Which data analytics technique has been most effective for transportation companies in reducing customer churn by predicting when regular riders might stop using their services?

In today's competitive transportation industry, data analytics has revolutionized how companies understand customer behavior and optimize operations. From ride-sharing services to public transit systems, transportation providers are leveraging consumer data to enhance service offerings and build customer loyalty. Test your knowledge about how transportation companies are using retail data analytics to transform their business models and create more personalized experiences.

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Descriptive analytics that categorize riders based on demographic information
Predictive churn modeling using machine learning algorithms that analyze usage patterns and service interactions
Geospatial mapping that visualizes popular routes and destinations
Real-time sentiment analysis of social media mentions and service reviews