Dissertations / Theses: 'Google Analytics'

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Weida, Petr. "Využití Google Analytics v eshopu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85117.

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The main aim of this work is describing and explaining the possibilities of web analytics as a tool for effective evaluation of the web and campaigns performance. The benefit appreciate everybody, who makes decision on further web development and its marketing based on measured data. The work is divided into three main parts. The first describes how set up Google Analytics for measuring the web, the second part shows how read and interpret the measured data. In the third practical part are both applied for analyzing prohifi.cz shop.

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Zahradník, Jan. "Využití Google Analytics v eshopu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162548.

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The present thesis focuses on a specific e-shop operating mainly within the Czech market and the ways it uses one of the most significant tools of web analysis -- Google Analytics. The aim of the thesis is an analysis of the key areas, i.e. visitor analysis, visitor sourcing analysis and content analysis. The problematic areas are based on these as well as recommendations and suggestions that should help, once these have been applied, improve the service quality leading to increased revenue and better competitiveness within the market.

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Jansa, Marek. "Využití Google Analytics v e-shopu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124668.

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This thesis is focused on detailed description of the Web analytics tool Google Analytics and its use in improving attendance and competitiveness of Dobra vína company's e-shop. The aim is to propose measures that will increase sales of offered products. The measures were designed combining the analysis of web content, technical analysis of the web and the data obtained using Google Analytics. The thesis provides updated information on setting up Google Analytics: important changes that had taken place recently among which the transition to asynchronous syntax. These haven't been yet summarized in any other similar work. It also brings its own perspective on the use of information from Google Analytics to improve the performance of Internet business. The thesis presents the web analytics and the tool Google Analytics in general; it describes the setup and customization of the tracking code and finally it provides a short guide on how to read the visualized data. In the practical part it explores the web content of the Dobra vína's site and its technical aspects, after this it presents the specific settings of Google Analytics for the site and the final chapters analyze the data obtained from Google Analytics and propose adequate measures to take.

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Dibrova, Alisa. "Web analytics. Website analysis with Google Analytics and Yandex Metrics." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22200.

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The scope of my research is web analytics. This paper describes the process of usability analysis of the website belonging to a company Sharden Hus situated in Stockholm. From the many existing tools of web analysis I chose two the most popular ones, Google Analytics and Yandex Metrics. In similar projects that I have read, the website redesign was based on both quantitative, statistical, and qualitative (user interviews, user tests) data. In contrast to the previously carried out projects on websites improvement with the help of similar tools, I decided to base the changes on the website only on quantitative data obtained with Google and Yandex counters. This was done in order to determine whether and how Google and Yandex tools can improve the website performance. And to see if web analytics counters may provide with sufficient statistical data enough for it's correct interpretation by a web analytics designer which would lead to the improvement of the web site performance.The results of my study showed that Google and Yandex counters isolated from qualitative methods can improve the website performance. In particular, the number of visits from the territory of Sweden was increased to almost double; the overall bounce rate reduced; the number of visits to the page containing order forms significantly increased.

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Dage, Sandra. "Att hitta användbarhetsproblem med Google Analytics - är det möjligt?" Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306925.

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The scope of research is usability problems and web analytics. This thesis examines whether or nor Google Analytics can point out the usability problems a website has, and describes the process of usability analysis of the two websites belonging to the organisation ArtDatabanken. The research is divided into two parts. The first part describes the collection of the usability problems ArtDatabanken had and what usability problems that were identified. The second part describes the Google Analytics analysis of the usability problems that were possible to investigate, how the study was designed and the result from that investigation. Finally, some recommendations are given on how Google Analytics should be improved to more effectively find potential usability problems. The results of the research show that Google Analytics can find some of the identified usability problems, but the automatic implementation and its standard reports is not effective enough. By tracking all of the events at the site, a better understanding of what users are doing during their visits could be obtained. This together with some changes of the built-in reports would increase the possibilities to find potential usability problems by using Google Analytics.

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Hejl, Radomír. "Analytika obsahových webů." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124785.

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The thesis deals with web analytics of content based websites. Its primary aim is to design metrics of a web analysis and range of the metrics. This allows a proprietor of the content based websites to evaluate the state of the web and also its changes. The following is a practical example of handling website metrics and how to evaluate a web redesign with the help of these metrics. The first and second chapter lists literature of web analysis and specifies a purpose of the thesis and its target group. In the paragraphs that follow, I explain the theoretical starting-points and major concepts in further detail. In the third chapter I describe the main targets of content based websites because con-sequently defined metrics should reflect these targets and aim for them. Then I underline some specific problems of content based websites analysis. The fifth chapter forms the crux of this work. First, I define right metrics and then present the very design of metrics for analysis of content based websites. The proposed metrics describe interpretation of values, possibilities of segmentation and also relation to other metrics. In the fifth chapter there is an example of some metrics applied to real data of two content based websites with a description of how to work with these metrics.

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Dinis, Maria Gorete Ferreira. "Indicadores do comportamento online e tendências da procura turística: as ferramentas Google Trends e Google Analytics." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16370.

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Doutoramento emTurismo
O presente trabalho de investigação tem como objetivo mostrar a capacidade das ferramentas Google Trends e Google Analytics para fornecerem indicadores, quase em tempo real, sobre os interesses e comportamentos online coletivos, com base nas pesquisas realizadas no Google e nos movimentos dos visitantes nos sites, respetivamente. Para tal, iniciou-se a investigação com uma revisão da literatura e análise de dados secundários que permitiu: conhecer as políticas, indicadores e estatísticas oficiais do turismo, a utilização da Internet e as potencialidades da web analytics, principalmente do Google Trends e Google Analytics para os agentes do turismo, bem como as determinantes, modelos e tendências da procura turística. O estudo empírico centrou-se na análise dos dados primários obtidos com as ferramentas e na relação dos dados online com os dados oficiais publicados sobre o turismo, focando-se a análise no território nacional e regiões. Os resultados obtidos mostram que o padrão de comportamento e interesses dos indivíduos que pesquisam no Google a partir do território nacional sobre os subsetores do turismo, recursos e destinos turísticos é muito similar ao verificado na realidade, e do cruzamento dos dados das pesquisas online sobre alojamento com as dormidas nos estabelecimentos hoteleiros em Portugal constatou-se que existe uma forte correlação entre os dados, com um desfasamento temporal que varia com o local de acesso à Internet do individuo. Além disso, demonstrou-se a capacidade dos dados do Google Trends como indicador avançado da procura turística em Portugal, e desenvolveram-se novos indicadores para medir o interesse online interno e externo pelo turismo em Portugal e suas regiões. Adicionalmente, foram analisados os dados obtidos através da ferramenta Google Analytics referentes ao site do turismo do Alentejo (www.visitalentejo.pt), demonstrando-se que estes fornecem informação útil para compreender o comportamento e perfil do visitante ao nível de um destino turístico regional. A tese contribuiu para mostrar o potencial da Internet como fonte de dados, e a possibilidade de utilização desses dados para obter conhecimento na área do turismo e prever com melhor precisão a procura turística de Portugal, antes da publicação oficial da informação estatística sobre o setor.
This PhD thesis aims to show the Google Trends and Google Analytics tools capabilities in providing near real time indicators for the collective online behaviour and interests, based on searches performed on the Google search engine and the movements of visitors on websites, respectively. To this end, we began the research with a literature survey and secondary data analysis, which allowed understanding the policies, the indicators, the official tourism statistics, and the utilisation in general of the Internet. Moreover, the potential of web analytics tools, namely Google Trends and Google Analytics for tourism agents, as well as the determinants, models and trends in tourism demand, were analysed. The empirical study was carried out based on the analysis of primary data obtained with the web analytics tools and the relationship of online data with official published tourism data, focusing the analysis on the Portuguese national and regional territory. The obtained results show that the pattern of interests and behaviour of individuals searching on Google from the national territory for information about the sub sectors of tourism, resources and tourism destinations is very similar to that seen in reality. By crossing the data from online searches on accommodations with overnight stays in hotels in Portugal it was found that there is a strong correlation between the data, with a time lag that varies with the individual Internet access location. Furthermore, it was demonstrated the capability of Google Trends data as a leading indicator of tourism demand in Portugal, and developed new indicators to measure internal and external online interest concerning the Portuguese tourism demand. Additionally, data obtained from Google Analytics tool related to the Alentejo site (www.visitalentejo.pt) was analysed, demonstrating that this provides useful information for understanding the behaviour and visitor profile at the level of a regional tourist destination. The thesis contributed to demonstrate the potential of the Internet as a source of data, and the possibility of using this data to gain knowledge in the field of tourism, before the official publication of statistical information about this industry, and to predict with greater accuracy the tourism demand in Portugal.

