Market Segmentation Analysis of the Video Games Industry

Targeting unique segments in today's competitive video game market has become not only a necessity, but is a prominent reality. Thus, the need to implement an informative cluster analysis has become a critical aspect of business. This book sets out to identify the degree of similarity and/or dissimilarity amongst operating gamer segments in USA, Japan and Europe based on sales and product characteristics, hence a two - step market segmentation analysis was implemented. Firstly, a dendrogram of each market was constructed through hierarchical clustering. The distance metric was created using Euclidean distance, while the linkage which gave the most informative results was Ward's minimum - variance. The second step involved implementing k - means clustering on the larger population by using the lowest Root-Mean-Square (RMS) Standard Deviation and significant ANOVA (p0.001) outcomes. As a result, this analytical investigation resulted in informative cluster and gamer profiles. The analysis should be especially useful to professionals in marketing and analytics, or anyone who may be considering contributing further to clustering the video game markets in these countries.

Autorentext

Akshayjit Singh Narula, MSc: Marketing Analytics and Management Science na Universidade de Lancaster, MBA: Universidade de Manipal. Jogador de basquetebol e golfe, cresceu nos EUA e viveu na Índia e no Reino Unido. Atualmente, trabalha como Gestor Sénior - Marketing na International Luxury, na Índia.

Klappentext

Targeting unique segments in today s competitive video game market has become not only a necessity, but is a prominent reality. Thus, the need to implement an informative cluster analysis has become a critical aspect of business. This book sets out to identify the degree of similarity and/or dissimilarity amongst operating gamer segments in USA, Japan and Europe based on sales and product characteristics, hence a two step market segmentation analysis was implemented. Firstly, a dendrogram of each market was constructed through hierarchical clustering. The distance metric was created using Euclidean distance, while the linkage which gave the most informative results was Ward s minimum variance. The second step involved implementing k means clustering on the larger population by using the lowest Root-Mean-Square (RMS) Standard Deviation and significant ANOVA (p<0.001) outcomes. As a result, this analytical investigation resulted in informative cluster and gamer profiles. The analysis should be especially useful to professionals in marketing and analytics, or anyone who may be considering contributing further to clustering the video game markets in these countries.