As a TV executive, you are always looking to make informed decisions on content acquisition, programming, distribution, and valuation. Demand data is a powerful tool to help you make these decisions, and "Dickinson" provides a great example of how demand data can be used to analyze a show's performance.
Using demand data, we can see that "Dickinson" has been performing well in Brazil, with 4.5 times the audience demand of the average show in the country. Its audience demand has been increasing recently, with a 7.6% increase in December 2023 alone. Audience demand also spiked in late December 2023, indicating a potential trend for the show. Additionally, "Dickinson" ranks at the 98.3rd percentile in the romance genre in Brazil, indicating high demand compared to other romance titles.
"Travelability" measures a show's international demand relative to its home market. Although "Dickinson" was broadcast in the United States, we can tell that it has good demand in Brazil, which is ranked second in the global market demand. China, Canada, the United Kingdom, Italy, Poland, France, and Australia all have good demand for the series as well. This information can help guide your distribution decisions, such as how and where to promote the show and a potential release date strategy.
Furthermore, Parrot Analytics' six dimensions metric can help evaluate the show's performance globally. These metrics include audience demand, travelability, longevity, momentum, franchisability, and reach. For "Dickinson," its global audience demand is good, which means that the show is being watched across different platforms. Its longevity and momentum are also good, indicating that the show's popularity is consistent. The show's franchisability and reach are also good, with potential opportunities for spin-off content.
By comparing the performance of "Dickinson" on a 1 year rolling basis versus the last 30 days, we can see that the show's popularity has increased by 2.5%. This growth could be attributed to a number of factors, such as a renewed interest in the show due to a holiday release, or increasing awareness through a well-placed marketing campaign.
Ultimately, analyzing "Dickinson" using demand data provides valuable insights into the show's performance and can help guide your content decisions. For example, if you're looking to acquire content for your platform and are considering "Dickinson," you can determine its value using Parrot Analytics' content valuation system. By quantifying the show's specific marginal revenue contribution and how it drives engagement with the rest of your catalog, you can make a more informed decision. Demand data can also help inform your programming decisions, such as deciding which titles should be promoted or marketed more heavily.
