Market Segmentation

Also known as: Consumer Segmentation, Audience Segmentation, Cluster Analysis

Division of the market into consumer groups with similar needs, characteristics, or behaviors to personalize marketing strategies.

Market Segmentation is the process of dividing a heterogeneous market into smaller, homogeneous groups of consumers sharing similar characteristics, needs, or behaviors, with the goal of designing more effective and personalized marketing strategies.

Main types: demographic (age, gender, income), psychographic (values, lifestyles), behavioral (usage frequency, loyalty, occasions), and geographic. The most sophisticated—and actionable—segmentations are attitudinal-behavioral ones combining multiple variables.

Most common statistical techniques for building segmentations: cluster analysis (K-means, hierarchical), principal component analysis, and Gaussian mixture models. With AI, more sophisticated and predictive segmentations are possible.

Atlantia develops AI-powered segmentations integrating survey data with transactional and digital behavioral data for greater predictive power.