Research on the Commercial Application of Video Games Based on Data Analysis

DOI

10.2991/aebmr.k.220307.031How to use a DOI?

Keywords

Video game; data analysis; business strategy; K-Means

Abstract

In recent years, the video game market is favored by users and capital, and the number of video game products is showing an exponential growth trend. In the face of the massive video game products, how to use reasonable marketing strategies to increase product revenue, and how to choose products to get more benefits from users are important issues to be tackled. In the era of big data, the combination of data analysis technology for video game business research can get large-scale, diversified, personalized, and real-time research results, and is more conducive to the mining of various data information of users. In this paper, the author crawls vgchartz.com to collect video game data samples. The statistical processing and exploratory analysis are mainly performed on the data of game product distribution platforms, genres, and years of distribution. The K-Means algorithm is used to classify the game products according to sales, and the corresponding business strategies are proposed for platforms, publishers, and users in the context of the market. The results show that platforms can prioritize the purchase of games in the ‘Action’ genre, and need to pay attention to game releases that focus more on quality than quantity; publishers should choose platforms and game genres with high sales to sell and invent; users should focus on platforms with high sales and experience to choose a certain type of game products. This study can stimulate the marketing and economy and make the market enter a virtuous cycle.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Yu Xiao
PY  - 2022
DA  - 2022/03/26
TI  - Research on the Commercial Application of Video Games Based on Data Analysis
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 199
EP  - 204
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.031
DO  - 10.2991/aebmr.k.220307.031
ID  - Xiao2022
ER  -