Game Analytics on Free to Play

Robert Flunger, Andreas Mladenow, Christine Strauss

Veröffentlichungen: Beitrag in BuchBeitrag in KonferenzbandPeer Reviewed

Abstract

This contribution refers to a prosperous digital business segment, i.e. gaming business. We identify game analytics aspects with a focus on analytical and predictive models for free to play (F2P) business models. The main areas of interest in this category are player churn prediction and customer lifetime value (CLV) prediction. Additionally, our study discusses why small and medium-sized developers should use game analytic tools. Based on a literature review we analyse three categories regarding game analytics: the first one describes motivations for small and medium sized game developers to use game analytic tools; the second one contains six studies discussing churn prediction models in F2P games; the third one contains four studies on prediction of customers’ lifetime value.

OriginalspracheEnglisch
TitelBig Data Innovations and Applications - 5th International Conference, Innovate-Data 2019, Proceedings
Redakteure*innenMuhammad Younas, Irfan Awan, Salima Benbernou
ErscheinungsortSwitzerland
Herausgeber (Verlag)Springer
Seiten133-141
Seitenumfang9
ISBN (elektronisch)978-3-030-27355-2
ISBN (Print)9783030273545
DOIs
PublikationsstatusVeröffentlicht - 1 Jan. 2019
Veranstaltung5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019 - Istanbul, Türkei
Dauer: 26 Aug. 201928 Aug. 2019

Publikationsreihe

ReiheCommunications in Computer and Information Science (CCIS)
Band1054
ISSN1865-0929

Konferenz

Konferenz5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019
Land/GebietTürkei
OrtIstanbul
Zeitraum26/08/1928/08/19

ÖFOS 2012

  • 502050 Wirtschaftsinformatik
  • 502007 E-Commerce

Zitationsweisen