For entertainment executives looking to make more informed content, acquisition, distribution, or programming decisions, demand data can be a valuable tool. Let's use the example of "Pokémon" in the United Kingdom for the month of February 2024 to understand how demand data can help decision-making.
Firstly, we can see that "Pokémon" has an outstanding level of demand in the United Kingdom. It ranks at the 99.5th percentile in the adventure genre, which is higher than 99.5% of all adventure titles in the country. Additionally, the show achieved the peak rank of #50 in the United Kingdom, moving up ten spots during February. By examining the top 10 global markets where "Pokémon" is most in-demand over the last 30 days, we find that this TV series outperforms the demand of the average TV show (1x) in each of these markets.
Furthermore, the demand is exceptionally high in "Pokémon"'s home market of Japan, and 90% of the demand in Japan is matched in the United Kingdom. It means the show is widely popular and has outstanding travelability.
By looking at the show's audience demand over a year, we can identify patterns also for understanding whether the show has increased or decreased in popularity. For "Pokémon," the show saw increased popularity by 15.8% in the last 30 days. This insight can inform decisions related to programming or content acquisition.
Demand data not only showcases the current demand level of a piece of content but also highlights fan affinity and potential opportunities for future partnerships. For this specific case, the Parrot Pulse for "Pokémon" provided insights across six dimensions: audience demand, travelability, longevity, momentum, franchisability, and reach. This tool showed that "Pokémon" has outstanding performance in each dimension, which demonstrates that the show has the potential to deliver superior value to the right partners in various countries.
In summary, demand data helps entertainment executives make data-backed decisions throughout the content value chain. Data analysis makes it possible for teams to develop content strategies that will drive engagement and build a loyal subscriber base. As seen in the example of "Pokémon," using demand data to evaluate content can inform acquisition, distribution, programming or content valuation decisions.
