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Content Valuation: Using Demand Data to Make Critical Decisions - Insights from Grey's Anatomy

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Parrot Analytics Insights - December 2023

As an entertainment executive, understanding audience demand through a comprehensive analysis of data is critical in making informed content acquisition, distribution, and programming decisions. One way to achieve this is through Parrot Analytics' content valuation system, which is powered by global content demand and supply.

Using "Grey's Anatomy" as a case study, we can see how audience demand data can provide critical insights for executives tasked with making decisions about a show's future. Firstly, the outstanding demand for this medical drama series is exceptional, and demand has increased by 13.2% in France alone in December 2023. By examining the top 10 global markets where "Grey's Anatomy" is most in-demand over the last 30 days, we can see how the show outperforms the demand of the average TV show in each of those markets.

Beyond understanding the global audience demand, Parrot Analytics' content valuation system can help executives determine a show's overall worth, its ability to drive engagement across the rest of the catalog, assuage cannibalization of audiences if a title is available on multiple services, and the value of exclusivity. For instance, by quantifying the platform-specific marginal revenue contribution and how a title drives engagement across the rest of the catalog, executives can determine how much to spend on a particular content or consider a content library's value to a platform over time.

Lastly, studying the show's metadata can help executives appreciate the sustained demand of "Grey's Anatomy" and ascertain the optimal release strategy, given that longevity is part of Parrot Analytics' content valuation system. In conclusion, understanding audience demand through demand data analysis is an essential tool for entertainment executives as it enables them to make informed decisions such as content acquisition, distribution, and programming decisions.

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