steps to eliminate them. The solution to this problem should include a comprehensive approach to ensure an objective result. Google Analytics tools, Moodle Learning Management System (LMS) tools, the teacher’s surveys to monitor the quality of e-learning in an institution proves its efficiency and allows to see the full advantages and disadvantages of ongoing e-learning in an institution, plan and implement further development and improving e-learning. The analysis of the effectiveness of e-courses usage should be carried out in a comprehensive manner, using the monitoring tools of the educational process adopted in the educational institution. Such as surveys for teachers and students, analysis of success, etc. The specifics of e-learning, the Moodle LMS tools and third-party services for collecting statistics and analyzing user activity in the LMS should be taken into account.

A Regression Model for Analysis of Bounce Rate using Web Analytics

Bounce rate is an effective parameter to measure the quality of any website. Bounce rate refers to the percentage of visitors that leave a website (or “bounce” back to the search results or referring website) after viewing only one page a website. High bounce rate is bad as it depicts that the content on a site didn’t match what the visitor was looking for so he left without viewing another page. Since bounce rate equates to visitors taking absolutely no action on a website so this metric could be used as a measure of success .This paper analyses the bounce rate of a website based on web analytics data. In this paper, analysis of bounce rate will be based on performance of website. Data is collected using Google Analytics tool. After applying preprocessing techniques to data an eleven step regression model is built using the various attributes like Average Server Response Time, Average Server Connection Time, Average Redirection Time, Average Page Download Time, Average Domain Lookup time and Average Page Load Time. Mathematical equation is constructed on the basis of outcome of result so that bounce rate can be analyzed and predicted. Model is further refined after establishing the correlation between various attributes. Correlation is established to improve the accuracy in analysis and prediction of bounce rate. This regression model gives insight about the various parameters involved and their effect on bounce rate. Qunatile Quantile plot is constructed to see if plausible data is normally distributed. This complete experiment is done using R Studio

Using Web Analytics to Assess Traffic to the Mandela Portal: The Case of African Countries

ABSTRACTThis article is a longitudinal assessment of the visitors to the Mandela Portal between 2009 and 2016. It is based on web analytics methodology that consists of a four-step process with the first and second steps using data collected by Google Analytics tool. The article outlines trends of global figures as well as specific trends within the top ten African countries. It further explored statistics from the top five African countries: South Africa, Kenya, Nigeria, Tanzania, and Ghana. There are two main findings: those related to web traffic trends and those exploring the trustworthiness of Google Analytics data.

Analyzing E-Commerce website using Google Analytics Tool to enhance Customer Interaction

The dynamic nature of the web increases the importance of E-commerce platforms, which creates the need for good performance in E-commerce websites. Understanding user's invisible behaviour and responding with favourable solutions are important issues in continuously increasing online market, which in turn results in better user experience. This paper provides a study of Google Analytics for an E-commerce website, so that they can increase the performance of the website and revenue generated. After studying the Google Analytics of the website, we formulated research questions and recommended the solution to the website owners.

The Mandela Portal – an assessment of global visitors using Web analytics

PurposeThis paper aims to perform a longitudinal assessment of the visitors to the Mandela Portal using Web analytics over a period of seven years, between 2009 and 2015.Design/methodology/approachThis paper is based on Web analytics methodology that consists of a four-step process and utilises the first and second steps with data collected using Google Analytics.FindingsThe research process found a number of trends relating to the Portal’s visitors, including changes in the ranking of countries from which the visitors accessed the website as well as the variety of language settings in the Web browsers. It identified some issues both with the Google Analytics tool and broader implications on the trustworthiness of data.Originality/valueThis paper provides an analysis of Web visitors to the Mandela Portal, offering trends that are only possible when viewed over a long period. It also explores issues of data trustworthiness.

A Study of Web Mining Application on E-Commerce using Google Analytics Tool

mining is the application of data mining techniques to ascertain knowledge from WWW. Web mining is applied in E-Commerce to know the browsing behavior of customers. The problem in E-Commerce is we don't have any idea about our visitors till they place an order, after that you will be able to gain access to significant personal information from the sale. The main aim of this work is define a good alternative to stay successful in E-Commerce business by understand customers better. The objective of the research work is to analysis what appear interesting the visitor to buy user product. Web Usage Mining allows the seller to observe, examine and discover patterns from composed information to form a primary statistical basis for decision making. The method of research work is defined by the precondition to properly use Web Usage Mining is to gather qualitative visitor data, that is to become able to know, whether a visitor has followed a link to get to a seller's shop, whether a convinced product has placed a seller's site first in a search engine etc. The research work is best used for E-Commerce business categories and development purpose. To analyze the visitor click stream of event generation we using Google Analytics Tool. This study discusses about the existing approach of tracing visitor data and highlights its shortcoming and rectifying them to gains a huge success in the field of E- Commerce. This approach will guide E-Commerce business into a profitable point in economy. This ability can help a vendor to track visitors and viewed goods that can visualize the way visitors use their E-Commerce superstore and categorize them so the seller can respond to their particular needs.

