As an entertainment executive, you can use the demand data of a TV series like "The Masked Singer (US)" to gain valuable insights for strategic decision-making.
At the beginning of the series' broadcast, the producers could have used demand data to determine if "The Masked Singer (US)" would be a suitable addition to the program line-up. Since the show has maintained good demand over time, even amid decreasing demand trends during January in Australia, it suggests that the show has a loyal and dedicated audience. They can also use the same demand data to evaluate the show's success and identify areas to make improvements in future seasons.
Demand data can assist in acquiring, financing, or distributing content. With detailed information about the audience demand for a TV series in different markets, content distributors and aggregators can decide which markets to target for distribution and how much to invest in content acquisition. Furthermore, content financiers can use demand data to evaluate potential content and help determine the budget and funding required for acquiring or producing content.
Demand analysis can also be used to evaluate affinity or taste clusters globally and region-specifically. An entertainment talent agency can use this data to find the best talent or genre for launching a new series. A producer can figure out the ideal marketing strategy to increase sales and targeting the right audience.
The above-mentioned analysis of "The Masked Singer (US)" gives insights into how demand data relates to content valuation. It can be used to determine how much a series is worth, alongside baseline value, i.e., how much a content library adds value to a platform over time. Parrot Analytics content valuation system is based on demand data, and together with it, the platform can perceive how much impact a particular series has on audience engagement or how it drives acquisition or churn reduction efforts.
Demand data can provide useful insights in deciding a subscriber acquisition strategy as well. For example, identifying titles similar to "The Masked Singer (US)," such as American Dad, Love Island Games, or Dancing With The Stars, can guide the selection of new titles that will attract new audiences to the platform. This demand data can be used to acquire titles that can retain or grow the current subscriber base, and suitable marketing strategies can be adapted to optimize audience engagement.
Lastly, demand data powers the capability to map local whitespaces and competitive benchmarking to identify which genres are resonating the most with audiences. Content creators can utilize this data while content mapping, concept testing, and optimizing pre-release marketing.
Therefore, by leveraging demand data, entertainment executives can make knowledgeable decisions beneficial for their business, recognition, and the overall audience.
