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Decoding How Demand Data Can Inform Content Decisions: A Case Study of the Show Revenge in France

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Parrot Analytics Insights - January 2024

As an entertainment executive, you know how important it is to make informed content decisions that offer the greatest chance of success. This is where demand data comes in to provide valuable insights from audience demand. Let's take a closer look at how demand data for "Revenge" can help in making better decisions.

Firstly, content valuation is a critical part of making an informed decision. Using demand data, one can calculate the value of a specific title or library. Parrot Analytics's content valuation system uses demand data to reveal the dollar value contribution of any title, to any platform, in any region. Demand data enables the valuation of IP globally, answering crucial questions like, "how much is my show worth?" "What type of content exhibits opportunity to acquire or produce?" and "how much global appeal does this title have in comparison with other titles in the genre?" For "Revenge," the demand spike in late January 2024 for France suggests the potential for a higher valuation.

Acquisition decisions also require demand data. Parrot Analytics content valuation system can help in making decisions like, what should we produce or acquire to support global SVOD expansion? How effective is a marketing campaign around a show? How did the pre or post-premiere compare against other shows? Is a show part of the cultural zeitgeist? With "Revenge," its independent measure of global performance across six dimensions provides a unique insight into the show's momentum, longevity, and reach that can aid in acquisition decisions.

Distribution decisions, in terms of platform and network fit, can also benefit from demand data. For instance, which platforms should you target for distribution of a particular content? What can we learn about the current audience of a particular content to help us expand? By examining the top 10 most in-demand markets for "Revenge" over the last 30 days, we can identify the countries where a particular title performs well. The US, the UK, and South Africa had good audience demand, while Hong Kong, Russia, and Belgium had okay demand. Understanding in-demand markets can help in prioritizing and targeting the right platforms to distribute content.

Finally, programming decisions rely heavily on demand data. It can provide insights into audience tastes and preferences, content consumption, content discovery, and recommendations. For Revenge, knowing that its audience in France increased by 54.6% in January 2024 and that the demand for the drama genre ranks in the 93.6th percentile in France can help in determining the scheduling and programming lineup for a particular region. Moreover, by knowing similar shows that "Revenge" fans also like, such as "Chicago Fire," "Homeland," and "Breaking Bad," it offers scope for content curation, bundling, and programming based on audience preferences.

In conclusion, demand data can help with content valuation, acquisition, distribution, and programming decisions. The case of "Revenge" in France shows how an in-depth analysis of different dimensions of demand can help in making better content decisions. When used in conjunction with other sources of information, demand data can offer actionable insights to maximize the chances of success.

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