In retail churn prediction models, which metric is considered the strongest individual predictor of potential customer departure in subscription-based businesses?

Customer churn—the silent killer of retail profitability—costs businesses billions annually. Modern predictive analytics has transformed how companies identify at-risk customers before they leave. This trivia question tests your knowledge about a key metric used in advanced churn prediction models that has revolutionized customer retention strategies in the retail sector. Do you understand the data science behind keeping customers loyal?

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Recency of last purchase (days since last transaction)
Negative sentiment frequency in customer service interactions
Declining engagement frequency with digital touchpoints
Total lifetime spend compared to customer cohort average