As an entertainment executive, the ultimate goal is to make the best possible decisions for your business. To do so, you need access to the right information and tools. That's where demand data comes in. Demand data can be used to help make more informed decisions regarding content acquisition, programming, distribution, and content valuation.
For example, let's take a look at "The Big Bang Theory" and how we can use demand data to help you make more informed content decisions. Currently in the United States, this show has 42.2 times the audience demand of the average show, indicating that it has exceptional demand. This can help content distributors or OTT platforms evaluate the potential value of the show when considering acquiring it. Additionally, by looking at the demand of the show in different genres, such as the romance genre where "The Big Bang Theory" ranks at the 100th percentile in the US, a pay TV network or a linear network can see if the show would be a good fit for their audience.
Demand data enables you to evaluate the performance of a show and how it would fit into your portfolio based on the global demand landscape. For example, we looked at the top ten markets where "The Big Bang Theory" is most in-demand and found that it outperforms the demand of the average TV show in each of those markets. By looking at the patterns of global performance, a studio or content distributor can understand the revenue potentials of the show in different regions.
Additionally, demand data can provide you with insights into audience preferences and what viewers are watching. For example, by examining the shows that fans of "The Big Bang Theory" also like, we can see that "Young Sheldon", "Game Of Thrones", and "Breaking Bad" are popular among the same fan base. This can inform content creation or acquisition decisions.
Demand data can also help inform programming decisions such as release strategies, and pre-release marketing campaigns. For example, in November 2023, we saw a significant demand spike for the show in the US. By utilizing demand data, OTT platforms or SVOD platforms can evaluate the demand spikes and adjust their release strategies to optimize the momentum of the show.
Finally, demand data can be used alongside content valuation systems to better determine how much a show is worth. Demand data provides specific insights into how a show is performing prospectively, whilst content valuation provides data on the retrospective financial value of a show. By assessing both the number of high-quality demand signals and the volume, Parrot Analytics can provide you with a dollar value contribution of a TV title, tailored to your business model.
In conclusion, utilizing demand data can be incredibly valuable for making informed content, acquisition, distribution, and programming decisions. By evaluating a series like "The Big Bang Theory", we can see how demand data can help an executive with their strategic decision-making process. Understanding the global demand landscape, audience preferences, and demand patterns can help inform decisions that ultimately benefit your business.