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Carlsson, Ståbi Jenny. "Data driven marketing : How to gain relevant insights through Google Analytics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254988.

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In this report, problems regarding the retrieving, measuring, and analysis of data when analysing marketing effects in the web analytics tool Google Analytics will be discussed. A correct setup, configuration, maintenance, campaign tracking and the understanding of the data in Google Analytics is essential to be able to achieve relevant insights. This is important since many Swedish marketing departments experience issues related to their setup of Google Analytics as well as the ongoing configuration and maintenance. A literature study has been conducted to gather information, focusing on collecting theories from researchers and experts in the field of web analytics and marketing analytics. Google Analytics data and reports from several Swedish companies have been studied to gain a deep understanding of how the tool is used for the measuring and analysis of the marketing effects. Interviews with marketing department and media bureau/agency employees have been conducted and analysed in a qualitative manner. A thematic analysis of the interviews has been done, resulting in 8 themes which are presented in the result section. The result has been analysed and discussed in relation to the theory. The interviews showed that there is a difference in knowledge and experience between the senior and junior analysts, and that there is a significant learning curve when working in Google Analytics. The junior analysts trusted the data, and did not know about campaign tracking and filters, in contrast to the senior analysts, who did not trust the data as a control mechanism, and did work with campaign tracking and filters. Furthermore, the senior analysts had more understanding of the data models in Google Analytics, such as attribution models, which are known to show different stories based on which attribution model is being used. The conclusions are four capabilities that address a need for more and better control over the setup and over the data, a wider use of campaign tracking, and wider knowledge of the data and the data models in Google Analytics, and of the business the organisation is conducting, to be able to gain relevant insights.
I den här rapporten diskuteras problemen med att insamla, mäta och analysera data vid analys av marknadseffekter i webbanalys-verktyget Google Analytics. Korrekt installation, konfiguration, underhåll, kampanjspårning och förståelsen av datan i Google Analytics är viktigt för att kunna uppnå relevanta insikter. Detta är viktigt eftersom att många svenska marknadsföringsavdelningar upplever problem i samband med installationen av Google Analytics samt den pågående konfigurationen och underhållet av data som ska mätas och analyseras. En litteraturstudie har gjorts för att samla in information, med inriktning på att samla teori från forskare och experter inom webbanalys och marknadsanalys. Google Analytics-data och rapporter från flera svenska företag har studerats för att få en djupare förståelse för hur verktyget används för att mäta och analysera marknadsföringseffekter. Intervjuer med medarbetare på marknadsavdelningar och mediebyråer har genomförts och analyserats på ett kvalitativt sätt. En tematisk analys av intervjuerna har gjorts, vilket resulterat i 8 teman som presenteras i resultatavsnittet. Resultatet har analyserats och diskuterats i förhållande till teorin. Intervjuerna visade att det finns skillnad i kunskap och erfarenhet mellan seniora och juniora analytiker, och att det finns en signifikant inlärningskurva när en arbetar i Google Analytics. De juniora analytikerna litade på datan och tillämpade inte kampanjspårning och filter i motsats till de seniora analytikerna som inte litade på datan som en kontrollmekanism, samt tillämpade kampanjspårning och filter. Vidare hade de seniora analytikerna större förståelse för datamodellerna i Google Analytics, till exempel attributionsmodeller, som är kända för att indikera olika saker baserat på vilken modell som används. Slutsatserna är fyra förmågor som relaterar till ett behov av mer och bättre kontroll över datan och installationen av Google Analytics, en bredare användning av kampajspårning, bredare kunskaper om både datan och de olika datamodellerna i Google Analytics, och verksamheten som organisationen utför för att kunna tillskansa sig relevanta insikter som är lämpliga att grunda beslut utifrån.

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Fila, Ondřej. "Sledování vývoje webu po zavedení jazykové mutace /pracovní název/." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201690.

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The first part of this thesis, Monitoring website progress after the implementation of a language mutation, focuses on the theoretical foundations of web analytics (history of web analytics, data collection methods, basic metrics) and Internet marketing (importance of Internet marketing and its distribution, Pay Per Click advertising). An analytical tool Google Analytics is also presented in this part. The analytical and application part contains a presentation of Segway-Point company and its website. On this website the progress (sessions, bounce rate, users flow, conversions, etc.) before and after the implementation of a language mutation was monitored and the ads settings using Google AdWords was set up accordingly. The result is the evaluation of hypotheses and a list of advices and recommendations for Segway-Point company.

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Paiola, Francesco. "Tracciamento degli accessi a documenti di Google Drive." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20527/.

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Al giorno d’oggi, durante conferenze o seminari, è sempre più importante ricevere dei feedback da parte degli utenti presenti riguardo ai contenuti proposti nelle presentazioni. L’acquisizione e la successiva analisi di questi dati può essere utile infatti per migliorare e arricchire tali contenuti. Numerose presentazioni sono sempre più spesso realizzate e memorizzate utilizzando dei servizi di cloud computing, che presentano il vantaggio di consentire ad altri utenti di scaricarle ed eventualmente condividerle. Il seguente elaborato di tesi tratterà la creazione di uno script in grado di tracciare i dati degli utenti che accedono ad un documento (in particolar modo ad una presentazione) su Google Drive condivisa tramite URL. I dati di accesso degli utenti che si desiderano tracciare non costituiscono di per sé un feedback da parte degli stessi, tuttavia, se opportunamente analizzati, possono ricondurre alla rilevazione di un indice di gradimento. Per il raggiungimento del suddetto obiettivo sono stati effettuati più tentativi tramite l’utilizzo di metodologie e tecnologie diverse. Alcuni di essi hanno portato a delle soluzioni al problema in esame, ma solo una è stata reputata accettabile, poiché queste soluzioni chiedevano dei compromessi che, in certi casi, sono risultati in contrasto con i requisiti funzionali minimi definiti in partenza. Si è giunti infine ad una soluzione ritenuta accettabile, la quale, seppur non priva di compromessi, non è risultata in contrasto con tali requisiti.

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Bokaová, Katarína. "On-line marketing so zameraním na kampane prostredníctvom Google." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162306.

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Internet advertising is becoming more and more important. Budgets of media planners are moving from TV and print to internet. Due to the young age of the Internet and especially online marketing, we can assume that this trend will grow stronger. This work addresses one of the biggest players on the Internet - Google and especially its tool for creating PPC ads. The first part concerns the most important aspects of the current internet marketing sphere and the second part is devoted to a specific topic of creating campaigns through Google Adwords and their subsequent success analysis by using already established metrics.

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Afonso, Nuno Fernando Vaz. "Web analytics : ecommerce case study in a B2B environment." Master's thesis, FEUC, 2014. http://hdl.handle.net/10316/28057.

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Dissertação de mestrado em Marketing, apresentada à Faculdade de Economia da Universidade de Coimbra, sob a orientação de Paulo Melo.
The web has become one of most powerful tools of communication in the world today, representing one of the most important environments for the promotion of organizations and the realization of transactions worldwide. Because of that, measuring the results and the return on the investment made on digital materials is increasingly important for professionals, whose job is to monitor knowledge and performance. In this context, web analytics applications are a valuable tool for continuously assess these indicators performance, focusing on the organizations’ website as the core component for most digital strategies. The collection and analysis of web data ultimately aims at content, design and business optimization, based on educated premises supported on figures and facts, as opposed to decision processes based solely on personal inclination from decision makers. In order to explore the application of these techniques in a business environment, we resort to Google Analytics for the analysis of a case study of a website from an ecommerce IT retailer based in Belgium, working in a B2B environment. This research extensively covers the main indicators available, individually assessing each report’s contribution for the comprehension of business evolution. In addition, we start by defining the ambit of application, the technologies used, as well as the main concepts associated with this kind of tools. Moreover, we also look into the integration of web data with other software applications, for an agile visualization and treatment of the data.

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Veselský, Štěpán. "Využití Facebooku a Google AdWords pro budování značky." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124699.

