As an entertainment executive, the information provided by demand data analysis can help inform decisions regarding content valuation, acquisition, distribution, and programming. Let's explore the example of "Schmigadoon!" and use the information provided to answer some of the questions raised.
Firstly, content valuation uses demand data to answer questions like "how much is my series worth?" or "what is the baseline value of a title?" In the case of "Schmigadoon!", the show's good demand in Brazil over the last 30 days, with 2.5 times the audience demand of the average show and higher demand than 95.4% of all comedy titles in the region, makes it a valuable title. With the good demand spike in late December 2023, demand data could also be used to estimate the potential long-term value of the show to a platform.
Demand also enables valuation of IP globally. By examining the top 10 global markets where "Schmigadoon!" is most in-demand, we can see that the show outperforms the average TV show demand in each of these markets. This information could be used by a TV production company or studio looking to sell the show to a global streaming platform or to assess its value beyond its original market.
Demand data can also help with acquisition decisions by quantifying the platform-specific marginal revenue contribution and assessing a TV series' ability to drive subscriptions and mitigate churn. In the case of "Schmigadoon!", we can see that the show's demand has been decreasing recently compared to the last 90 days but its audience demand in Brazil has increased by 12.4% in December. This information could be used to inform decisions on whether to renew the show, acquire the rights, or distribute it in Brazil or other markets.
Programming decisions can also benefit from demand data analysis. By examining the show's performance on a 1-year rolling basis vs. the last 30 days, we can see that the show has increased in popularity and achieved a higher peak demand in the last 30 days. This information could be used to decide whether to promote the show more aggressively, modify the release strategy, or change the programming schedule to maximize its audience.
Demand data can also provide insights into the audience's preferences and tastes, which could be useful for content production or acquisition decisions. In the case of "Schmigadoon!", the show's fans also like titles such as "Ted Lasso" or "What We Do In The Shadows", which could point to opportunities for partnerships, cross-promotion, or similar content acquisition.
In conclusion, using demand data analytics can provide valuable insights into a TV show's performance, audience preferences, and potential value. A comprehensive understanding of the show's demand and how it evolves over time, as well as audience preferences and behaviors, can help inform strategic decisions on content valuation, acquisition, distribution, and programming.
