Which data analytics approach has been most effective for major mathematics textbook publishers in reducing student churn to open-source alternatives?

Educational publishers use sophisticated data analytics to optimize textbook pricing and adoption rates. In recent years, the mathematics textbook market has seen significant changes due to digital transformation and open educational resources. This poll tests your knowledge of how publishers are using consumer data analytics to respond to these market challenges.

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Personalized pricing algorithms based on student financial aid profiles
Usage pattern analysis to identify challenging concepts that need improved explanations
Social media sentiment analysis to shape marketing campaigns
Institutional purchasing pattern analysis to create bulk discount thresholds