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Segmentation

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.

MaxDiff analysis

The MaxDiff methodology in market research quantifies the most influential product features by forcing choices through a trade-off method, providing a more nuanced ranking of importance than direct questioning.

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MaxDiff analysis

Transactional data analysis

Prioritizing customer feedback over transactional data aids in accurate predictions. Analyzing data correlations using machine learning refines market strategies, but past data has its limitations.

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Transactional data analysis

Conjoint analysis

Conjoint is an elite pricing tool that gauges consumer preferences and product elasticity. Its simulator identifies optimal pricing for maximum profit.

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Conjoint analysis

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.