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This Diploma Thesis' main subject is Internet marketing. Its main objective is suggesting and realizing an online marketing campaign focused on using Facebook and Google AdWords in order to building brand awareness of a small business. This effort is followed by an analysis of its results. The contribution should be apparent to all the marketers of other small businesses, who find themselves in similar situation and try to solve it by using modern online marketing tools and channels. The thesis is divided into two main sections. The first covers necessary theoretical bases of online marketing, the next one puts the theoretical knowledge into practice of a real small company, Saloon Exclusive. The ending summarizes the outcomes for the company and suggests some next steps.

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Jindra, Jan. "Webová analytika v marketingovém výzkumu akademické instituce." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72817.

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This thesis deals with the state of the web analytics in the marketing research of an academic institution. The theoretical part summarises the state of the (online) marketing in marketing activities of the academic institution and substantiates the importance of the analysis of the attendance of academic institution's web pages. It also submits basic conclusions for choosing the suitable analytic tool. In the applicative part the thesis analyses the traffic of web pages of Faculty of Management in 2010 and suggests actions leading to the higher satisfaction of web pages visitors and fulfilment of web conversion goals.

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Altskog, Tomas. "Customized Analytics Software : Investigating efficient development of an application." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-27967.

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Google Analytics is the most widely used web traffic analytics program in the world with a wide array of functionality which serve several different purposes for its users. However the cost of training employees in the usage of Google Analytics can be expensive and time consuming due to the generality of the software. The purpose of this thesis is to explore an alternative solution to hav- ing employees learn the default Google Analytics interface and thus possibly re- ducing training expenses. A prototype written in the Java programming lan- guage is developed which implements the MVC and facade software patterns for the purpose of making the development process more efficient. It contains a feature for retrieving custom reports from Google Analytics using Google’s Core Reporting API in addition to two web pages are integrated into the proto- type using the Google Embed API. In the result the prototype is used along with the software estimation method COCOMO to make an estimation of the amount of effort required to develop a similar program. This is done by counting the prototype’s source lines of code manually, following the guidelines given by the COCOMO manual, and then implementing the result in the COCOMO estima- tion formula. The count of lines of code for the entire prototype is 567 and the count which considers reused code is 466. The value retrieved from the formula is 1.61±0.14 person months for the estimation of the entire program and 1.31± 0.16 for a program with reused code. The conclusion of the thesis is that the res- ult from the estimation has several weaknesses and further research is necessary in order to improve the accuracy of the result.

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Dalci, Mustafa. "Using Google Analytics, Card Sorting And Search Statistics For Getting Insights About Metu Website." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613077/index.pdf.

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websites are one of the most popular and quickest way for communicating with users and providing information. Measuring the effectiveness of website, availability of information on website and information architecture on users

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Roth, Benjamin. "Utveckling och utvärdering av mikroservicetjänster för att stärka web cookies i webbanalysverktyg." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279541.

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Data klassificeras numera som världens mest värdefulla resurs. Den växande och storskaliga användningen av internet är en bidragande faktor till de enorma mängder data som genereras och florerar i våra digitala miljöer. Genom att analysera data som samlas in från internet, kan insikter och förståelse för internetanvändares beteendemönster utvinnas. Därför har datainsamling och webbanalys på senare år blivit en nyckelaktivitet för många internetaktörer. Med ett effektivt arbete kring dessa områden kan internetaktörer skapa sig fördelar gentemot sina konkurrenter, och därmed skapa sig marknadsmässiga försprång. I takt med att data blir allt mer eftertraktat ökar också kraven på att internetanvändares integritet ska prioriteras så att datainsamlingen inte bryter mot några etiska principer. Detta ämne har på senare år blivit allt mer aktuellt efter att det visat sig att internetanvändares integritet ofta åsidosätts i strävan efter att samla in data. Många webbläsare har därför börjat arbeta aktivt för att skydda sina användare i större utsträckning, bland annat genom att hantera kakor allt mer restriktivt. Detta har orsakatproblem för webbanalysverktyg, då de använder kakor för att kunna identifiera, binda samman och samla in data kring en besökares beteenden och interaktioner på en webbplats. Syftet med denna studie är att utveckla, utvärdera och jämföra metoder som stärkerde kakor som används av webbanalysverktyg. Med hjälp av de metoder som utvecklas är studiens mål att höja kvalitén på den data som samlas in av verktygen. Studien har genomförts med en kvalitativ forskningsmetod i fem olika faser. För att utvärdera de metoder som utvecklas i studien har en utvärderingsmodell introducerats. Via utvärderingsmodellen har underlag till studiens resultat kunnat genereras. Resultatet visar att det med hjälp av mikroservicetjänster, i form av en proxyserver, är möjligt att åstadkomma en markant förbättring av kvalitén i den data som samlas in av webbanalysverktyg.
Data is now classified as the world’s most valuable resource. The growing and large-scale usage of internet is a contributing factor to the huge amount of data that are generated and flourish in our digital environments. By analyzing the data that can be collected from internet, insights and understanding of internet users behavioral patterns can be extracted. In recent years, web tracking and web analytics has therefore become a key activity for many players on the internet. With an effective work in these areas, internet players can create an advantage on thier competitors. As data becomes more and more sought after, the demands on the privacy aspects for internet users are also increasing. In recent years, this topic has become even more relevant, after it has been found that the privacy of internet users is often violated in the effort of data collection. Many web browsers has therefore actively begun to protect their users, for instance by handling cookies more restrictively. This has casued problems for web analytics tools, as they use cookies to identify, bind and collect data about users interactions and behavior patterns on a website. The purpose of this study is to develop, evaluate and compare methods that strengthen cookies used by web analytic tools. Using the methods developed in the study, the goal of the study is to improve the quality of the data that are collected by the tools. The study was conducted using a qualitative research method in five different phases. In order to evaluate the methods developed in the study, an evaluation model has been introduced. Through the evaluation model, data to the study’s result have been generated. The results shows that with help of microservices, in the form of aproxy server, it is possible to achieve a significant improvement in the quality of the data collected by web analytics tools.

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Henčelová, Katarína. "Analýza dát z webovej prezentácie v softwarovej firme." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201693.

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This thesis looks into problematic of data originating from visits of a company websites. It is partly devoted to web analytics and Business Intelligence. The aim was to create a tool for transforming and saving these data, their analysis and reporting. The product of this thesis was created for a management of a company specifically by their requests. It was made to support managerial decisions in creating a successful web strategy.

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Dyrhage, Max. "Incorporating a tag management system in an agile web development process to become more data-driven." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240395.

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Web analytics are used to track and examine user behavior on websites and web applications. In order to take data driven decisions companies and organizations working with the web look to web analytics to understand their users. A piece of Javascript code that collect user behavior and information is often referred to as a tag, which can be managed through a tag management system. Tag management systems can provide structure to how a website’s users’ behaviors are being measured. This study examines how a tag management system can enable web analytics of user data to be incorporated in an agile web development process at the Swedish company Dailybitsof. With a literature study, case study and interviews with professionals on the subject, a set of recommendations to enable web analytics is presented. This study suggests that a tag management system can enable web analytics to be incorporated into an agile web development process if it is implemented in combination with changes to the agile process.
Webbanalys används för att spåra och undersöka användarbeteende på hemsidor och webbapplikationer. För att ta datadrivna beslut, använder sig företag och organisationer av webbanalys för att förstå sina användare. Några rader Javascript-kod kan användas för att samla upp användarbeteende och kallas ibland för ett tag. Dessa tags kan behandlas i ett så kallad tag management-system. Tag management-system kan ge struktur över hur användarbeteendet på en hemsida spåras och analyseras. Den har uppsatsen undersöker hur ett tag management-system kan möjliggöra att data från webbanalys blir använt i en agil webbutvecklingsprocess hos det svenska företaget Dailybitsof. Med en litteraturstudie, fallstudie och intervjuer med professionella inom ämnet presenteras rekommendationer för att att möjliggöra webbanalys. Uppsatsen föreslår att ett tag management-system kan möjliggöra användandet av webbanalys i en agil webbutvecklingsprocess om det implementeras i kombination med ändringar av den agila processen.

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Paroulek, Luboš. "Online marketingová strategie společnosti SEVT, a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85271.

