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Methodology for marketing of mobile applications

Milan Nedović (2013) Methodology for marketing of mobile applications. EngD thesis.

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    Abstract

    Technological development of mobile devices, rifeness of mobile networks and mainly affordable prices are main reasons that made mobile devices and applications so spread. Most app developers are focused just on app development and not so in app marketing or selling apps. There is endless sea of apps on app market and they are not selling themselves, but with right marketing attitude, it is possible to succeed and swim out on the surface. Although application is very good, that doesn't mean success on the market, success is made from the combination of great app and great app marketing. In the thesis we first present differences between two biggest app providers, App Store (iOS) and Google Play (Android). In the main part, we thoroughly describe methods of work, which should increase our options of selling the app. The main part is divided into App Store marketing and app analytics, ways of promotion and to changes in the GUI. We showed the actual solution of this particular problem like this, that we collected whole knowledge that we received through exploring market and theories of app marketing, and we transferred it to the Slovenian Wine application. A plan was made for this app, which should increase the number of installations mainly on foreign markets, because the app exceeded expectations of the firm in Slovenian market. In this plan, there are only changes for the app, for which we mean that they will have positive influence on the app and which won't just sell more apps, but also keep long-term permanent users.

    Item Type: Thesis (EngD thesis)
    Keywords: iOS, Apple, App Store, mobile application, marketing, optimization
    Number of Pages: 54
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Rok Rupnik279Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=9757780)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 2002
    Date Deposited: 21 Mar 2013 12:45
    Last Modified: 08 Apr 2013 13:23
    URI: http://eprints.fri.uni-lj.si/id/eprint/2002

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