  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.