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This dissertation deals with issues of online marketing strategy of the company SEVT a.s. The mening part dealts with issues of internet marketing in general including tools of internet marketing. In the next part situation analysis of the company itself is performed. In this dissertation company's websites are closely examined, including visitou analysis, konversion analysis and so on. The next part is dedicated to the SEO and SEM problematics. Company's websites are rated based on their SEO principles and effectiveness of the websites is evaluated. Tools of internet marketing used in the company are analysed in the part SEM. Aim of this dissertation is to evaluate current online marketing strategy and design a new strategy, that will be more effective in the usage of internet marketing tools and in the mening of web presentation of the company itself. This new strategy should lead to the increase in earnings from the online marketing actitivities of the company.

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Pettersson, Johan, and Robin Veteläinen. "A comparison of solutions to measure Quality of Service for video streams." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188514.

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There are more and more people watching video streams over the Internet, and this has led to an increase in companies that compete for viewers. To improve the users experience, these companies can measure how their services are performing. The aim of this thesis was to recommend a way to measure the quality of service for a real time video streaming service. Three methods were presented; to buy the information from a content delivery network, extend existing analytics software or build a custom solution using packet sniffing. It was decided to extend existing analytics software. An evaluation was made on which software to extend. Four solutions were compared: Google Analytics, Mixpanel, Ooyala IQ and Piwik. The comparison was made using the analytic hierarchy process, comparing each alternative in their performance in criteria such as API maturity, flexibility, visualization and support. The recommended software to extend when building a real time video streaming service is Ooyala IQ which excel at flexibility and is easy to implement into existing solutions. It also had great capacity, offering no limit on how many events it can track per month, and finally it offers great dedicated support via telephone or email.
Det finns fler och fler personer som tittar på video strömmar på Internet, detta har lett till att nya företag har startats som konkurerar om tittare. För att förbättra kundupplevelsen kan man mäta hur tjänsten presterar. Målet med examensarbetet var att rekommendera hur man kan mäta tjänstekvalite för en realtidsvideoströmningstjänst. Tre olika lösningsförslag presenterades; att köpa informationen från en content delivery network, att bygga vidare på tillgängliga analytisk mjukvara eller att bygga ett eget paketsniffarprogram. Det bestämdes att bygga vidare på tillgänglig analytisk mjukvara. Fyra olika mjukvara jämfördes: Google Analytics, Mixpanel, Ooyala IQ och Piwik. Jämförelsen gjordes med hjälp av analytical hierarchy process, de olika alternativen jämfördes med avseende på: hur moget API:et var, flexibilitet, visualiseringen av data och support. Rekommendationen är att använda sig av Ooyala IQ som utmärker sig med avseende på flexibilitet, det var enkelt att använda deras API i sin egen lösning, det fanns ingen gräns på hur många händelser man kunde lagra per månad, och slutligen så fanns det dedikerad supportpersonal att nå via telefon eller email.

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Sadílek, Petr. "Efektivní marketing s využitím nástrojů Googlu." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-15900.

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Quick growth of internet users worldwide as well as significant technological improvements has had an extensive impact on a traditional marketing communication. First part of the thesis focuses on the basic framework that would leverage the internet marketing implementation. In its second part, the Google advertising products (AdWords, Maps, YouTube) and tools(for planning, optimization and implementation) are analyzed and their role in the internet marketing process is explained and demonstrated.

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Koza, Jacob. "Active Analytics: Suggesting Navigational Links to Users Based on Temporal Analytics Data." UNF Digital Commons, 2019. https://digitalcommons.unf.edu/etd/892.

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Front-end developers are tasked with keeping websites up-to-date while optimizing user experiences and interactions. Tools and systems have been developed to give these individuals granular analytic insight into who, with what, and how users are interacting with their sites. These systems maintain a historical record of user interactions that can be leveraged for design decisions. Developing a framework to aggregate those historical usage records and using it to anticipate user interactions on a webpage could automate the task of optimizing web pages. In this research a system called Active Analytics was created that takes Google Analytics historical usage data and provides a dynamic front-end system for automatically updating web page navigational elements. The previous year’s data is extracted from Google Analytics and transformed into a summarization of top navigation steps. Once stored, a responsive front-end system selects from this data a timespan of three weeks from the previous year: current, previous and next. The most frequently reached pages, or their parent pages, will have their navigational UI elements highlighted on a top-level or landing page to attempt to reduce the effort to reach those pages. The Active Analytics framework was evaluated by eliciting volunteers by randomly assigning two versions of a site, one with the framework, one without. It was found that users of the framework-enabled site were able to navigate a site more easily than the original.

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Carle, William R. II. "Active Analytics: Adapting Web Pages Automatically Based on Analytics Data." UNF Digital Commons, 2016. http://digitalcommons.unf.edu/etd/629.

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Web designers are expected to perform the difficult task of adapting a site’s design to fit changing usage trends. Web analytics tools give designers a window into website usage patterns, but they must be analyzed and applied to a website's user interface design manually. A framework for marrying live analytics data with user interface design could allow for interfaces that adapt dynamically to usage patterns, with little or no action from the designers. The goal of this research is to create a framework that utilizes web analytics data to automatically update and enhance web user interfaces. In this research, we present a solution for extracting analytics data via web services from Google Analytics and transforming them into reporting data that will inform user interface improvements. Once data are extracted and summarized, we expose the summarized reports via our own web services in a form that can be used by our client side User Interface (UI) framework. This client side framework will dynamically update the content and navigation on the page to reflect the data mined from the web usage reports. The resulting system will react to changing usage patterns of a website and update the user interface accordingly. We evaluated our framework by assigning navigation tasks to users on the UNF website and measuring the time it took them to complete those tasks, one group with our framework enabled, and one group using the original website. We found that the group that used the modified version of the site with our framework enabled was able to navigate the site more quickly and effectively.

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Pettersson, Linda. "Sökmotorsoptimering – Från nyckelord till relevant innehåll : Fem företags SEO-praktik i förändring." Thesis, University West, Division of Media Production, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-2557.

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I all teori om sökmotorsoptimering finns det många olika tankar om hur man ska sökmotorsoptimera. De flesta berättar mest om den tekniska biten och har endast som en kort punkt förklarat att innehållet på en webbplats också är viktigt. Syftet med uppsatsen är att undersöka webbföretags förhållningssätt till både hur de arbetar och resonerar kring sökmotorsoptimering och webbstatistik, men även gå djupare in på hur förhållandet mellan kund och företag påverkar vart marknaden är på väg. Genom att utföra kvalitativa intervjuer med webbföretag där främst marknaden för sökmotorsoptimering, sponsrade länkar och webbstatistik diskuterats har ett resultat utformats.

Baserat på de senaste artiklarna, respondenternas svar och mina egna personliga reflektioner av situationen, visar det att det blivit en förskjutning i vad definitionen av sökmotorsoptimering är. Den tekniska biten är kvar men inte alls lika viktig längre då sökmotorerna hela tiden ändrar sina algoritmer och blir smartare, utan fokus läggs istället mer på innehållet. Ett rikt innehåll med bra skriven text samt ett intressant video- eller bildmaterial är mycket viktigare än att ändra på småsaker i strukturen av webbplatsen. Sökmarknaden idag ser annorlunda ut mot bara några år sedan. Det innebär att sökmotorsoptimering inte enbart handlar om att förbättra den egna hemsidan, utan även innefattar all marknadsföring på webben.

In all theory about Search Engine Optimization there are lots of different ideas on how to optimize search engines. Much of the theory concerns the technical aspects and only offers a short explanation on the importance of the actual content of the website. In this essay I will examine how web companies think and act around search engine optimization and web statistics, but also go deeper into how the relationship between customer and company affects where the market is heading. By doing qualitative interviews with web companies where the subject search engine optimization, paid ads and web statistics were discussed, a result has been formed.

Based on the latest articles, the answers from the respondents and my own personal reflections of the situation, there are clear signs that the definition of Search Engine Optimization has changed. The technical aspect is still there, but with less importance since the search engines keeps changing the algorithms in order to become smarter. Instead the focus is on the content. Rich content, good written text, interesting videos and images has a larger impact than changing the little things in the structure of a website.

The search market looks different today than it did a few years ago. The term Search Engine Optimization has changed its meaning into something more than just improving your own homepage. Now it also includes all the marketing your company does outside of the web.

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Pavel, Jan. "Customer Intelligence v prostředí elektronického obchodu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-114082.

