Which mathematical modeling technique revolutionized retail customer segmentation in the 2010s by identifying hidden purchase pattern clusters that traditional demographic analysis missed?

The intersection of mathematics and retail marketing has created powerful tools for customer analysis and targeted campaigns. Statistical models, predictive algorithms, and data visualization techniques have transformed how retailers understand their customer base. This poll tests your knowledge about a groundbreaking mathematical approach that changed how retailers segment their customers for more effective marketing strategies.

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K-means clustering algorithms
Markov chain analysis
Bayesian network modeling
Monte Carlo simulation