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Using Demand Data to Make Informed Decisions: A Case Study on The Big Bang Theory

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Parrot Analytics Insights - January 2024

The success of "The Big Bang Theory" in January 2024 in Brazil, as evidenced by audience demand data, shows how important it is to use demand data to make more informed decisions in the entertainment industry. Understanding both the local and global audience demand for a show can help entertainment executives make informed content, acquisition, distribution, and programming decisions.

Using demand data for a series like "The Big Bang Theory" can enable content valuation. Entertainment executives can use demand data to determine how valuable a TV show or library is and how much should be spent on specific titles or an entire library. Parrot Analytics' content valuation system, which is based on global content demand and supply, can reveal the dollar value contribution of any title to any platform in any region.

By examining the demand data for "The Big Bang Theory," executives can answer many questions, such as how much a series is worth, its ability to drive subscriptions, and how it ranks against other TV shows. This data can also show which platforms they should target for distribution of their content, what type of content is most popular in specific markets, and what shows will help them acquire or retain subscribers.

In the case of "The Big Bang Theory," executives can examine the show's peak rank, which was #3 in Brazil in January, and note that it moved up in its rank by seven spots during the month. Its audience demand is outstanding, with 24.3 times the demand of the average show in Brazil. Its audience demand has also been increasing recently. Executives can also examine audience taste clusters to determine what other shows fans of "The Big Bang Theory" also like. In this instance, these shows are "Young Sheldon," "Futurama," "The Simpsons," and several others.

Demand data can be used to determine global performance across six dimensions, including audience demand across all platforms, travelability, longevity, momentum, franchisability, and reach. For "The Big Bang Theory" in Brazil, its demand was 59% of the demand in its home market, the United States. Its travelability is exceptional, meaning its international demand is strong relative to its home market. Its longevity and momentum are also exceptional, and its franchisability and reach are both outstanding.

Entertainment executives can also compare the performance of a TV show on a rolling basis versus the last 30 days. Examining the demand data for "The Big Bang Theory" reveals that its average demand on a rolling year basis was 22.0 times the average title, compared to 24.3 times the title average for the last 30 days. This indicates that the show has increased in popularity.

In conclusion, demand data can provide entertainment executives with valuable insights into what content is most popular, where it is most popular, and how to position it to drive subscriptions and mitigate churn. By leveraging demand data, executives can also make more informed content, acquisition, distribution, and programming decisions to ensure the success of their organizations.

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