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Studies are focused on methods for better recognition of internet shop customers. General this method is called Customer Intelligence. It contains means of increase of customers valuation for a society. It is based on exploitation of accumulated data about customer which helps to get necessary information. A main target of Studies is to create system of Customer Intelligence addapted to society needs. For internet seller it is necessary to include a web analytics into the system too. In a theoretical part there is an explanation of attitude and significance of Customer Intelligence in terms of informational company system. Furthermore there is taken a customer value. It is proceeded from basic means of customer valuation assesment via customers lifelong value for society to means of customer scoring A practical part of Studies is devoted to performed analyses of customer data which are the main details for execution of Customer Intelligence. There is explained how this obtained information will be used. In a conclusion there is descirbed a technical realization and problems which had to be necessarily solved during the implementation.

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Кодочигов, Дмитро Олексійович. "Сучасні комп'ютерні засоби реалізації А/В-тестування." Thesis, НТУ "ХПІ", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36100.

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Táborská, Dagmar. "Internetový marketing." Master's thesis, Česká zemědělská univerzita v Praze, 2017. http://www.nusl.cz/ntk/nusl-257568.

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The subject of my diploma thesis is internet marketing. Due to its complexity, the thesis focus mainly on online advertisement, primarily to PPC campaigns. The thesis provides summary of PPC advertisement itself, their rules and also the whole structure of campaigns, keywords etc. The same concept is used for social network Facebook and its advertisement. The target is to point out the importance of both approaches and also to show the main differences between them. These findings are used for practical part, where the real PPC and Facebook campaigns are put into practice for selected institution. The target of this work is to use the findings from literatury research in the real case scenario. Based on the campaigns result, find out what are the positives and negatives of such campaigns and to show how important the internet marketing is.

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Talevi, Iacopo. "Big Data Analytics and Application Deployment on Cloud Infrastructure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14408/.

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This dissertation describes a project began in October 2016. It was born from the collaboration between Mr.Alessandro Bandini and me, and has been developed under the supervision of professor Gianluigi Zavattaro. The main objective was to study, and in particular to experiment with, the cloud computing in general and its potentiality in the data elaboration field. Cloud computing is a utility-oriented and Internet-centric way of delivering IT services on demand. The first chapter is a theoretical introduction on cloud computing, analyzing the main aspects, the keywords, and the technologies behind clouds, as well as the reasons for the success of this technology and its problems. After the introduction section, I will briefly describe the three main cloud platforms in the market. During this project we developed a simple Social Network. Consequently in the third chapter I will analyze the social network development, with the initial solution realized through Amazon Web Services and the steps we took to obtain the final version using Google Cloud Platform with its charateristics. To conclude, the last section is specific for the data elaboration and contains a initial theoretical part that describes MapReduce and Hadoop followed by a description of our analysis. We used Google App Engine to execute these elaborations on a large dataset. I will explain the basic idea, the code and the problems encountered.

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Wu, Li-Chi. "Approche textométrique de l’analyse d’opinion - l’exemple de la crise entre la Chine et Google (2010)." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCA086.

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À l’avènement du Web 2.0, le monde virtuel devient une communauté extrêmement complexe dans laquelle on procède plus ou moins librement à des échanges d’informations et d’avis les plus divers. L’outil de communication, en constante évolution, fait émerger la voix de l’opinion dans le monde virtuel tout en influençant le contenu et la nature mêmes des messages des utilisateurs d’Internet. L’appareil de censure du web chinois, connu sous le nom de Grande Muraille électronique, a souvent fait l’objet de sévères dénonciations. Partant de la controverse, qui a ébranlé le monde politique et commercial, nous avons étudié les comportements linguistiques des acteurs du web chinois et nous avons examiné en profondeur les diverses modalités d’usage de la langue. Sur un corpus établi à partir des sites des médias, des forums, des blogs provenant des différentes communautés sinophones, notre objectif est d’expérimenter l’approche textométrique pour aboutir à une typologie différentielle des opinions. En nous appuyant sur les ressources lexicales, nous proposons divers critères d’analyse comparative pour tenter de dégager les opinions des auteurs à partir des textes qu’ils ont produits. Nous nous intéressons en particulier aux variétés et à la diversité des formes langagières des internautes chinois dont les nouvelles manières d’écrire ne se conforment pas aux règles et aux normes de la langue standard de l’écriture éditoriale
With the arrival of the Web 2.0, the online world has become an extremely complex community, where information and opinions are more or less freely exchanged on all sides. The communication tools, constantly evolving, bring out public opinion in the online world and simultaneously influence both the content and the nature of Internet messages. Internet censorship in China, known as the Great Firewall, has often received harsh criticism. By the example of the controversy between Google and the Chinese government that shocked the political world and the market in 2010, we study the linguistic behaviour of participants on the Chinese Internet and examine the various forms of the use of language in depth. Based on a corpus established from media websites, forums, blogs in various Chinese-speaking communities, our goal is to apply the textometric approach in order to establish a differential typology of opinions. Building on the lexical resources, we offer various benchmarking criteria to try to extract authors' opinions from the texts that they have produced. We are particularly interested in the varieties and diversities of language forms of Chinese Internet users, where new ways of writing do not comply with the rules and norms of standard language as found in editorial writing

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De, Troia Alessandro. "Progettazione e realizzazione di un portale e di un sistema di analisi dei dati basato su Google Analytics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2010. http://amslaurea.unibo.it/1456/.

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Dvořáková, Ivana. "Návrh na optimalizáciu internetového predaja Triola a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199715.

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This diploma thesis demonstrates the importance of the internet sales in today's world, using an example of the real world company, Triola, which specializes in lingerie manufacturing. Objective of this thesis is behavioral analysis of the company's customers, followed by evaluation of this knowledge which results into recommendations on how to optimize internet sales and how to enhance the design and functionality to achieve this. Analysis and its evaluation are both based on the latest research in this field, which describes the customer's motivation for the internet shopping and the correlation between web design and impulsive shopping. Part of the analysis is also the comparison of trends in behavior of customers all across the world with customers from Czech Republic and with customers of Triola company, trying to identify trends that will likely affect the Triola company in the future. The thesis also comes up with important information about the customers of the Triola company and possible evolution of the internet sales and shows the different approaches for the Triola to take, in order to make internet shopping a pleasant experience for its customers and to raise the internet sales rates as a result.

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Balliu, Alkida. "Software per l'analisi di Big Data su più livelli e sua applicazione a tracce di Google." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6649/.

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Con l'avanzare della tecnologia, i Big Data hanno assunto un ruolo importante. In questo lavoro è stato implementato, in linguaggio Java, un software volto alla analisi dei Big Data mediante R e Hadoop/MapReduce. Il software è stato utilizzato per analizzare le tracce rilasciate da Google, riguardanti il funzionamento dei suoi data center.

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Demirel, Kutukcu Seher. "Using Google Analytics And Think-aloud Study For Improving The Information Architecture Of Metu Informatics Institute Website: A Case Study." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612584/index.pdf.

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Today, web sites are important communication channels that reach a wide group of people. Measuring the effectiveness of these web-sites has become a key issue for researchers as well as practitioners. However, there is no consensus on how to define web site effectiveness and which dimensions need to be used for the evaluation of these web sites. This problem is more noteworthy for information driven web sites like academic web sites. There is limited academic literature in this predominant application area. The existing studies measured the effectiveness of these academic web sites by taking into account their information architecture mostly using think-aloud methodology. However, there is limited study on web analytics tools which are capable of providing valuable information regarding the web site users such as their navigation behaviours and browser details. Although web analytics tools provide detailed and valuable information, the existing studies have utilized their very basic features. In this thesis, we have explored web analytic tools and think-aloud study method to improve information architecture of web sites. Taking METU Informatics Institute web site as a case study, we have used the reports of Google Analytics which is a commercial web analytics tool owned by Google and think-aloud study results to improve the information architecture of our case study web-site.

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Gomes, João Fernando dos Anjos. "Recomendação de navegação em portais da internet como um serviço suportado em ferramentas Web Analytics." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais, 2016. http://hdl.handle.net/10400.26/17292.

