Loughborough University
Browse
Michaelidou.pdf (163.24 kB)

When are apps worth paying for? An analysis of the market performance of mobile apps

Download (163.24 kB)
journal contribution
posted on 2017-02-21, 15:11 authored by L. Stocchi, C. Guerini, Nina MichaelidouNina Michaelidou
Through the use of established marketing laws such as the brand usage and image relationship and the Double Jeopardy effect, this research shows how to analyze the market performance of different types of mobile apps. The key empirical findings are as follows: apps linked to an offline/online brand attract more users and obtain stronger brand image if made available to consumers at no cost; apps branded independently attract more users and obtain stronger brand image if offered at a price. These outcomes significantly add to existing knowledge about branded apps, and demonstrate that longstanding marketing laws support the understanding and evaluation of market trends in the mobile digital context. These findings also translate into practical guidelines relevant to managers of existing brands wanting to launch an app, as well as managers wanting to market apps as stand-alone digital products.

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Advertising Research

Citation

STOCCHI, L., GUERINI, C. and MICHAELIDOU, N., 2017. When are apps worth paying for? How Marketers Can Analyze The Market Performance of Mobile Apps . Journal of Advertising Research, 57(3), pp. 260-271.

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2016-11-04

Publication date

2017

Notes

This paper was accepted for publication in the journal Journal of Advertising Research and the definitive published version is available at https://doi.org/10.2501/JAR-2017-035

ISSN

1740-1909

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC