Publications
2019
Flunger, Robert; Mladenow, Andreas; Strauss, Christine
Game Analytics on Free to Play Konferenzbeitrag
In: Younas, Muhammad; Awan, Irfan; Benbernou, Salima (Hrsg.): Big Data Innovations and Applications - 5th International Conference, Innovate-Data 2019, Proceedings, S. 133–141, Springer, 2019, ISBN: 9783030273545, (5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019 ; Conference date: 26-08-2019 Through 28-08-2019).
Abstract | Links | BibTeX | Schlagwörter: Big data analytics, Business intelligence, Business model, Customer lifetime value, Decision making, Free to play, Game analytics, Online gaming industry
@inproceedings{2d9782aeb4034b1681879658ee4ed1db,
title = {Game Analytics on Free to Play},
author = {Robert Flunger and Andreas Mladenow and Christine Strauss},
editor = {Muhammad Younas and Irfan Awan and Salima Benbernou},
doi = {10.1007/978-3-030-27355-2_10},
isbn = {9783030273545},
year = {2019},
date = {2019-01-01},
booktitle = {Big Data Innovations and Applications - 5th International Conference, Innovate-Data 2019, Proceedings},
pages = {133--141},
publisher = {Springer},
series = {Communications in Computer and Information Science (CCIS)},
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.},
note = {5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019 ; Conference date: 26-08-2019 Through 28-08-2019},
keywords = {Big data analytics, Business intelligence, Business model, Customer lifetime value, Decision making, Free to play, Game analytics, Online gaming industry},
pubstate = {published},
tppubtype = {inproceedings}
}
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.