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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre de Sistemas de Informação Organizacionais
Com o constante crescimento da utilização da Internet o número de websites e respetivas páginas contínua a evoluir também, por este motivo, verifica-se uma necessidade de alinhar a experiência de utilização com os objetivos gerais de um website. Para satisfazer esta necessidade o sistema de recomendação proposto sugere páginas ao utilizador que possam ser do seu interesse com base em perfis de navegação de um website em geral. A maioria dos sistemas de recomendação são baseados em regras de associação ou palavras chave (quando o conteúdo é considerado). No entanto, quando os dados não são suficientes ou são muito dispersos e a ordem é considerada, uma abordagem tradicional pode ser inadequada. Por outro lado, assumindo outro paradigma, a área de Web Analytics, tem obtido um crescimento considerável, através de ferramentas robustas que permitem a recolha e análise de dados da internet, a fim de compreender e otimizar eficiência e eficácia do website. O presente artigo propõe o desenvolvimento de um sistema de recomendação baseado na ferramenta Google Analytics. O protótipo é composto por dois componentes principais que são: 1) um serviço responsável pela construção e lógica associada à criação das recomendações; 2) uma biblioteca incorporável em qualquer website que providenciará um widget de recomendação configurável. Avaliações preliminares constataram que a implementação segue a lógica do modelo proposto.
As the Internet usage keeps increasing, the number of web sites and hence the number of web pages also keeps increasing, so there is a need to align the user experience with the overall websites purposes. Toward this requirement, the proposed recommendation systems suggest the user pages that might be of its interest based on past navigation profiles of overall site usage. Most of existing recommendation systems are based on association rules or based on keywords (when content is considered). However, on usage data shortage or sparse data and if sequential order is to be considered such traditional approaches may become unsuitable. Conversely, the Web Analytics arena, assuming other paradigm, has experienced a considerable growth through mature tools that allow the collection and analysis of internet data in order to understand and optimize website efficiency and efficacy. This work proposes the development of a recommendation system based on the Google Analytics tool. The prototype is constituted by two main components which are: 1) a service responsible for the construction and associated logic that underlies recommendations generation; 2) an embeddable library on any website that will furnish website with a configurable recommendation widget. Preliminary evaluations had showed that the implementation follows the logic of the proposed model.

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El, Zant Samer. "Google matrix analysis of Wikipedia networks." Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0046/document.

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Cette thèse s’intéresse à l’analyse du réseau dirigé extrait de la structure des hyperliens de Wikipédia. Notre objectif est de mesurer les interactions liant un sous-ensemble de pages du réseau Wikipédia. Par conséquent, nous proposons de tirer parti d’une nouvelle représentation matricielle appelée matrice réduite de Google ou "reduced Google Matrix". Cette matrice réduite de Google (GR) est définie pour un sous-ensemble de pages donné (c-à-d un réseau réduit).Comme pour la matrice de Google standard, un composant de GR capture la probabilité que deux noeuds du réseau réduit soient directement connectés dans le réseau complet. Une des particularités de GR est l’existence d’un autre composant qui explique la probabilité d’avoir deux noeuds indirectement connectés à travers tous les chemins possibles du réseau entier. Dans cette thèse, les résultats de notre étude de cas nous montrent que GR offre une représentation fiable des liens directs et indirects (cachés). Nous montrons que l’analyse de GR est complémentaire à l’analyse de "PageRank" et peut être exploitée pour étudier l’influence d’une variation de lien sur le reste de la structure du réseau. Les études de cas sont basées sur des réseaux Wikipédia provenant de différentes éditions linguistiques. Les interactions entre plusieurs groupes d’intérêt ont été étudiées en détail : peintres, pays et groupes terroristes. Pour chaque étude, un réseau réduit a été construit. Les interactions directes et indirectes ont été analysées et confrontées à des faits historiques, géopolitiques ou scientifiques. Une analyse de sensibilité est réalisée afin de comprendre l’influence des liens dans chaque groupe sur d’autres noeuds (ex : les pays dans notre cas). Notre analyse montre qu’il est possible d’extraire des interactions précieuses entre les peintres, les pays et les groupes terroristes. On retrouve par exemple, dans le réseau de peintre sissu de GR, un regroupement des artistes par grand mouvement de l’histoire de la peinture. Les interactions bien connues entre les grands pays de l’UE ou dans le monde entier sont également soulignées/mentionnées dans nos résultats. De même, le réseau de groupes terroristes présente des liens pertinents en ligne avec leur idéologie ou leurs relations historiques ou géopolitiques.Nous concluons cette étude en montrant que l’analyse réduite de la matrice de Google est une nouvelle méthode d’analyse puissante pour les grands réseaux dirigés. Nous affirmons que cette approche pourra aussi bien s’appliquer à des données représentées sous la forme de graphes dynamiques. Cette approche offre de nouvelles possibilités permettant une analyse efficace des interactions d’un groupe de noeuds enfoui dans un grand réseau dirigé
This thesis concentrates on the analysis of the large directed network representation of Wikipedia.Wikipedia stores valuable fine-grained dependencies among articles by linking webpages togetherfor diverse types of interactions. Our focus is to capture fine-grained and realistic interactionsbetween a subset of webpages in this Wikipedia network. Therefore, we propose to leverage anovel Google matrix representation of the network called the reduced Google matrix. This reducedGoogle matrix (GR) is derived for the subset of webpages of interest (i.e. the reduced network). Asfor the regular Google matrix, one component of GR captures the probability of two nodes of thereduced network to be directly connected in the full network. But unique to GR, anothercomponent accounts for the probability of having both nodes indirectly connected through allpossible paths in the full network. In this thesis, we demonstrate with several case studies that GRoffers a reliable and meaningful representation of direct and indirect (hidden) links of the reducednetwork. We show that GR analysis is complementary to the well-known PageRank analysis andcan be leveraged to study the influence of a link variation on the rest of the network structure.Case studies are based on Wikipedia networks originating from different language editions.Interactions between several groups of interest are studied in details: painters, countries andterrorist groups. For each study, a reduced network is built, direct and indirect interactions areanalyzed and confronted to historical, geopolitical or scientific facts. A sensitivity analysis isconducted to understand the influence of the ties in each group on other nodes (e.g. countries inour case). From our analysis, we show that it is possible to extract valuable interactions betweenpainters, countries or terrorist groups. Network of painters with GR capture art historical fact sucha painting movement classification. Well-known interactions of countries between major EUcountries or worldwide are underlined as well in our results. Similarly, networks of terrorist groupsshow relevant ties in line with their objective or their historical or geopolitical relationships. Weconclude this study by showing that the reduced Google matrix analysis is a novel powerfulanalysis method for large directed networks. We argue that this approach can find as well usefulapplication for different types of datasets constituted by the exchange of dynamic content. Thisapproach offers new possibilities to analyze effective interactions in a group of nodes embedded ina large directed network

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Hellman, Sara. "Hur småföretag kan utvärdera sin webbplats med hjälp av webbanalys." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64116.

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I den här uppsatsen kommer jag att presentera hur och varför småföretag bör använda sig av webbanalys för att utvärdera sin webbplats. Webbplatsen är en del av företagens digitalisering och möjliggör en internationell expansion, en viktig satsning för att minska beroendet av den konkurrensutsatta lokala marknaden som många företag i Sverige upplever som hämmande för sin tillväxt idag. För att samla in underlag till uppsatsen har en litteraturstudie genomförts, där fokus har varit att samla in teori från forskare och experter inom webbanalys.
In this essay, I will present how and why small businesses should use web analytics to evaluate how their website is performing. The website is a part of the company’s digitization and it enables their expansion to other countries. This is important since many Swedish companies today identifies the competitive local market as their biggest obstacle to future growth. A literature study has been conducted to gather information, focusing on collecting theory from researchers and experts in the field of web analytics.

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Andersson-Sunna, Josefin. "Large Scale Privacy-Centric Data Collection, Processing, and Presentation." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84930.

