As a TV executive, you could use demand data to help you make more informed decisions regarding content acquisition and distribution, programming and content valuation.
Using "Masha's Tales" as an example, it achieved 14.4 times the audience demand of the average TV show in Italy over the last 30 days, indicating outstanding demand. This means it is performing exceptionally well in the Italian market, and the demand variations over time could inform your acquisition, distribution, and programming decisions for this particular title. Additionally, the fact that demand for "Masha's Tales" has been increasing recently indicates that it may be a strategic asset that could be worth acquiring and distributing.
Furthermore, the information on the show's Parrot Pulse reveals that it has outstanding global performance in six dimensions, including travelability, longevity, momentum, franchisability, and reach. This data can be used to make decisions regarding global content expansion, investment allocation, and franchise or spin-off development.
Additionally, the data on the top 10 global markets where "Masha's Tales" is most in-demand could be used to inform acquisition and distribution decisions, as well as content valuation. This data can help you get a more accurate estimate of how much the show is worth globally and how well it would perform in different regions.
Regarding programming decisions, knowing the genres that resonate most with audiences can help you focus your programming efforts on those genres to acquire or produce content that exhibits opportunities. And information on audience affinity analysis can help you determine which talent or brands to partner with to expand your audience and acquire or retain subscribers from that audience.
In conclusion, using demand data such as that provided for "Masha's Tales" can inform and optimize your decision making related to content acquisition, distribution, programming, and content valuation, enabling you to make more informed and strategic decisions for your platform, network, or production company.
