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Systematic Retrieval and Analysis of Heterogenous Online Retail Platform Data to Support Customer Targeting in Gaming Business

Publications: Contribution to bookChapterPeer Reviewed

Abstract

This study demonstrates how heterogenous data can be retrieved from global yet regionally tailored online retail platforms. A systematic data retrieval approach is suggested to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3 × 3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, United States, Japan). A streamlined choice of entries on the chosen online retail platforms is suggested. We determine adequate criteria that allow for data comparisons between different regions. This study’s systematic approach provides first-step solutions to gather, interpret, and manage information derived from online retail platforms to increase its business usage and value. The analysis of rating, pricing, and age rating similarities and differences in various countries is of value to game research and game developer studios. It can provide a basis to develop successful strategies for customer targeting in different regions.
Original languageEnglish
Title of host publicationDevelopments in Information & Knowledge Management for Business Applications
EditorsNatalia Kryvinska, Michal Greguš
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages479-504
Edition1
ISBN (Electronic)978-3-030-95813-8
ISBN (Print)978-3-030-95812-1
DOIs
Publication statusPublished - 2022

Publication series

SeriesStudies in Systems, Decision and Control
Volume420
ISSN2198-4182

Austrian Fields of Science 2012

  • 502019 Marketing
  • 502007 E-commerce
  • 509014 Game research

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