A Framework for App Store Optimization

05/28/2019
by   Artur Strzelecki, et al.
0

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 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.

READ FULL TEXT
research
10/04/2020

Understanding Incentivized Mobile App Installs on Google Play Store

"Incentivized" advertising platforms allow mobile app developers to acqu...
research
06/20/2022

The Cost of the GDPR for Apps? Nearly Impossible to Study without Platform Data

A recently published pre-print titled 'GDPR and the Lost Generation of I...
research
12/02/2019

Addict Free – A Smart and Connected Relapse Intervention Mobile App

It is widely acknowledged that addiction relapse is highly associated wi...
research
04/26/2018

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps

Counterfeit apps impersonate existing popular apps in attempts to misgui...
research
01/28/2023

Strategies, Benefits and Challenges of App Store-inspired Requirements Elicitation

App store-inspired elicitation is the practice of exploring competitors'...
research
05/25/2019

An Exploratory Study on Machine Learning Model Stores

Recent advances in Artificial Intelligence, especially in Machine Learni...
research
02/22/2017

Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store

In this study, the authors develop a structural model that combines a ma...

Please sign up or login with your details

Forgot password? Click here to reset