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It has become an important part of business development to collect statistical data from online sources. Information about users and how they interact with an online source can help improving the user experience and increasing sales of products. Collecting data about users has many benefits for the business owner, but it also raises privacy issues since more and more information about users are spread over the internet. Tools that collect statistical data from online sources exists, but using such tools gives away the control over the data collected. If a business implements its own analytics system, it is easier to make it more privacy centric and the control over the data collected is kept. This thesis examines what techniques that are most suitable for a system whose purpose is to collect, store, process, and present large-scale privacy centric data. Research about what technique to use for collecting data and how to keep track of unique users in a privacy centric way has been made as well as research about what database to use that can handle many write requests and store large scale data. A prototype was implemented based on the research, where JavaScript tagging is used to collect data from several online sources and cookies is used to keep track of unique users. Cassandra was chosen as database for the prototype because of its high scalability and speed at write requests. Two versions of the processing of raw data into statistical reports was implemented to be able to evaluate if the data should be preprocessed or if the reports could be created when the user asks for it. To evaluate the techniques used in the prototype, load tests of the prototype was made where the results showed that a bottleneck was reached after 45 seconds on a workload of 600 write requests per second. The tests also showed that the prototype managed to keep its performance at a workload of 500 write requests per second for one hour, where it completed 1 799 953 requests. Latency tests when processing raw data into statistical reports was also made to evaluate if the data should be preprocessed or processed when the user asks for the report. The result showed that it took around 30 seconds to process 1 200 000 rows of data from the database which is too long for a user to wait for the report. When investigating what part of the processing that increased the latency the most it showed that it was the retrieval of data from the database that increased the latency. It took around 25 seconds to retrieve the data and only around 5 seconds to process it into statistical reports. The tests showed that Cassandra is slow when retrieving many rows of data, but fast when writing data which is more important in this prototype.
Det har blivit en viktig del av affärsutvecklingen hos företag att samla in statistiska data från deras online-källor. Information om användare och hur de interagerar med en online-källa kan hjälpa till att förbättra användarupplevelsen och öka försäljningen av produkter. Att samla in data om användare har många fördelar för företagsägaren, men det väcker också integritetsfrågor eftersom mer och mer information om användare sprids över internet. Det finns redan verktyg som kan samla in statistiska data från online-källor, men när sådana verktyg används förloras kontrollen över den insamlade informationen. Om ett företag implementerar sitt eget analyssystem är det lättare att göra det mer integritetscentrerat och kontrollen över den insamlade informationen behålls. Detta arbete undersöker vilka tekniker som är mest lämpliga för ett system vars syfte är att samla in, lagra, bearbeta och presentera storskalig integritetscentrerad information. Teorier har undersökts om vilken teknik som ska användas för att samla in data och hur man kan hålla koll på unika användare på ett integritetscentrerat sätt, samt om vilken databas som ska användas som kan hantera många skrivförfrågningar och lagra storskaligdata. En prototyp implementerades baserat på teorierna, där JavaScript-taggning används som metod för att samla in data från flera online källor och cookies används för att hålla reda på unika användare. Cassandra valdes som databas för prototypen på grund av dess höga skalbarhet och snabbhet vid skrivförfrågningar. Två versioner av bearbetning av rådata till statistiska rapporter implementerades för att kunna utvärdera om data skulle bearbetas i förhand eller om rapporterna kunde skapas när användaren ber om den. För att utvärdera teknikerna som användes i prototypen gjordes belastningstester av prototypen där resultaten visade att en flaskhals nåddes efter 45 sekunder på en arbetsbelastning på 600 skrivförfrågningar per sekund. Testerna visade också att prototypen lyckades hålla prestandan med en arbetsbelastning på 500 skrivförfrågningar per sekund i en timme, där den slutförde 1 799 953 förfrågningar. Latenstest vid bearbetning av rådata till statistiska rapporter gjordes också för att utvärdera om data ska förbehandlas eller bearbetas när användaren ber om rapporten. Resultatet visade att det tog cirka 30 sekunder att bearbeta 1 200 000 rader med data från databasen vilket är för lång tid för en användare att vänta på rapporten. Vid undersökningar om vilken del av bearbetningen som ökade latensen mest visade det att det var hämtningen av data från databasen som ökade latensen. Det tog cirka 25 sekunder att hämta data och endast cirka 5 sekunder att bearbeta dem till statistiska rapporter. Testerna visade att Cassandra är långsam när man hämtar ut många rader med data, men är snabb på att skriva data vilket är viktigare i denna prototyp.

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BERGLUND, LOUISE. "How to find the right university? : A study about students’ online search behaviorwhen searching for higher education using Google Analytics." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223892.

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Marek, Lukáš. "Analýza a vylepšování aplikací pro prohlížeče na základě trendů užívání." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-198294.

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This master thesis deals with the topic of browser extensions, their environment and analysis. The goal is to describe the extensions environment, online Webstores, that offers extensions and to show best practices for analysis and optimization of its extensions and their assets. Within the thesis you can find very precise analysis of online Webstores for Google Chrome extensions and Mozilla Firefox add-ons. Conclusions are made based on this analysis that include special characteristics of the previously mentioned browsers. The master thesis consists of two parts, theoretical and practical. The theoretical parts deals with the description of the browser extensions environment and it presents specific characteristics about online Webstores and browser extensions to the reader. In the practical part the thesis is focused on objectives set by the thesis and it presents the results of the Webstore analysis and description of the universal Google Analytics solution that helps developers to analyze their extensions The thesis contributes to the topic mainly with the precise description of the browser Webstores and extensions environment, best practices and recommendations and by creating the universal Google Analytics solutions for the developers.

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Rezai, Arash. "Evaluation of development methods for mobile applications : Soundhailer’s site and iOS application." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191124.

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To remain competitive and successful in today’s globalized market, companies need a strategy to ensure that they are constantly at the leading edge in terms of products and services. The implementation of a mobile application is one approach to fulfill this requirement. This report describes an overview of the topic, by introducing briefly today’s development tools for mobile application development and subsequently focusing on the Soundhailer application, as the application done by the author. The problem in focus is to find out whether a native or web-based application is preferred for an iOS application production strategy for a start-up company. Moreover, the report delivers an insight into a well-structured method that works good for setting up measuring points for a website, also Soundhailer’s, and the factual realization of a development tool for iOS development. This insight is based on a lot of help from a former student of the Royal Institute of Technology, who has had some previous experience within the area. To show prospective similarities and differences between theory and reality, the experiences are subsequently compared to the theoretical part. Finally, the results are critically discussed. Two versions of the application were developed, both a native version and a web-based version, and the results show that both native and web-based applications can be convenient solutions for companies to implement and use. The results also provide a foundation upon which others can build and better understand how an iOS application is used and developed.
För att förbli konkurrenskraftiga och framgångsrika i dagens globaliserade marknad, behöver företagen en strategi för att se till att de ständigt är i framkant när det gäller produkter och tjänster. Att framställa en mobilapplikation är ett av många sätt för att nå upp till detta krav. Denna rapport ger en överblick över ämnet genom att först gå igenom dagens utvecklingsverktyg för mobilapplikationer och därefter fokusera på företaget Soundhailers mobilapplikation, eftersom denne har utvecklats av undertecknad. Problemet i fokus består av att ta reda på om en hårdvarukodad eller webbaserad applikation är att föredra för produktionsstrategin av en iOSapplikation för ett start-up-företag. Dessutom ger rapporten en inblick i en välstrukturerad metod som fungerar bra för att inrätta mätpunkter för en webbplats, med fokus på Soundhailers webbplats, samt det faktiska genomförandet av ett utvecklingsverktyg för iOS-utveckling. Denna insikt bygger på en hel del hjälp från en före detta elev på Kungliga Tekniska Högskolan som har tidigare erfarenheter inom området. För att sedan visa potentiella likheter och skillnader mellan teori och verklighet jämförs erfarenheterna med den teoretiska delen. Slutligen diskuteras resultaten kritiskt. Två versioner av applikationen har utvecklats, både en hårdvarukodad version och en webbaserad version, och resultaten visar att både hårdvarukodade och webbaserade applikationer kan vara praktiska lösningar som företag kan implementera och använda sig av. Resultaten ger också en grund på vilken andra kan bygga vidare på samt en bättre förståelse för hur en iOSapplikation kan användas och utvecklas

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Ondryáš, Radek. "Experimentální testování obecných postojů k reklamě na webu." Master's thesis, Česká zemědělská univerzita v Praze, 2017. http://www.nusl.cz/ntk/nusl-258804.

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Summary This thesis deals with measuring of the advertising impact on attitude changes of web visitors. Values were measured on the target web sites' of the company Fermat Group a.s. via Google Analytics. Parameter differences gained by testing of web sites visitors behaviour before and after the advertising position were compared. The tested advertising "Big machines for heavy manufacturing" led to fullfilling the set goal of the increase in a number of the target web sites' total display. Measurement results were statistically tested. Moreover, a questionnaire survey concerning perception of an online advertising was carried out.

