Which mathematical model is most commonly used in advanced customer lifetime value (CLV) calculations that account for purchase probability decay over time?

In the intersection of mathematics and retail, customer lifetime value (CLV) calculations are critical for strategic decision-making. These formulas help businesses quantify the total worth of a customer relationship and inform marketing budgets, retention strategies, and growth projections. Test your knowledge of how mathematical principles are applied to retail analytics with this challenging question about CLV modeling.

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Pareto/NBD (Negative Binomial Distribution) Model
Simple RFM (Recency, Frequency, Monetary) Analysis
Fibonacci Sequence Modeling
Monte Carlo Simulation without Markov Chains