When it comes to content decisions, entertainment executives can rely on demand data to make informed choices. Looking at a key example, we can see how this data can be utilized to help make decisions about content acquisition and distribution. Using Money Heist (La Casa De Papel) as an example, we can see that the show has 5.1 times the audience demand of the average show in Canada over the last 30 days. Demand for this show is increasing recently and it has achieved the peak rank of #513 in Canada.
Now let's move onto the genre, which is an essential factor that can influence content valuation. In October 2023, "Money Heist (La Casa De Papel)" ranks at the 98.3rd percentile in the romance genre in Canada. This means it has higher demand than 98.3% of all romance titles in Canada. Executives can see that the show's audience demand has increased by 5.6% in Canada in October and that the demand spiked in late October.
By analyzing the top 10 global markets where "Money Heist (La Casa De Papel)" is most in-demand over the last 30 days, we can see that this TV series outperforms the demand of the average TV show in each of these markets. India is "Money Heist (La Casa De Papel)"'s number one market globally with the show achieving an outstanding audience demand of 20.8x in India, followed by Spain where demand is outstanding. Other markets where "Money Heist (La Casa De Papel)" has high demand include Russia, China, France, Ukraine, Pakistan, the United States, and the world as a whole.
Using this data, executives can make informed decisions about content valuation and acquisition. For instance, they might decide to focus on acquiring content that is similar to "Money Heist (La Casa De Papel)" or on acquiring content that is popular in the same markets where "Money Heist (La Casa De Papel)" is also popular. They might also decide to distribute the show more heavily in the markets where it is most in-demand or to invest more heavily in the show.
Overall, demand data is a powerful tool that entertainment executives can use to make informed content decisions. The data can be used to determine how much to spend on content, which type(s) of content exhibit opportunity to acquire or produce, how to optimize a marketing campaign ahead of premiere, and how to ensure content is being seen by the right audience on a platform. By analyzing demand data, executives can determine which content has the most potential for valuing IP globally, reaching new audiences, and retaining current subscribers.
