Which predictive analytics model, introduced in 2006, revolutionized retail churn prediction by allowing businesses to calculate a customer's probability of making future purchases?

In today's competitive retail landscape, businesses are leveraging advanced analytics to reduce customer churn and maximize lifetime value. Predictive analytics has transformed how retailers anticipate customer behavior and implement retention strategies. This poll tests your knowledge about a groundbreaking retail analytics innovation that changed how businesses approach customer retention.

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RFM (Recency, Frequency, Monetary) Analysis
BG/NBD (Beta-Geometric/Negative Binomial Distribution) Model
ARPU (Average Revenue Per User) Forecasting
Pareto/NBD with Gamma-Gamma Model (Buy 'Til You Die)