The Demand Distribution curve illustrates how a TV show’s popularity compares to the demand benchmark, which is a measure of the average demand across all titles. The curve is divided into performance buckets, ranging from “Below Average” to “Exceptional”. A show falls into one of these performance buckets depending on how many times more or less demand it has compared to the demand benchmark.
The show’s performance is market-specific, e.g. the same show can be in the “Average” range in the United States and in the “Good” range in France.
As an example, if a show has 9 times more demand than the demand benchmark, it falls in the “Outstanding” performance range; only 2.7% of all shows in the market reach this high level of demand.
As an entertainment executive, there are crucial decisions you need to make regarding content creation, acquisition, distribution, and programming. Using demand data can give you valuable insights to help make more informed decisions. In this article, we will use the example of "Transformers: War For Cybertron Trilogy" for the month of March 2024 in the United States to illustrate how demand data can be used.
Firstly, demand data can be used for content valuation. By using demand data to calculate the dollar value contribution of a title to any platform in any region, it can reveal the baseline value of a title. Specifically, we learn that "Transformers: War For Cybertron Trilogy" has demand that is 4.3 times greater than the average TV show in the United States over the last 30 days. This highlights that it is worth an above-average amount in terms of content valuation. Additionally, by examining the performance of the show on a rolling year basis vs the last 30 days, we discover that the show has increased popularity, which is useful information for content valuation.
Secondly, demand data can inform programming decisions. Understanding audience demand for a specific show can help you to make better programming decisions by giving you insights into which shows should be prioritized. The demand for "Transformers: War For Cybertron Trilogy" in the United States has increased by 37.5% during March, suggesting that it would be wise for programming executives to prioritize that show. Also, by examining the show's audience, we learn that fans of "Transformers: War For Cybertron Trilogy" also like "The Mandalorian," "Wheeler Dealers," and "South Park." Programming executives can use this information to curate programming lineups that appeal to the show's fanbase.
Thirdly, demand data can inform distribution decisions. By using demand data, you can determine the platforms to target for distributing content. In the case of "Transformers: War For Cybertron Trilogy," it is revealed that the demand for the show is good across many countries, including China, the United States, Switzerland, and Canada. This information can be useful for distributors deciding which regions to distribute the show to or which regions to focus on to increase demand for the show.
Lastly, demand data can inform acquisition decisions. By using demand data, you can estimate the ROI a specific title will bring for any given platform. In this case, it is shown that the show has good demand, which could lead it to bring in a substantial ROI for an acquisition-driven platform. Additionally, by examining the show's franchise and spin-off potential, it is found to be okay. This means that it could be a worthy acquisition target for companies looking to develop spin-offs or franchise opportunities.
In summary, demand data can be used to help entertainment executives make more informed content, acquisition, distribution, and programming decisions. Using the example of "Transformers: War For Cybertron Trilogy," we learned that demand data can help with content valuation, programming decisions, distribution decisions, and acquisition decisions. By incorporating demand data into your decision-making process, you can create a well-informed strategy that increases the likelihood of success.
This is Transformers: War For Cybertron Trilogy's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Transformers: War For Cybertron Trilogy travels internationally.
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Parrot Analytics is the leading global content demand analytics company for the multi-platform business of television. With the world’s largest TV audience demand dataset, the company currently tracks more than 1.5B daily expressions of demand in 100 languages, not only in the United States, but also in 100+ other markets around the world to reveal the television content that consumers watch (viewership) and give their attention to the most.
Parrot Analytics' television demand data highlights the global TV content monetization opportunities for Netflix and thousands of TV studios, linear networks, broadcasters, pay TV providers and OTT / SVOD platforms.
Unlike TV ratings, our DemandRank TV rating system ensures that important demand signals are weighted more heavily than others: The more consumer effort required; the more importance is attached to each signal. Once all the signals are weighted and combined, the audience demand for Transformers: War For Cybertron Trilogy, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Japanese Animation), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2:02 p.m. PST using television demand analytics from Parrot Analytics for Transformers: War For Cybertron Trilogy in the United States. We provide our partners with far-reaching television series expertise to help them drive better and more informed content sales strategies. Contact us today to find out more.