As an entertainment executive in an OTT or SVOD platform, you need to understand how demand data can help you make better decisions concerning content acquisition, distribution, programming, and even content valuation. Using the example of "Perry Mason (2020)" in Canada, we can show how demand data can inform those decisions.
Content valuation uses demand data to determine a series' worth. With "Perry Mason (2020)" in Canada, we can see that the show has 3.5 times the demand of the average show, which is good. Knowing the value of a content library to a platform over time, we can use demand data to assess "Perry Mason (2020)"'s ability to drive subscriptions, acquire audiences, and reduce churn. This can inform decisions on how much to spend on content and how to allocate funds to maximize future content investments.
Demands also allow us to value content globally. By examining the top 10 global markets where "Perry Mason (2020)" is most in-demand over the last 30 days, we can see how the show outperforms the demand of the average TV show (1x) in each of these markets. Based on this information, we can determine which platforms "Perry Mason (2020)" should target for distribution, and how its reach can help to grow the audience of a platform.
Moreover, by examining the travelability of "Perry Mason (2020)" - its international demand relative to its home market - we can determine which countries or regions the show is most popular, and which local whitespaces it has in the international market. This information can inform acquisition decisions, such as which type(s) of content exhibit opportunity to acquire, or which titles should be acquired to support global SVOD expansion.
We can also use demand data to inform decisions on programming and release strategy. We can determine the popularity of the show among the audience, which indicates how well the marketing campaign is working. We can assess if the show is part of the cultural zeitgeist and adjust the programming accordingly. Knowing the show's momentum - the pace of growth - we can determine if the show will continue to grow in popularity or if it is losing interest. This information can guide decisions on programming and release strategy.
Finally, demand data enables us to map out the taste clusters and preferences of our audiences. In the case of "Perry Mason (2020)" in Canada, we can see other shows that have a similar demand such as "Young Sheldon", "Doom Patrol", and "For All Mankind". This information can help with competitive benchmarking and discovering opportunities for content distribution.
In conclusion, the demand data for "Perry Mason (2020)" in Canada provides insights and helps executives make more informed decisions concerning content acquisition, distribution, programming, and even content valuation. By examining various dimensions of demand data such as travelability, momentum, and reach, executives can make decisions that drive the growth of their platforms, keep current audiences happy, and attract new subscribers.
