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Using Demand Data to Make More Informed Decisions in the Entertainment Industry: A Case Study of 'Years And Years'

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Parrot Analytics Insights - December 2023

As a TV executive, using demand data can help you make more informed decisions about your content, acquisition, distribution, and programming. "Years And Years" is a great example of how demand data can be used to gain insights and make decisions about a TV series. Let's explore the potential of demand data using the information provided.

Content Valuation: Evaluating the value of a TV series

Parrot Analytics calculates the economic value of content for any platform based on global content demand and supply, which can help determine how much to spend on content to maximize ROI. In the case of "Years And Years," we can use demand data to determine its economic value in Brazil. The show has 2.9 times the audience demand of the average TV show in Brazil over the last 30 days and ranks at the 96.4th percentile in the family genre. Further analysis could be carried out to assess the value of "Years And Years" over time, taking engagement, viewership and social media engagement into consideration. Additionally, demand data can help quantify the value of exclusivity, the value of an entire library to a platform, and the baseline value of a title.

Acquisition and Distribution: Choosing the right content

Demand data allows you to estimate the return on investment of acquiring or producing a given title. By analyzing demand data for "Years And Years," it seems like a worthy investment. The show has good demand in Brazil, ranking 96.4% in the family genre. Additionally, understanding how well the show is doing in specific regions like Spain, China, Argentina, Russia, the UK, France, Brazil, Ukraine, and the US can help identify new opportunity markets for content distribution. Travelability data can also inform decisions on which content could support global SVOD expansion, gamification, and transmedia.

Programming: Optimizing schedule, marketing and release strategy

Demand data can help program and schedule content based on audience demand, optimize pre-release, and post-release marketing campaign strategies to attract a specific audience and keep them engaged. For "Years And Years," we see that demand spiked in late December 2023 for Brazil, revealing a potential opportunity to boost demand during this time. Additionally, understanding the popularity of other titles that fans of "Years And Years" also like, like "The Last Of Us", "The Office (US)", "House Of Cards", "Rick And Morty", "After Life", "Better Call Saul", "Silicon Valley", "Doctor Who (2005)", and "The Mandalorian," can help inform programming and marketing strategies. Furthermore, affinity analysis can assist in discovering collaboration opportunities with creators or brands that have a similar audience.

Subscriber Acquisition and Retention: Keeping audiences engaged

Demand data can help assess a TV series' ability to drive subscriptions and retain audiences by answering questions like: Which titles should you buy to keep your current audience happy? Which titles should you buy to grow your audience? At least 8.6% of all TV shows enjoy the same level of demand as "Years And Years" in Brazil, indicating the competition is strong. By examining the show's performance on a rolling year basis versus the last 30 days, we can understand how well the show is doing, indicating we can make more informed content, acquisition, or programming decisions. Leveraging demand data can also help map local whitespaces to identify the most popular genres in a particular market and answer questions on content resonance with an audience.

In conclusion, demand data occupies a central role in evaluating content and making data-driven decisions about content. The use of demand data only continues to grow in popularity in the entertainment industry, as it provides valuable insights into what is resonating most with audiences globally and regionally. By contextualizing the data from "Years And Years," we can see that the show has good demand in Brazil, and executives can make informed decisions about investing in the series based on the insights from the data.

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