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How Parrot Analytics' Demand Data Helps Entertainment Executives Make Informed Decisions: Insights from The White Lotus Demand Analysis in Spain.

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Parrot Analytics Insights - January 2024

Parrot Analytics can provide entertainment executives with invaluable insights to make more informed decisions about content, acquisitions, distribution, and programming in the ever-changing entertainment industry. Demand data is a vital component for entertainment executives as they navigate decisions around producing engaging content to reach their target audiences. The show "The White Lotus" can provide us with an insight about how executives can leverage data analytics towards more informed decision making.

One of the key questions that entertainment executives grapple with is whether a show is worth the investment. With demand data, executives can understand the show's economic value and compare it with the industry standards. In the case of "The White Lotus," we see that the show generates 7.8 times, and 6.7 times the average title demand in Spain over the last 30 days and 90 days, making it significantly more in demand than the average show in Spain. Such information can help entertainment executives to value their show against others that are being streamed in Spain. Furthermore, executives can use the demand data to track the show's performance over time and decide on the optimum production or acquisition budget.

Another critical question that arises is what genres are audiences most interested in, globally and regionally. Demand data can help determine this by comparing a show's demand with other comedy titles in Spain and across the globe. For instance, "The White Lotus" ranks in the 99th percentile in the comedy genre, and its audience demand has risen recently by 31.7%, a good performance indicating that the show's comedy genre resonates well with Spanish audiences. Such data can help executives to gauge the genre's demand and create content that caters to Spanish viewers' preferences.

The demand data can also provide executives with insights into creating content that resonates with particular audiences, by identifying the shows that fans of a show are interested in. Based on the data presented, we can see that fans of "The White Lotus" also like "Succession," "Ted Lasso," and "House Of The Dragon," among other titles. This information can help content providers produce content that caters to specific audiences based on their preferences and viewing habits.

Moreover, the demand data can also help executives make informed acquisition decisions by identifying the numbers of viewers and their preferences. For example, knowing that "The White Lotus" is significant in demand across various countries, such as Canada, the United Kingdom, France, Russia, Israel, Brazil, Australia, and the Netherlands, can help executives to strategize for global SVOD expansion and allocate funding towards future content investments accordingly.

Finally, the demand data can provide insights and predictions on how well a show will perform over time. In the case of "The White Lotus," its longevity and momentum are currently outstanding and okay, respectively, based on audience demand, which is refreshing for executives and content creators, as it certainly indicating that the show has staying power. Knowing that a show has audience demand over its life span can prepare executives for any future marketing campaigns they may need to execute and help to attract or retain viewers.

In conclusion, demand data is an essential tool that entertainment executives require to make informed decisions. The demand data from "The White Lotus" provides an excellent model showcasing the wide-ranging possibilities to leverage demand data to guide executives in content decisions by increasing their understanding of viewership preferences, production quality, financial value, and the potential reach of the target markets.

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