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, analyzing demand data for content can help to make more informed programming, acquisition, content valuation, and distribution decisions. The case of "Robocar Poli" is a great example of how demand data can help identify popular and high-value content for any platform.
"Robocar Poli" has shown remarkable demand over the past month in Russia, with 10.4 times the audience demand of the average show in the country. Executive can assess the dollar value contribution of this title, to determine its monetary worth. If considering acquiring this content, knowing its value is critical to negotiating any agreement. This show's high demand is also reflected in its rank, as it moved up in its rank by 360 spots during October in Russia. Comparing a show's rank over time can provide executives with a valuable point of comparison between different shows.
Moreover, executives can identify this show's popularity by assessing other similar content preferred by viewers. Based on fan preferences, "Robocar Poli" has been in demand amongst popular shows in Russia such as "The Witcher" and "Warrior." Market consolidators may use this metric to identity potential acquisition targets or, if a studio or production company, create content that serves the preferences of the audience.
The Parrot Pulse for "Robocar Poli" provides insights into six key dimensions of its performance, including its audience demand across all platforms, travelability, longevity, momentum, franchisability, and reach. Evaluating the performance across six dimensions of a show helps in identifying the show's strengths and areas for improvement. In this case, this measure shows that the show has good franchisability, making it a strong candidate for potential spin-offs.
Lastly, demand data can help executives assess a show's popularity beyond a specific country. By analyzing the top 10 global markets where "Robocar Poli" is most in-demand over the last 30 days, content executives can see that the show's popularity greatly exceeds the demand of the average TV show, even in all the top 10 markets. Particularly, the United States market is showing outstanding demand, along with good demand in Ukraine, Malaysia, Brunei, Italy, France, and Taiwan. This enables a content executive to make informed programming and distribution decisions for both their home market and other potential growth markets internationally.
In conclusion, demand data has become critical to content valuation, programming, distribution, and acquisition decisions. As exemplified by the case of "Robocar Poli," executives can draw valuable insights from the global content demand supply and quantify the platform-specific contribution, ROIs, optimization of marketing campaigns, and audience engagement strategies.
Robocar Poli's travelability to Russia in the last 30 days is 108%, which means that the audience demand for Robocar Poli is 108% of the demand in its country of origin, South Korea. Click through to another market to discover how well Robocar Poli travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular EBS‘s Robocar Poli is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
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 Russia, 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 EBS 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 Robocar Poli, for example, can be assessed for a market e.g. Russia, which can then be benchmarked against genre averages (e.g. Pre-school), using our globally standardized Demand Expressions® metric.
This page has been changed on April 18, 2024, 2:04 p.m. PST using television demand datasets from Parrot Analytics for Robocar Poli in Russia. We provide our partners with smart television series insight to help them drive better and more informed content partnership strategies. Contact us today to find out more.