As an entertainment executive, demand data can be a powerful tool to help you make informed decisions about content acquisition, programming, and distribution. Let's take the example of "Saturday Night Live" in France during March 2024 and see how demand data can help us in decision making.
The first question that demand data can answer is, "What type of content is most popular in the local market or on a global scale?" In the case of "Saturday Night Live," the show's demand was exceptional in France during March 2024, compared to the average show in France. It also achieved peak demand, moving up in its rank, and had higher demand than 100.0% of all comedy titles in France. Moreover, other shows that fans of "Saturday Night Live" also enjoyed, including "The Mandalorian," "The Simpsons," and "True Detective."
The second question that demand data can answer is, "How can you determine how much to spend on content?" The answer is to use content valuation systems based on demand data. Parrot Analytics provides a content valuation system that calculates the dollar value contribution of any title to any platform in any region. With an impressive audience demand of 23.3 times the average show in France during March 2024, executives can make a more informed decision about the value of "Saturday Night Live" and its potential worth to their platform.
The third question is, "How can demand data help assess a TV series' ability to drive subscriptions and prevent churn?" Executives can estimate how much a specific title will bring to a particular platform and assess its ability to drive subscriptions and retention using data. Demand data can also help identify audience preferences and find new opportunity markets for content distribution to ensure that viewers keep coming back to the platform.
The fourth question is, "How can demand data power competitive benchmarking?". Parrot Analytics allows executives to compare their content against other titles available on the market. Using this data, executives can determine the popularity of a show, like "Saturday Night Live," compared to other comedy titles in France.
Lastly, demand data can provide insight into the appeal, momentum, and longevity of a title. For example, by examining "Saturday Night Live's performance on a 1-year rolling basis vs the last 30 days, its rolling average demand was only 11.5 times the average title compared to 23.3 times in the last 30 days. Executives can leverage this information to determine whether the show has increased popularity and can make decisions based on data regarding audience retention and acquisition.
In conclusion, demand data plays a critical role in making informed content decisions for entertainment executives. By analyzing and understanding audience demand, executives can determine content valuation and make decisions about programming, content acquisition, and distribution effectively. Parrot Analytics allows executives to use data-driven insights like those we've presented about "Saturday Night Live" in March 2024 in France to make informed decisions.
