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Maximizing Content Decisions with Demand Data: A Look at 'Pennyworth' in France

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Parrot Analytics Insights - December 2023

For an entertainment executive looking to make informed programming or acquisition decisions, demand data can reveal valuable insights about the popularity of a given show, its trend over time, and how it compares to other titles in the same category. Using the example of "Pennyworth," we can see how demand data can inform content valuation and help executives make more informed decisions.

One way to use demand data is to calculate content valuation. Content valuation answers questions such as how much a show is worth, how much it contributes to a streaming platform's revenue, and what the value of a content library is. Content valuation can be done by looking at the dollar value contribution of a title, to any platform, in any region. By analyzing the demand for "Pennyworth," we can see that it has 3.6 times the audience demand of the average show in France over the last 30 days, suggesting that it has significant value. This information is valuable for executives looking to negotiate the price of this show.

Demand data can also help executives identify trends over time. For example, looking at the demand for "Pennyworth" over the past 90 days, we can see that it has been increasing recently. Combined with other data on the show, including its peak ranking in France and its position in the drama genre, we can use demand data to forecast how popular the show will be in the coming months.

Furthermore, tracking the performance of a show in different markets can reveal valuable insights to executives of distribution companies operating globally. In the case of "Pennyworth," the show has the highest demand in the United States, followed by Germany, and this information can be used by executives to negotiate deals with streamers in those countries or to explore further expansion opportunities.

Finally, demand data can reveal valuable insights for programming decisions such as which shows to renew, cancel, or license. In the case of "Pennyworth," executives can use demand data to identify other shows that fans of "Pennyworth" enjoy, like "The Walking Dead" and "Game of Thrones," to make informed decisions about scheduling, licensing, or commissioning similar shows.

In conclusion, demand data is an invaluable tool for entertainment executives working in a variety of roles within the industry. It can help them make more informed content, acquisition, or programming decisions by revealing insights that would have been invisible otherwise. By looking at the example of "Pennyworth," we can see how demand data can inform content valuation, reveal trends over time, and provide valuable insights for programming decisions.

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