This work focuses on web personalization, its advantages for users and merchants. Presents current standards in this field, analyzes theoretical background and technical realization. Finally describes application of the theory on actual web projects - Skrz.cz and Drakkaria.cz. Main benefit of this work is a complete overview of the web personalization and general manual for personalization implementators.

This thesis bridges the gap between two popular methods of achieving more efficient online experiments, sequential tests and variance reduction with pre-experiment data. Through simulations, it is shown that there is efficiency to be gained in using control-variates sequentially along with the popular mixture Sequential Probability Ratio Test. More efficient tests lead to faster decisions and smaller sample sizes required. The technique proposed is also tested using empirical data on users from the music streaming service Spotify. An R package which includes the main tests applied in this thesis is also presented.

Webbaserade kontrollerade experiment håller alltmer på att bli normen för mjukvaruföretagsom vill bli data-drivna. Ett av de vanligaste experimenten idag är A/Btester.Att få resultat från A/B-tester är enkelt, att få trovärdiga resultat är svårare.Även om forskningsområdet gällande A/B-testning är aktivt så finns det ännu ingenöverenskommen definition av nödvändiga förutsättningar för trovärdig A/B-testning.Denna uppsats presenterar en uppsättning förutsättningar och kopplar samman dessamed egenskaper för A/B-testningsplattformar. Resultaten visar vilka egenskaper enplattform ska inneha för att uppnå trovärdiga resultat. Uppsatsen presenterar ocksåen utvärdering av två vanliga A/B-testningsplattformar. Under denna utvärdering upptäcktesegenskaper som kan ha motsatt effekt på trovärdigheten av resultaten vilketockså diskuteras i uppsatsen. / Web-based controlled experiments are increasingly becoming the norm for softwaredevelopment companies who want to become data-driven. One of the most commonexperiments today is A/B-tests. While it is easy to get results from A/B-tests, gettingtrustworthy results is harder. Although the research field of A/B-testing is active,there is no agreed definition of the necessary conditions for running trustworthy A/Btest.This thesis presents a set of trustworthy conditions and connect these with A/Btestingplatform features. The results show what features to look for in platforms inorder to achieve trustworthy results. The thesis also presents an evaluation of twocommon A/B-testing platforms available today. During the platform evaluation otherfeatures were found that could have the opposite impact on the trustworthiness of theresults and this is also discussed in this thesis.

An A/B test is implemented on a SaaS rm's product page to examine the di erence in conversion rates from website visitors who are randomly assigned to two di erent product-landing pages that show di erent prices. To count as a successful conversion the visitors that view a product-landing page have to click on a \Free Trial" button. Half of the group will be assigned the treatment page, which will state higher prices and the other half will be assigned the controlled page, which will state today's current price. The only variant that will di er from the two pages will be the stated price of the product and all other factors will be kept constant. The controlled experiment is executed to get a sense of customers' price sensitivity, hence this thesis contributes to microeconomic research of the private sector, more specically to the ICT industry by using a novel approach with the help of A/B testing on prices. The results showed no statistical signicance difference between the two variations, which can be translated to accepting the null hypothesis; the demand for a particular Software-As-A-Service product will hold unchanged after the proposed price increase. At rst, this could be a surprising result but when looking into the industry, which the rm participates in and their early mover advantages this result could have been assumed.

The thesis in theoretical part explains the importance of optimizing usability for e-shops and describes the whole process optimization with a focus on user testing and A/B testing. Each of optimization methods is supplemented by examples from case studies. In the practical part thesis is focused on optimizing usability of specific e-shop Vivantis.cz. It shows the practical application of optimization methods with the emphasis on user testing and A/B testing.

When it comes to web-based user interfaces and web design, one of today’s trends is to use informative and storytelling animations. They can be used as tools for communication, simplifying the interaction, or guiding the user’s attention. However, those animations used in a web- based user interface can slow down the interaction and the user flow and become a distraction for the user. Three popular informative and storytelling animations that are used in web design are: background video, animated slideshows, and parallax scrolling. In order to understand what effect these informative animations have on the users’ reading comprehension on websites — four prototypes were created in Adobe Muse. A user study in form of an A/ B testing followed by a questionnaire were conducted, showing that the three different animations affected the reading comprehension negative. While they at the same time also brought an entertaining feeling to the user experience (UX).

