Segmentation or cluster analysis is a crucial technique in marketing that divides a group of diverse people or companies into smaller, more homogenous segments based on various characteristics and criteria. Segmentation analysis aims to understand better and target specific customer groups. Through segmentation, businesses can tailor their products, services, and marketing strategies to meet each segment's unique needs and preferences. At boobook, we use various analytical segmentation methods, such as latent class clustering, Hierarchical Bayes clustering, Cluster Ensemble, K-means, etc. The data, as well as the required outcome, drive method choice. Apart from choosing the most potent methodology, we also pay a lot of attention to ensuring the segments can be tackled by various business teams, a challenge which many segmentation exercises fail upon.
Our trusted
methodologies
At boobook, our core values shape our culture and drive our approach to solving complex business problems. These values are the foundation of our success and define who we are as a team.
Decision tree analysis
Decision tree analysis is a versatile tool in data analysis and machine learning that graphically models decision-making factors, commonly employed to segment customers based on their likelihood to purchase a product.
Make better
business decisions
Explore our success stories and learn how we've successfully helped different businesses. Or get in touch with us to schedule an introductory call.
