As a television executive, using demand data for content analysis and decision-making is critical in making informed and precise content acquisitions, programming, distribution and content valuation decisions. Using the example of "The 100," we show how Parrot Analytics can help you use demand data to make these decisions:
Firstly, understanding content valuation using demand data enables you to answer several questions related to content worth such as "How much is my series worth?" and "What is the baseline value of a title?" Parrot Analytics' content valuation system uses demand data to determine a show's worth on a particular platform and reveals the dollar value contribution of any title, making it essential in acquisition and content valuation decisions.
Secondly, demand data powers assessing franchiseability of a series, which is important while considering spinoffs of any successful TV show. In the case of "The 100", the show's franchiseability is outstanding, indicating a potential platform for future spinoffs.
Thirdly, demand also helps in audience retention and acquisition. Understanding subscriber retention needs and identifying titles that will appeal to them is important for platforms to keep their customers happy. In the case of "The 100," the show has a dedicated but small fandom making it appealing to a certain set of people; hence, knowing the demographics of the platform's audience is essential in deciding to acquire the title.
Fourthly, using demand data for mapping the local white spaces gives the platform a chance to identify the most popular genres in each area, making local business strategy profitable.
Lastly, demand data is key in optimizing release strategies. In the case of "The 100," demand spiked in late February, suggesting that a staggered release strategy could be a better approach rather than releasing all episodes at once.
In conclusion, using demand data empowers you to make innovative and strategic decisions informed by the audience's likes and preferences. "The 100" is just one example of how demand data can help television executives make informed decisions based on audience preferences, making it worthwhile to examine demand data for every title's analysis, making the best decision for their respective platforms.
