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Use of qualitative user behavior data in web analytics
Repetný, Michael ; Stříteský, Václav (advisor) ; Jašek, Pavel (referee)
This thesis covers main aspects of web analytics and use of qualitative data in better decision making processes. It describes the importance of web analytics, alternative tools for data collection and their utilization. The problem to be solved is the low number of online orders on the website. Selected problem is being solved by implementation of analytical program Zeerat and subsequent analysis of traffic drop-off at each step of ordering process, click heatmap of the problematic page and responses from the online survey. Based on the results of analysis, an alternative version is suggested. The introduction of a new version resulted in increasing bookings by 107 %. The main goal of this thesis is the introduction and comparison of feedback gathering methods and subsequent application of selected approaches in practice to specific project in order to increase website's business performance.
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Marketing in virtual environment
Karásek, Pavel ; Smutný, Zdeněk (advisor) ; Řezníček, Václav (referee)
The bachelor thesis focuses on online marketing and its connection with 4Ps of traditional marketing and SEO optimization. Thesis consists of two parts. Theoretical part defines and explains basic facts about online marketing. The 4Ps of marketing are analyzed and compared in virtual and physical environment. There are pros and cons mentioned for each environment. Practical part is dealing with the optimization of the internet website owned by hotel S.E.N. The optimization reflects the marketing needs of the hotels marketing concept. The optimization uses techniques of the online marketing which were explained in the theoretical part. The obtained results are summarized and evaluated at the end of the thesis.
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Marketing analysis of the e-shop Mx4life.cz
Horák, Patrik ; Sedláček, Jiří (advisor) ; Benedikt, Jiří (referee)
The thesis summarizes the findings concerning the website Mx4life.cz. The introductory theoretical part focuses on the summary of the basic findings about the Internet and e-commerce. Marketing mix and Google Analytics are included in this part too. The following practical part consists an analysis of basic information about the content and technical features of the website, individual tools of the marketing mix and the data measured in the web application Google Analytics. Moreover, the thesis looks into the competition from both e-shop's and brick-and-mortar businesses'points of view. The main aim of the present thesis is to assess the current situation with regard to the analyses already mentioned and suggest possible changes in order to increase the web site traffic and thus increase the company's competitive ability.
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The Use of Google Analytics in an E-shop
Jansa, Marek ; Molnár, Zdeněk (advisor) ; Gála, Libor (referee)
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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