A global entertainment platform was provided with deep, actionable insights into their users’ varying levels of engagement through Principal Component Analysis.
A global entertainment platform was provided with deep, actionable insights into their users’ varying levels of engagement through Principal Component Analysis.
A leading global entertainment platform client grappled with the challenge of deeply understanding their diverse user base. Traditional user segmentation methods, relying on a limited set of variables, proved inadequate for comprehensively capturing the intricacies of user behavior and preferences. The client required a more sophisticated approach to dissect the multitude of potential influencing factors and gain actionable insights into their users’ engagement levels.
To address this complexity, our team employed a combination of Principal Component Analysis (PCA) and cluster analysis. PCA streamlined the data by reducing dimensions, and cluster analysis grouped users into distinct segments based on engagement levels. Initially, this approach was met with some confusion on the part of the client due to the abstract nature of the PCA components. However, through dedicated client education, the significance of these new, nuanced dimensions was clarified and the value of the approach became understood by the client as emphasizing the PCA components’ role as indicators of varying engagement levels.
This strategic analytical approach enabled the client to develop and implement targeted interventions, tailored to unique engagement clusters. Consequently, the client’s customers experienced enhanced user experiences and benefited from more effective engagement strategies, showcasing the power of advanced analytics in understanding and influencing complex user behaviors.
