IRMay 28, 2019

A Framework for App Store Optimization

arXiv:1905.11668v311 citations
Originality Synthesis-oriented
AI Analysis

This addresses app store optimization for developers, but it is incremental as it builds on existing SEO and social media concepts.

The paper tackles app store optimization by proposing a framework based on developer-dependent and user-dependent elements, analyzing data from Google Play and Apple iTunes, and finding that developer-dependent elements can be better optimized while names and descriptions are underutilized.

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.

Foundations

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