A Framework for App Store Optimization

TL;DR

This paper proposes a comprehensive framework for app store optimization, focusing on developer and user dependent elements, and demonstrates that optimizing developer elements can improve app visibility and downloads.

Contribution

It introduces a novel framework for app store optimization based on empirical data from Google Play and Apple iTunes, highlighting underutilized areas like app names and descriptions.

Findings

Developer dependent elements can be optimized for better results.

Names and descriptions of apps are underutilized in current optimization.

Framework is validated using data from leading app stores.

Abstract

In this paper a framework for app store optimization is proposed. The framework is based on two main areas: developer dependent elements and user dependent elements. Developer dependent elements are similar to factors in search engine optimization. User dependent elements are similar to activities in social media. The proposed framework is modelled after downloading sample data from two leading app stores: Google Play and Apple iTunes. Results show that developer dependent elements can be better optimized. Names and descriptions of mobile apps are not fully utilized.