This thesis is focused on proposals of promotion specific e-shop. The purpose of this thesis is to design such forms of promotion which are going to be effective and accessible even for smaller and starting e-shops. In the theoretical part I am introducing common knowledge needed for understanding the e-shops and internet marketing topics, then I analyze current state and position on the market and finally I evaluate separate forms of promotion including suggestions for their use by this selected e-shop.

This thesis deals with conversion rate optimization and evaluation of its results. Thesis introduces and compares conversion rate optimization options -- web analytics, heatmaps, user testing and A/B testing. The practical part consists conversion rate optimization of Faculty of Management website and quantification its results.

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.

The diploma thesis is focused on the social networking sites in terms of their use for increasing the competitiveness of companies. The first part deals with a theoretical introduction to social networks where the basic concepts are defined and then characterized by major networks globally. Each social network is analyzed both in terms of the structure of its users, and are listed as individual options, which provides for promotion within their system - they are mentioned both paid and unpaid opportunities. At the end of this section are described the general possibilities of using social networking for business - ways to measure the impact of these activities, risks and requirements of their operation within the company. The second part is a practical solution to use social networks to support the selected e-commerce business. The introduction provides basic parameters of the e-shop is defined by the competitive environment. The analysis carried out various solutions to various social networks. It is designed and implemented their own social network to the target audience the company. The practical part ends with a final report including recommendations for further progress in the use of social networks. The main contribution of the paper is to present a detailed analysis of selected enterprise communication on social networks, including putting all the relevant data from which the conclusion can be drawn in specific recommendations to further enhance competitiveness.

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.

Mater thesis deals with online marketing and optimization of marketing communication strategy for online job board specialised on remote jobs. The practical part based on theory and analyses of competitors and macro/micro environmental factors focus on short term marketing campaign. This campaign tests reaching the main goal of the strategy by evaluating operative goals. After evaluation of the campaign, there is optimized marketing communication strategy plan.

The subject of this diploma thesis is online marketing communication using search engine marketing tools. It specifies what online marketing and search engine marketing are, describes its tools and explains its use. The analytical part of the work uses tools such as analysis of macro and micro environment, analysis of marketing mix and associated SEO analysis. Last but not least, the development of website traffic and the subsequent possible development of this data in the future will also be examined. Based on the findings from the analytical part, in the last part of the work will be designed online marketing communication using search engine marketing.

The master’s thesis analyses a selected company operating in the tourism industry. The company has customers from more than five countries and specialises in offering hotel services in the Giant Mountains, especially for Czech, Polish and German clients. The result of this thesis is an international marketing strategy that is in line with current trends in the hotel industry. The secondary objective is to segment current and potential customers by using Google Analytics when preparing international marketing strategy.

This diploma thesis deals with the marketing strategy of ROS.BR s.r.o. The work is divided into three units. The first theoretical part describes general problems of marketing strategy development, market development characteristics, segmentation and marketing situational analysis. The second analytical part deals with the analysis of the internal factors of the company, the general and the business environment, the interpretation of the conclusion from the questionnaire survey and the analysis of the web marketing tools. In the third final part is elaborated a proposal of marketing strategy, individual goals and paths to achieve the stated goals.

[EN] The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in an online media and the possible prediction of the selected success variables. Framed in the field of digital journalism, it responds to the need to analyze the success of web content so that it can help in the decision-making of the editorial team of a digital medium. A line of research focused on the content itself, providing an innovative vision to that of previous research, and a methodology that serves as a basis for future scientific advances. It is about the contribution of valuable information, either from the statistical analysis of the data or from the possible prediction of the success indicators of greatest interest to the environment. In this way, it could be integrated as a feedback into the content strategy and thus favor its iterative optimization. The main objective, therefore, is the design of a cybermetric methodology for calculating the success of an online publication, having as specific objectives: to research the concept of success in digital journalism, the social network Twitter, web analytics and web advertising; design the methodology and determine what tools and reports are needed; extract and process data for statistical analysis; perform regressions that allow to obtain prediction equations of the selected success variables; and validate the prediction equations with test data and obtain their precision, serving this as a degree of confidence in the prediction. The design of the methodology has served to observe a significant over-dispersion in the data, as well as to demonstrate that the success of a web content has a strongly multifactorial nature, which causes a decrease in the variability calculated using the indicators proposed by previous research. This thesis serves, then, as the basis for a very interesting research framework both at an academic and business level: the prediction of the success of digital content. / [ES] El objetivo de estudio es el diseño de una metodología cibermétrica para medir el éxito de los contenidos publicados en un medio de comunicación online y su posible predicción, de manera que se pueda orientar la optimización de los futuros contenidos publicados por el medio. Enmarcada en el ámbito del periodismo digital, responde a la necesidad de analizar el éxito de los contenidos web de manera que se pueda ayudar en la toma de decisiones del equipo editorial. Para ello, se ha realizado un extenso estudio de las publicaciones académicas versadas en las diferentes disciplinas que tienen lugar en esta tesis: la comunicación de contenidos digitales, Twitter, la difusión de las noticias en Twitter, la analítica web, la cibermetría, la analítica en Twitter, el análisis de tendencias en Twitter y la publicidad web. Con dicho marco, se ha obtenido información valiosa para la optimización futura de los contenidos digitales, ya sea procedente del análisis estadístico de los datos o de la posible predicción de los indicadores de éxito de mayor interés para el medio. De esta manera, se podría integrar de manera retroalimentada en la estrategia de contenidos y favorecer así su optimización iterativamente. Para ello, se han tenido en cuenta los siguientes objetivos específicos: investigar el concepto de éxito en el periodismo digital, la red social Twitter, la analítica web y la publicidad en la web; diseñar la metodología y determinar qué herramientas y reportes son necesarios; extraer y procesar los datos para su análisis estadístico; realizar regresiones que permitan obtener ecuaciones de predicción de las variables de éxito seleccionadas; y validar las ecuaciones de predicción con datos de test y obtener su precisión, sirviendo esta como grado de confianza en la predicción. El diseño de la metodología ha servido para observar una sobre dispersión significativa en los datos, así como demostrar que el éxito de un contenido web tiene un carácter fuertemente multifactorial, lo cual provoca una disminución en la variabilidad calculada mediante los indicadores propuestos por investigaciones previas. Esta tesis sirve, entonces, como base para una línea de investigación sobre la optimización de contenido digital basándose en la predicción estadística de su éxito. / [CAT] L'objectiu d'estudi és el disseny d'una metodologia cibermètrica per a mesurar l'èxit dels continguts publicats en un mitjà de comunicació en línia i la seua possible predicció, de manera que es puga orientar l'optimització dels futurs continguts publicats pel mitjà. Emmarcada en l'àmbit del periodisme digital, respon a la necessitat d'analitzar l'èxit dels continguts web de manera que es puga ajudar en la presa de decisions de l'equip editorial. Per a això, s'ha realitzat un extens estudi de les publicacions acadèmiques versades en les diferents disciplines que tenen lloc en aquesta tesi: la comunicació de continguts digitals, Twitter, la difusió de les notícies en Twitter, l'analítica web, la cibermetría, l'analítica en Twitter, l'anàlisi de tendències en Twitter i la publicitat web. Amb aquest marc, s'ha obtingut informació valuosa per a l'optimització futura dels continguts digitals, ja siga procedent de l'anàlisi estadística de les dades o de la possible predicció dels indicadors d'èxit de major interés per al mitjà. D'aquesta manera, es podria integrar de manera retroalimentada en l'estratègia de continguts i afavorir així la seua optimització iterativament. Per a això, s'han tingut en compte els següents objectius específics: investigar el concepte d'èxit en el periodisme digital, la xarxa social Twitter, l'analítica web i la publicitat en la web; dissenyar la metodologia i determinar quines eines i reportes són necessaris; extraure i processar les dades per a la seua anàlisi estadística; realitzar regressions que permeten obtindre equacions de predicció de les variables d'èxit seleccionades; i validar les equacions de predicció amb dades de test i obtindre la seua precisió, servint aquesta com a grau de confiança en la predicció. El disseny de la metodologia ha servit per a observar una sobre dispersió significativa en les dades, així com demostrar que l'èxit d'un contingut web té un caràcter fortament multifactorial, la qual cosa provoca una disminució en la variabilitat calculada mitjançant els indicadors proposats per investigacions prèvies. Aquesta tesi serveix, llavors, com a base per a una línia d'investigació sobre l'optimització de contingut digital basant-se en la predicció estadística del seu èxit. / Yeste Moreno, VM. (2021). Diseño de una metodología cibermétrica de cálculo del éxito para la optimización de contenidos web [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/176009 / TESIS