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Carlsson, Emma. "Vill du bli min vän? : En fallstudie av implementeringen av relations-marknadsföring hos ett företag i musikbranschen." Thesis, Stockholms universitet, Institutionen för mediestudier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100361.

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Denna examensuppsats är ett resultat av en observationsstudie utförd på ett svenskt företag, verksam inom musikbranschen. Uppsatsens teoretiska utgångspunkter är relationsmarknadsföringsteori och konvergensteori. Relationsmarknadsföring, även förkortat RM utgår från nätverksteori och idén om att kommunikation flödar mellan noder (som exempelvis utgörs av personer, organisationer och till och med datorer) sammankopplade av relationer i ett nätverk. Konvergensteori bygger på konvergens vilket innebär att två tidigare åtskilda ting går samman till en enhet. Utifrån detta är uttrycket konvergenskultur sprunget. Utifrån dessa teorier har Företaget* granskats i ett försök att svara på frågeställningarna: Hur arbetar Företaget* med marknadskommunikation kring sina produktioner i sociala/digitala medier? Vilka paralleller kan dras till relationsmarknadsföring? Hur påverkar arbetsförhållanden på Företaget* sättet på vilket det kommunicerar med slutkund? Hur försöker man mäta de digitala relationen till slutkund? Undersökningen är gjord som en fallstudie, vilket innebär att de resultat den ger inte är generella, utan endast beskriver detta specifika studieobjekt. Observationsstudien genomfördes under två separata veckor under vilka författaren fick följa flera olika medarbetare i deras dagliga arbete. Vissa medarbetare intervjuades även separat. Resultatet av studien visar att arbetsförhållandena hos företage i stor utsträckning påverkar deras rutiner för kommunikation med slutkund. Eftersom de anställda koncentrerar sig på att sälja spelningar mot arrangörer faller uppgiften att marknadsföra på praktikanter. För dessa finns utvecklade rutiner för hur marknadskommunikationssarbetet i den digitala världen bör skötas. I slutdiskussionen diskuteras faran med att låta tillfälliga medarbetare sköta denna uppgift då det medför risker för enhetligheten i kommunikationen. Resultaten visar även att Företaget* till viss del arbetar med konvergens och synergi bl.a. genom transmediala projekt. De verktyg Företaget* använder för att mäta utfallet av sina marknadsåtgärder beskrivs och utvärderas. Slutligen föreslås vissa åtgärdsförslag.

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Hašková, Kateřina. "Praktická marketingová optimalizace prodejních webů." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-136350.

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Diploma thesis The practical marketing sales web optimization introduces to the reader the problematic of the Internet sales channel. The first chapter provides general aspects of internet business and introduces the concrete web, which is then used to validate the proposed procedures in the practical part of the Thesis. The chapter, entitled Initial analysis provides detailed analysis on a real Internet business, from technical, content and marketing perspective. The chapter Optimization applies and comments practical optimization steps in technical, content and marketing field. All the procedures proposed, and the result achieved are documented based on a verification using standard and recognized web analytics tool, web site traffic reporting tool and trades evaluation tools. The closing chapter Evaluation of optimization, evaluates the changes and extensions implemented and proposes additional both supplementary and strategic changes for the future.

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Ruskovská, Petra. "Analýza vplyvu internetového marketingu na návštevnosť Lenovo Blogu CZ." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-191903.

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The thesis analyses the impact of Internet marketing tools on visits of the Lenovo Blog CZ, the official blog of the computer manufacturer Lenovo. It focuses evolution of visits of the blog over time, on the impact of social networks and Facebook posts paid promotion on visits. Finally, it observes to what extent the Internet marketing tools impact overall visits of the blog over the observed time.

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Sobková, Jitka. "Online propagace webového portálu." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241457.

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The subject of the thesis Online Propagation of Web Portal is formulation of recom-mendations for online campaigns for selected business entity. In the first chapter are defined basic concepts of Internet advertising as part of marketing and terms of web analytics. In the second chapter, there are internet campaigns analyzed using web analy-tics. On the basis of this analysis are formulated specific recommendations in the third chapter. The fourth chapter deals with the evaluation of modified campaigns. The fifth chapter deals with the evaluation of the results and the formulation of final recommen-dations.

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Jašek, Pavel. "Webová analytika v malých a středních firmách." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72431.

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This topic of this work is web analytics and customer knowledge methods that help small and medium sized businesses for decision support and are intended to yield higher e-commerce results. The main purpose of this thesis is to design and verify possible uses of advanced web analytics methods in a customer-oriented small business. The theoretical part conducts research into the current state of the web analytics industry. The conditions of small and medium enterprises are described and suitable web analytics tools are compared. Several web analytics maturity models are discussed. The practical part of the thesis states specific recommendations obtained from the pilot project for the company Baushop s.r.o. The project consists of a business analysis and use of analytics tools for optimizing internet campaigns and improving customer service. Specific data analysis methods are discussed and all supportive data are provided.

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Krásný, Daniel. "Aplikace metod internetového marketingu a jejich vliv na návštěvnost webu HradecŽije.cz." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-193587.

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The main purpose of this master's thesis is the application of selected methods of internet marketing, checking their effectiveness and controlling their impact to visit rate of regional website. Due to the limited budget my work is mainly focused on inexpensive ways of applications of internet marketing. In the theoretical part I firstly demonstrate the techniques that I deal with. In the practical part I introduce the initial situation of the regional website, including the specifics of its visit rate. After the describing and application of marketing changes, I analyze the same metrics one year later to detect differences and development of website. In the conclusion I offer the concrete recommendations for managers of regional website.

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Švarc, Ondřej. "Online reklama." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-259895.

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This thesis is thematically focused on online advertising. The paper describes the history of online advertising and its advantages and disadvantages compared to other media types. There are mentioned standards of online advertising on the Czech Internet and ways to optimize the different types for better performance. Next we go over the characteristics of selected tools for assessing the success and management of online campaigns. We also compare the advertising possibilities of the two most used search engines in czech Seznam and Google. We analyze the possibilities of automation of product campaigns in the AdWords system. We compare the differences in intervention and prices of ads on social networks Facebook and Twitter and ads on the Google's Content Network on the basis of available targeting of Czech users.

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Hasan, Layla. "Usability evaluation framework for e-commerce websites in developing countries." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/5647.

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The importance of evaluating the usability of e-commerce websites is well recognised and this area has attracted research attention for more than a decade. Nearly all the studies that evaluated the usability of e-commerce websites employed either user-based (i.e. user testing) or evaluator-based (i.e. heuristic evaluation) usability evaluation methods; but no research has employed softwarebased (i.e. Google Analytics software) in the evaluation of such sites. Furthermore, the studies which employed user testing and/or heuristic evaluation methods in the evaluation of the usability of e-commerce websites did not offer detail about the benefits and drawbacks of these methods with respect to the identification of specific types of usability problems. This research developed a methodological framework for the usability evaluation of e-commerce websites which involved user testing and heuristic evaluation methods together with Google Analytics software. The framework was developed by comparing the benefits and drawbacks of these methods in terms of the specific areas of usability problems that they could or could not identify on ecommerce websites. The framework involves Google Analytics software as a preliminary step to provide a quick, easy and cheap indication of general potential usability problem areas on an e-commerce website and its specific pages. Then, the framework enables evaluators to choose other methods to provide in-depth detail about specific iv problems on the site. For instance, the framework suggests that user testing is good for identifying specific major usability problems related to four areas: navigation, design, the purchasing process and accessibility and customer service, while the heuristic evaluation is good for identifying a large number of specific minor usability problems related to eight areas including: navigation, internal search, the site architecture, the content, the design, accessibility and customer service, inconsistency and missing capabilities. The framework also suggests that the heuristic evaluation is good at identifying major security and privacy problems. The framework was developed based on an extensive evaluation of the effectiveness of the three methods in identifying specific usability problems in three case studies (e-commerce websites) in Jordan. This highlighted the usefulness of the methods and therefore helps e-commerce retailers to determine the usability method that best matches their needs. The framework was tested and the results indicated the usefulness of the suggested framework in raising awareness of usability and usability evaluation methods among e-commerce retailers in Jordan. This will help them address usability in the design of their websites, thus helping them to survive, grow and achieve success.

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Dissertations / Theses on the topic 'Google Analytics'

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