Which mathematical modeling technique was first widely adopted by retailers in the 1990s to predict customer churn and is now considered the foundation of modern retention analytics?

Retail analytics has transformed how businesses make decisions, with mathematical models at its core. Before modern algorithms and big data, retail decisions were often based on intuition rather than science. One mathematical innovation in particular revolutionized how retailers predict customer behavior and reduce churn. This poll tests your knowledge about the breakthrough mathematical technique that changed the retail analytics landscape and is now fundamental to customer retention strategies.

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Logistic Regression
Monte Carlo Simulation
Fourier Transforms
Simplex Optimization