As an entertainment executive, there are various ways in which demand data can help you make more informed decisions about content creation, acquisition, distribution, and programming. Using the example of popular TV series "Rick And Morty," we can see how demand data can be applied to this specific show.
One of the key ways demand data can be useful is in content valuation. Using demand data, you can calculate the value of a specific content title to a particular platform, region, or audience. For "Rick And Morty," we can see that the show has exceptional demand in the United States and internationally, with a worldwide audience demand across all platforms that is exceptional. This is valuable information for network executives, as it highlights the show's potential value for both current and potential distribution partners.
Additionally, by examining the top 10 global markets where "Rick And Morty" is most in-demand over the last 30 days, we can see that the show performs better than the average TV show in each of these markets. This means that there could be new opportunities for distribution or localization in these markets, as there is an existing fan base.
Demand data can also inform decisions around programming, content creation, and acquisition. By analyzing the shows that are most popular with "Rick And Morty" fans (such as "Family Guy" and "The Mandalorian"), executives can identify similar content that could be of interest to this audience. Similarly, knowing that demand for the show has been increasing recently, executives might consider opportunities to extend the brand through merchandise, spin-offs or live events to build on this momentum.
Leveraging demand data for decision-making can also help with audience acquisition and retention. In the case of "Rick And Morty," executives can use demand data to understand what genres are resonating with the show's current audience. This insight could inform programming decisions for other shows on the network and help attract new subscribers to an SVOD service. Alternatively, analyzing the show's performance over a longer time period using demand data could help identify under-monetized titles in the network's library, or even highlight the need for new shows in specific genres.
Finally, demand data can help with decisions around marketing and pricing. By understanding the trajectory of demand data over time, executives can optimize release strategies and identify patterns around peak demands for specific titles. In the case of "Rick And Morty," we can see that demand spiked in late July 2023 in the United States, which could influence marketing decisions surrounding the show's upcoming season.
In conclusion, demand data can help entertainment executives across a variety of areas, from content valuation to audience acquisition and retention. Using the example of "Rick And Morty," we can see how demand data can be used to inform programming, marketing, and distribution decisions, contributing to the creation of more informed, data-driven strategic decisions.
