As a TV executive, demand data is a valuable tool that can be used to make more informed content, acquisition, distribution, and programming decisions. Using "American Horror Story" as an example, demand data can help us understand the show's performance in Italy and globally, and provide us with insights into audience preferences.
One of the ways to use demand data is to help with content valuation. From the analysis provided, "American Horror Story" has been found to be in the 99.9th percentile in the drama genre, indicating it has higher demand than 99.9% of all drama shows in Italy. These metrics and ratings will allow us to determine how much the TV series is worth, its unique value proposition, and how it fits into the platform's content strategy.
We can also use demand data to assess the performance of a show in specific markets. For example, we see that the United States is "American Horror Story"'s number one market globally, with outstanding audience demand of 17.9x. This insight can be used to target the show's marketing efforts in the US to increase audience engagement.
Another way to use demand data is to gauge a show's popularity and engagement levels. "American Horror Story" has a demand of 13.6 times the average show in Italy over the last 30 days. Although demand for this show has been decreasing in Italy during January, we see that in late January, demand spiked, indicating that there may be a specific event that caused this increase in demand. This understanding of spikes in demand can be used to optimize our marketing and distribution strategies concerning a series.
Demand data can also be useful in understanding audience preferences and behaviors. Using the top 10 global markets where "American Horror Story" is most in-demand, we see that the show outperforms the demand of the average TV show in each of these markets, demonstrating that its appeal is widespread across different demographic groups.
In addition to the points mentioned above, demand data can help us answer important questions such as how to optimize release strategies, assess the value of exclusivity, understand profitable genres, quantify ROI, and much more. This data is valuable in helping TV executives make more informed, data-driven decisions about the content they develop, acquire, distribute, and program.
