Which data analytics approach revolutionized Broadway ticket pricing in the 2010s, leading to record-breaking revenue for shows like 'Hamilton' and 'The Lion King'?

In today's competitive performing arts landscape, venues and production companies increasingly rely on sophisticated data analytics to maximize revenues and enhance audience experiences. From Broadway to local theaters, these analytical tools help predict ticket sales, optimize pricing, and create personalized marketing campaigns. How well do you understand the data-driven side of the performing arts industry? Test your knowledge about the intersection of analytics and artistic expression!

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Dynamic pricing algorithms that adjust ticket costs based on demand patterns, day of week, and seat location
Fixed subscription models that guarantee theaters 80% capacity regardless of individual show popularity
Social media sentiment analysis that determines ticket prices based on Twitter and Instagram mentions
Geographic heat mapping that prices tickets based solely on the wealth demographics of audience zip codes