As a television executive, you may be interested in acquiring, distributing, or producing content that will perform well with your target audience. By analyzing the demand data of a show like "Taken," you can gain valuable insights that can inform your content-related decisions.
One of the primary use cases for demand data is content valuation. In other words, demand data can help you determine how much a particular title is worth and how much it can contribute to your platform's growth. Taking "Taken" as an example, the show has 12.3 times the audience demand of the average show in the United States over the last 30 days. This indicates that the show has exceptional demand, with only 2.7% of all TV shows achieving this level of demand. Comparing its demand of 12.2 times the average over the last 90 days, we can note that its demand has been increasing recently.
Demand data can also help you understand which audiences are engaging most with a particular show or genre. For example, the Parrot Pulse ratings show that "Taken" ranks at the 97.6th percentile in the drama genre in October, meaning it has higher demand than 97.6% of all other drama titles in the United States. This information can help you identify which audience segments are most interested in this content and use that knowledge to inform strategy.
Demand data can also help you assess the potential value that a show can bring to your platform. You can use the data to quantify the platform-specific marginal revenue contribution and assess how a title drives engagement across the rest of the catalog. For "Taken", we can see that the show has strong global appeal, excellent momentum with a good pace of growth across six dimensions and a potential spin-off value. By examining the top 10 global markets where "Taken" is performing most in-demand over the last 30 days, we can discern the show's top-performing regions and insights can be gained for better regional targeting and pricing optimization.
Demand Data can also help you identify opportunities to acquire or produce new content. For example, understanding that some other shows that fans of "Taken" also like are "The Good Doctor", "Strike Back," "Killing Eve," and "Manifest" can help to develop more content that will resonate with fans of "Taken".
Lastly, Demand data can help you with subscriber acquisition and retention. You can use the data to identify which titles should be acquired to keep your current audience happy, as well as which titles can attract new subscribers to your platform. The use of demand data in making programming decisions ultimately results in better audience engagement and promotes growth.
