As an entertainment executive, you can leverage demand data to make more informed content acquisition and distribution decisions. Take the example of "Noragami", a Japanese anime series that has been released globally. Over the last 30 days, audience demand for the show in the United Kingdom was 3.5 times higher than the average TV show. Thus, content valuation using demand data can help you gauge the worth of a show for distribution or acquisition.
If you're an OTT platform, the demand data for "Noragami" shows that comedy is a unique sub-genre with significant demand. The show is ranked at the 94.9th percentile in the comedy genre, which suggests that adding more comedy content to your platform could drive considerable audience demand over time. Moreover, "Noragami" enjoyed higher than average demand in several countries, making it a good choice for international expansion strategies.
You can also use demand data to understand the show's audience preferences by examining the top 10 global markets. In the case of "Noragami," it's most in-demand in Japan. This trend indicates an opportunity to acquire other Japanese anime shows, targeting young and adult audiences. Further, the show's global performance can help you set the right expectations around the show's spin-off potential or even its ability to drive sales for merchandise.
Demand data helps you optimize distribution decisions, too, such as choosing the best release strategy. Globally, "Noragami" had a peak demand of 8.4 times the average over the last year. In the last 30 days, the peak demand for the show was 8.8 times the average, indicating that implementing a specific release strategy such as making all episodes available at once, for example, can increase demand and engagement of the show.
Finally, with demand data, you can know what are the related shows that Noragami fans love, such as "Rick And Morty" and "The Mandalorian". This information can help you plan future production ideas or even secure spin-off deals.
In short, you can leverage demand data to make cost-effective content acquisition decisions, inform distribution strategy, and guide investment in new and existing content. It can also be used to optimize production decisions by gathering insights on audience preferences, the best release strategy, and franchises' feasibility.