The goal of this Master's thesis is to explain the importance of the Conversion Rate Optimization (CRO) at today's E-commerce market share. A lot of people in Czech Republic confuse this term with more popular and similar term: Search Engine Optimization (SEO). The CRO focuses on the particular website and its ability to meet the business goals. The goal of the CRO is to improve the website and its conversion rates for acceptable costs. The ROI is important here. The CRO is a broad topic so I focus only on one part -- A/B Testing. This technique is based on showing different variations of a specific web page to the users. They are divided among these variations. Each part can see different variation. In the result we can see which variation was the best in meeting the business goals. The goal of this Master's thesis is to thoroughly introduce this technique and the tool which is perfectly suitable for that -- Google Website Optimizer. It is free and worldwide known and used. This Master's thesis is divided into several main chapters. In the introduction I describe few marketing models that are closely related to the CRO. Then I focus on the CRO, A/B Testing and Google Website Optimizer. In the last chapter you can find a case study full of practical examples. So far there are only a few resources about CRO in the Czech language. That also demonstrates the fact, that the CRO is not much popular in Czech Republic so far. On the contrary in the USA or Western Europe these techniques are commonly used. Not only big companies like Google or Amazon.com, but even small businesses use the techniques of CRO and can profit from it. I think it is only the matter of time it becomes more popular also in the Czech Republic. Therefore I believe a lot of people find my Master's thesis very useful.

Thesis is focused on online content testing for the purpose of optimizing the performance of business and information channels in a global environment, i.e. where visitors come from different countries. This diversity causes different behavior of visitors, for example as the American perception of the content is entirely different from the Brazilian and French. Different perceptions and consumer behavior is caused by a different national culture in these countries. Therefore it is necessary or appropriate to test content for the purpose of optimizing on the local level. The simplest option is obviously to run the same test for each country separately. But that is extremely difficult in practice because of the duration of the test and human resources needed for test design, implementation, and evaluation. Therefore the aim of this thesis is to suggest modification of the general method used for testing the online content that will be sufficient for testing on the local level and will take cultural differences of each country into account, but yet also will be effective in terms of time and human resources consumption. Currently there isn't any publicly documented method which would cover this issue. The key of this modification is the segmentation of countries into groups based on similar national culture. Therefore the value of national culture has to be identified in some way and for this purpose it is possible to use model of the Dutch Professor Geert Hofstede, who identified six dimensions of national culture for each country and assigned them values. The benefit of this thesis is described modification of the testing method which is particularly suitable for companies operating on the global market or multiple markets simultaneously. This method, if it's used properly, is able to deliver growth of revenue while simultaneously reducing the consumption of human resources.

This thesis deals with the improving of website business performance through the optimization with a focus on user experience. Its concern is not how to accumulate more traffic to the website but rather how to motivate website users, persuade and help them achieve desired goals. The aim is to introduce the concept of User Experience (UX) and Conversion Optimization (CRO). Further on, to suggest a general process of the website optimization focused on user experience and to apply this procedure in a case study. The contribution of this thesis is to link the UX/CRO concepts that provide users with a positive brand experience and allow organizations a sustainable competitive advantage, differentiation and higher marketing ROI.

In digital advertising, major search engines allow advertisers to set bid adjustments on their ad campaigns in order to capture the valuation differences that are a function of query dimensions. In this thesis, a model that uses bid adjustments is developed in order to increase the number of conversions and decrease the cost per conversion. A statistical model is used to select campaigns and dimensions that need bid adjustments along with several techniques to determine their values since they can be between -90% and 900%. In addition, an evaluation procedure is developed that uses campaign historical data in order to evaluate the calculation methods as well as to validate different approaches. We study the problem of interactions between different adjustments and a solution is formulated. Real-time experiments showed that our bid adjustments model improved the performance of online advertising campaigns with statistical significance. It increased the number of conversions by 9%, and decreased the cost per conversion by 10%. / I digital marknadsföring tillåter de dominerande sökmotorerna en annonsör att ändra sina bud med hjälp av så kallade budjusteringar baserat på olika dimensioner i sökförfrågan, i syfte att kompensera för olika värden de dimensionerna medför. I det här arbetet tas en modell fram för att sätta budjusteringar i syfte att öka mängden konverteringar och samtidigt minska kostnaden per konvertering. En statistisk modell används för att välja kampanjer och dimensioner som behöver justeringar och flera olika tekniker för att bestämma justeringens storlek, som kan spänna från -90% till 900%, undersöks. Utöver detta tas en evalueringsmetod fram som använder en kampanjs historiska data för att utvärdera de olika metoderna och validera olika tillvägagångssätt. Vi studerar interaktionsproblemet mellan olika dimensioners budjusteringar och en lösning formuleras. Realtidsexperiment visar att vår modell för budjusteringar förbättrade prestandan i marknadsföringskampanjerna med statistisk signifikans. Konverteringarna ökade med 9% och kostnaden per konvertering minskade med 10%.