As an entertainment executive, demand data is essential in making informed content, acquisition, distribution, and programming decisions. Parrot Analytics' demand data can provide deep insights into audience preferences, allowing executives to identify the popularity of shows and assess the value of content.
In the case of the animated TV series, "Family Guy," our data shows that this show had an exceptional audience demand in the last 30 days when compared to other shows in Australia. The show's demand data can certainly be useful in content valuation as it indicates insight into how much the marketplace values "Family Guy." For example, one can determine that the audience demand is high, leading to inferred high marketability and revenue potential.
The show has also ranked #10 in Australia and moved up two spots during November in the country. The audience demand for the show has increased in Australia by 4.2% in November, with the show outperforming the demand of the average TV show (1x) in each of the top 10 global markets where it is most in-demand in the past 30 days globally, including countries like the United States, the United Kingdom, Canada, and Germany.
One can also further analyze the Parrot Pulse dimension of the show to make more informed content decisions. For instance, the show's exceptional franchisability (spin-off potential) and reach - sggesting it can attract a broad audience, are indicators that there may be ways for executives to expand the content across platforms and into other markets.
The data around the show's related fandom highlights other shows that fans of "Family Guy" also like, such as "American Dad!," "Rick And Morty," and "Bob's Burgers," among others. Therefore, this data can inform acquisition, programming, and distribution decisions to highlight shows that appeal to the same audience to drive engagement and audience retention for the existing show.
In conclusion, demand data provides valuable insight that can help entertainment executives make more informed content-related decisions across the entire content value chain. It also helps in content valuation by revealing how much audiences value individual shows and how rising or falling demand can influence the marketability and revenue potential of any title.