Analyzing traffic source impact on returning visitors ratio in information provider website

Web site performance, especially returning visitor is an important metric for an information provider web site. Since high returning visitor is a good indication of a web site’s visitor loyalty, it is important to find a way to improve this metric. This research investigated if there is any difference on returning visitor metric among three web traffic sources namely direct, referral and search. Monthly returning visitor and total visitor from each source is retrieved from Google Analytics tools and then calculated to measure returning visitor ratio. The period of data observation is from July 2012 to June 2015 resulting in a total of 108 samples. These data then analysed using One-Way Analysis of Variance (ANOVA) to address our research question. The results showed that different traffic source has significantly different returning visitor ratio especially between referral traffic source and the other two traffic sources. On the other hand, this research did not find any significant difference between returning visitor ratio from direct and search traffic sources. The owner of the web site can focus to multiply referral links from other relevant sites.

Method for effective usage of Google Analytics tools

Modern Google Analytics tools have been investigated against effective attraction channels for users and bottlenecks detection. Conducted investigation allowed to suggest modern method for effective usage of Google Analytics tools. The method is based on main traffic indicators analysis, as well as deep analysis of goals and their consecutive tweaking. Method allows to increase website conversion and might be useful for SEO and Web analytics specialists

The first three years of the Journal of Global Health: Assessing the impact.

The Journal of Global Health (JoGH) is three years old. To assess its impact, we analysed online access to JoGH's articles using PubMed Central and Google Analytics tools. Moreover, we tracked citations that JoGH received in 2013 using ISI Web of KnowledgeSM and Google Scholar® tools. The 66 items (articles, viewpoints and editorials) published between June 2011 and December 2013 were accessed more than 50 000 times during 2013, from more than 160 countries of the world. Seven among the 13 most accessed papers were focused on global, regional and national epidemiological estimates of important infectious diseases. JoGH articles published in 2011 and 2012 received 77 citations in Journal Citation Reports® (JCR)–indexed journals in 2013 to 24 original research articles, setting our first, unofficial impact factor at 3.208. In addition, JoGH received 11 citations during 2013 to its 12 original research papers published during 2013, resulting in an immediacy index of 0.917. The number of external, non–commissioned submissions that we consider to be of high quality is continuously increasing, leading to current JoGH's rejection rate of about 80%. The current citation analysis raises favourable expectations for the JoGH's overall impact on the global health community in future years.

The analysis of the influence of selected factors on website traffic

Web traffic analysis and a correct interpretation of the results are essential to optimize the site and effective online communication, which is today for some organizations even more important than offline communication. The aim of this paper is to analyze the influence of a time period and banner adverts on Web traffic of school newspaper monitored by using Google Analytics tool. The methodological basis is the use of statistical system, namely the correlation coefficient and ANOVA. The research results confirm the importance of planning, managing and adapting the content of online communication to increase web traffic.

Beyond Description: Converting Web Site Usage Statistics into Concrete Site Improvement Ideas

Web site usage statistics are a widely used tool for Web site development, but libraries are still learning how to use them successfully. This case study summarizes how Morris Library at Southern Illinois University Carbondale implemented Google Analytics on its Web site and used the reports to inform a site redesign. As the main campus library at a research university with about 20,000 undergraduate and graduate students, the library included resources from multiple library departments on a single site. In planning the redesign, Morris Library's Virtual Library Group combined usage reports with information from other sources, such as usability tests and user comments. The Virtual Library Group faced barriers to interpreting and applying the usage statistics in the site redesign, including some that were specific to the library's implementation of the Google Analytics tool and some limitations inherent with Web usage statistics in general. Some key barriers in applying the usage statistics to a redesign included sifting through data that did not have implications for the site redesign, interpreting the implications of usage numbers for the site redesign, and balancing competing interests within the library. Nevertheless, the usage statistics enabled the Virtual Library Group to make better decisions by providing a source of factual information about the site's use rather than relying on staff members’ opinions and conjectures.