Which mathematical model is most commonly used in advanced retail analytics to predict customer lifetime value when dealing with variable repurchase rates?

In the world of mathematics and retail analytics, certain numerical patterns and formulas have revolutionized how companies calculate and optimize customer lifetime value (CLV). This poll explores how mathematical principles are integrated into modern retail algorithms to predict customer behavior and maximize long-term profitability. Test your knowledge about the intersection of mathematics and retail analytics!

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Pareto/NBD (Negative Binomial Distribution) Model
Simple Historical Average Model
Linear Regression Forecast Model
Fibonacci Sequence Projection Model