As a TV executive, you must make informed content, distribution, programming, and acquisition decisions. Using demand data can help you in making these decisions. Let's explore how demand data for "The Masked Singer (US)" in Australia for December 2023 can inform important decisions.
Firstly, demand data can help you valuate content. The Parrot Analytics content valuation system is based on demand data for "The Masked Singer (US)." It reveals the dollar value contribution of the show to any platform in any region. Furthermore, it can assess how much a show is worth, estimate its ability to drive subscriptions and mitigate churn, and assess the value of exclusivity on streaming platforms.
Second, demand data informs scalable concept testing for a TV production company. Understanding "The Masked Singer (US)"'s popularity in Australia can help local TV production companies with decisions concerning supply and demand. If it's a desirable format and local production companies find it a good fit, it could lead to the development of similar shows for the local market.
Third, demand data can help you with decisions concerning distribution. In the case of "The Masked Singer (US)," examining the top 10 global markets where the show is most in-demand over the last 30 days, can indicate the attractiveness of the show to other markets. For instance, "The Masked Singer (US)" has outstanding audience demand in the United States, making it an attractive show for local linear or pay TV networks. While in Australia, "The Masked Singer (US)" has good demand.
Fourth, demand data can provide insights into programming decisions, such as the release strategy. For "The Masked Singer (US)," for example, this information could inform the optimal time to release the show in different regions depending on audience demand trends.
Lastly, demand data powers discovery and recommendations algorithms used by OTT platforms. For instance, understanding that fans of "The Masked Singer (US)" enjoyed watching "MasterChef UK: The Professionals," "The Golden Bachelor," "American Dad!", "Found," and "Dancing With The Stars," among others, can guide an SVOD platform's recommendation engine to make tailored content suggestions to individual users.
In conclusion, as a TV executive, you need as much information as possible to make informed decisions. Demand data can help with content valuation, scalable concept testing, distribution decisions, programming decisions, and help inform discovery and recommendation algorithms on OTT platforms. For example, understanding demand trends for "The Masked Singer (US)" in Australia in December 2023 could inform decisions such as deciding on optimal time to release the show, assessing the show's potential in other markets and finding similar formats to develop for the local market.
