The Importance of App Store Optimization (ASO) for Hospitality Applications

Padilla-Piernas, Juana María; Parra-Meroño, María Concepción; Beltrán-Bueno, Miguel Ángel

doi:10.1007/978-3-030-24374-6_11

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…The current user statistics as of 10 th October 2023 shows that without any marketing effort, such as Application Store Optimization (ASO) [91][92] for improving our application's visibility, our application achieved a maximum of 890 monthly active users on 27 th of September 2023. Without any intervention for marketing, such a performance reflects application's appeal to users.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Development and Perceived Usability Evaluation of a Mobile application for Notetaking

Demirelli,

Isler,

Yuce

2023

EAI Endorsed Trans e-Learn

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INTRODUCTION: Notetaking is considered, by many educators, as one of the critical actions of learning. There are several note-taking methods and approaches. Based on these methods and approaches, various applications, whether mobile, desktop or -Web-based, were developed.OBJECTIVES: In this paper, a novel note-taking application based on Cornell Technique, is presented. Its development process and user acceptance trend are exhibited and results for user evaluation based on user satisfaction are presented. METHODS: For the software development process, Incremental Model was adopted. Requirement Analysis included, aside from examining principles and related note-taking structure of Cornell Technique, investigating (i) how to perform notetaking as an activity of learning, (ii) its product and (iii) relationship of notes for the purpose of storage. Models containing sub-activities, such as reviewing note have been identified and some were selectively adopted and related functions such as review alert (tickler) and collaboration on notetaking have been implemented. To the purpose of storage, a tree-based scheme called collection was modelled. User interfaces were first designed as mockups and click-through pro-totype using Adobe XD. The mobile application was implemented in Dart programming language. Google’s Firebase Service and Flutter Framework was adopted. The mobile application was compared with its equivalents in the Google Play Store and user statistics were investigated. To evaluate perceived usability, the System Usability Scale is adopted and applied to 14 university students conforming to determined persona.RESULTS: The application has been published in Google Play Store for users to install for free on 18th March 2022. As of 10th September 2023, total number of downloads is 5K and the Cornell Note mobile app is currently installed on 1108 devices. For the last three-month period (from 11th June to 10th September 2023), the active users per month changed in an increasing trend from 450 to 589. The average engagement time on 11th of April 2023 was 28 minutes 00 seconds. As the number of monthly active users increased, the average engagement time measured on 10th September 2023 decreased to 23 minutes 31 seconds. However, engagement rates measured were 76.91% and 77.19%, respectively. The mean SUS score was found to be equal to 79.5.CONCLUSION: The user statistics and comparison with equivalent mobile applications reveal that Cornell Note has potential to grow as a mobile application for notetaking since it has a good perceived usability, however, there is room for improvement. Considering any extra marketing effort was not spent for the application such as application store optimization, the statistics are another evidence for user appeal and acceptance. However, it is important to add new functionality without complicating the user experience so that user appeal and acceptance boosts.

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Section: Discussion and Future Workmentioning

confidence: 99%

Development and Perceived Usability Evaluation of a Mobile application for Notetaking

Demirelli,

Isler,

Yuce

2023

EAI Endorsed Trans e-Learn

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“…The proposed approach is to assist developers to select the proper release opportunity based on the purpose of the update and current condition of the app [13]. In a recent study, names, descriptions were analyzed in terms of influencing ranking position in the store [14]. Developers also can do a shady move to fraud app ranking.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Developers’ and Users’ Dependent Factors in App Store Optimization

Strzelecki

2020

Int. J. Interact. Mob. Technol.

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This paper presents an application of developers' and users' dependent factors in the app store optimization. The application is based on two main fields: developers’ dependent factors and users’ dependent factors. Developers’ dependent factors are identified as: developer name, app name, subtitle, genre, short description, long description, content rating, system requirements, page url, last update, what’s new and price. Users’ dependent factors are identified as: download volume, average rating, rating volume and reviews. The proposed application in its final form is modelled after mining sample data from two leading app stores: Google Play and Apple App Store. Results from analyzing collected data show that developer dependent elements can be better optimized. Names and descriptions of mobile apps are not fully utilized. In Google Play there is one significant correlation between download volume and number of reviews, whereas in App Store there is no significant correlation between factors.

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