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Powering Content Valuation: How Demand Data Can Help Entertainment Executives Make Informed Decisions Using 'Miracle Workers' as a Case Study

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Parrot Analytics Insights - September 2023

As an entertainment executive, leveraging demand data can provide insightful information that can inform decisions about content valuation and help make informed decisions about content strategy, programming, acquisitions, and distribution. The case study on the performance of "Miracle Workers" in September in Australia provides examples of how demand data can provide valuable insights.

Firstly, demand data can be used for content valuation, answering questions like, "How much is my series worth?" and "How is my series performing as an acquisition-driving or churn-reducing title?" The high demand for "Miracle Workers," which is 9.8 times the average show in Australia over the last 30 days, makes it a high-value series. Furthermore, its demand is 2.7% of all TV shows, making it rare. The increase in demand since the last 90 days reveals it is on an upward trend. Additionally, by using Parrot Analytics' economic valuation system, its dollar value contribution to any platform in any region can be calculated.

Secondly, using demand data, one can determine preferences and behaviors in the market, such as what is most popular on a global scale. For example, analysis of "Miracle Workers" revealed that it was performing well in the romance genre, ranking in the 99.7th percentile in Australia over the past month. This insight can help executives tailor content to the tastes of their audience.

Thirdly, demand data can provide competitive benchmarking and inform pre-release marketing, helping executives optimize their marketing campaigns for content and giving them an idea of how well their marketing efforts are performing. For example, comparing "Miracle Workers" demand to that of other shows that fans of "Miracle Workers" enjoyed, such as "Only Murders In The Building," can provide competitive benchmarking insights.

Fourthly, it can give insights around retention and acquisition of subscribers. In the case of "Miracle Workers," understanding its peak demand as 10.8 times the average in the last 30 days can provide insights on how content acquisition can help retain subscribers and attract new ones. Additionally, the analysis of the show's demand relative to its home market (United States) can provide insights on travelability and how it can perform in other markets.

Lastly, demand data can identify untapped markets and under-monetized titles, providing a wealth of opportunities for executives. For example, understanding the locations around the world where "Miracle Workers" is most in-demand can help executives identify territories where the content is under-monetized and develop strategies to expand there.

In conclusion, leveraging demand data can help entertainment executives make more informed decisions about content valuation, content strategy, programming, acquisitions, and distribution. The case study of "Miracle Workers" in September in Australia serves as an example of how demand data can provide valuable insights throughout the content value chain.

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