Demand data is a powerful tool that can help companies in the entertainment industry make better content, acquisition, distribution, and programming decisions. By analyzing the demand data of a title like "That's So Raven," companies can gain valuable insights and increase their likelihood of making successful decisions.
One way in which demand data can be used is through content valuation. By analyzing "That's So Raven's" demand data in the United States, we can determine the show's dollar value contribution to any platform in the region. We can also compare its demand against the average for all shows in the US. In February 2024, "That's So Raven" had demand that was 5.0 times the average show, suggesting that the show has a higher value than most.
Demand data can also be used to evaluate a show's performance and popularity. For example, we can see that "That's So Raven" achieved the peak rank of #1533 in the United States, and its audience demand has been decreasing recently. Additionally, "That's So Raven" ranks at the 91.2th percentile in the comedy genre in February, indicating that it has higher demand than most comedy titles in the US.
Companies in the entertainment industry can also use demand data to identify trends, such as which other shows are popular among fans of "That's So Raven." By knowing what else fans of a particular title are watching, companies can better understand their target audience and create content that appeals to them.
Demand data can also be used to make decisions about distribution and programming. By examining the top 10 global markets where "That's So Raven" is most in-demand over the last 30 days, companies can pinpoint which countries are best suited for distributing or airing the show. Companies can also use demand data to assess how well a show is holding up over time and whether it's worth investing in more content or promoting the existing content.
Overall, analyzing demand data can provide valuable insights and help companies in the entertainment industry make better decisions. By using demand data to evaluate content valuation, assess performance and popularity, identify trends, make decisions about distribution, and assess the show's longevity, companies can improve their chances of creating and distributing successful content.
