No risk, no fun : implications for positioning of online casinos

Abstract

This study uses textual content analysis of online casinos to provide insights into how operators position themselves in the market. Qualitative data from the About Us pages of 19 online gambling websites is gathered and analysed using DICTION software. The resulting z-scores are further analysed using the Hierarchical Clustering on Principal Components (HCPC) function in the FactoMineR software package. Results indicate that the casinos investigated group into three distinct and meaningful clusters (activity/realism; low certainty; high certainty). The results confirm that this exploratory methodology, which combines computerized lexical analysis using DICTION and HCPC, is able to identify positioning differences. In addition, the presence of a relationship between identified clusters and casino rankings is also considered. Its confirmation suggests that casinos that emphasize risk (low certainty) are more likely to obtain higher rankings. The Web has provided a platform for a global online gambling industry where differentiation and positioning is crucial. Therefore, managers need to emphasize in their online and offline communication the often-held perception that one of the attractions of gambling is the thrill or excitement of beating the odds. Limitations are noted and possible areas for further research are indicated.