Which mathematical model is most commonly used by advanced retailers to predict customer lifetime value (CLV) when accounting for varying purchase intervals?

Retail businesses increasingly rely on sophisticated mathematical models to understand customer behavior and optimize operations. The intersection of mathematics and retail analytics has led to revolutionary approaches in predicting customer lifetime value (CLV), a critical metric for business strategy. Test your knowledge about how mathematical concepts are applied in calculating this essential retail metric!

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Pareto/NBD (Negative Binomial Distribution) model
Simple linear regression model
Monte Carlo simulation with fixed intervals
Bernoulli process averaging