Which of the following customer behaviors is statistically the strongest predictor of imminent customer churn in retail subscription services?

Retail churn prediction is a critical aspect of business intelligence that helps companies identify customers at risk of leaving before they actually do. Understanding the early warning signs and key indicators of potential churn can save businesses millions in lost revenue. This trivia tests your knowledge of the sophisticated data science behind predicting when customers might walk away from a brand.

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Decrease in average order value by more than 15% over two consecutive purchase cycles
Reduction in usage frequency or engagement with the service/platform during the last 30 days of subscription
Multiple contacts with customer service about billing issues within a single billing cycle
Failure to use newly introduced premium features after being a customer for more than 6 months