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.
Entertainment executives in the TV industry are constantly making decisions about content acquisition, distribution, programming, and more. Demand data can help these executives to make more informed decisions by providing insights into various aspects of a show's performance. Let's take the case of "Xiaolin Showdown" in the United States in December 2023 and explore how demand data can help TV executives make better decisions.
Demand data can provide valuable insights on content valuation for any platform. In the case of "Xiaolin Showdown", it has a demand of 2.7 times the audience demand of the average show in the United States over the last 30 days. By understanding show's value, executives can make better content acquisition decisions and decide on how much to invest in the content. Furthermore, executives could explore how much of the show's value is being driven by demand for its stars or the show's genre.
One of the key benefits of demand data is determining the types of shows that resonate with certain audiences. In this case, "Xiaolin Showdown" has a higher demand than 86.0% of all comedy titles in the United States, enabling executives at a TV production company to make decisions about creating shows for this particular comedy genre and determine what type of show might perform better. Since demand spiked in late December 2023 for the United States, the executives can also explore the potential factors that contributed to the increase in demand and see what strategies they can replicate for other shows.
Demand data also helps executives make programming decisions. In "Xiaolin Showdown"'s case, we can see the show's rank dropped in December 2023 from its peak rank of #2424 in the United States. Thus the executives at a linear network can decide if they should order more episodes or promote the show differently to bring it back up in the rankings. They could also explore if the demand has shifted to a different market and try to expand into that market.
Global expansion of the show's franchise can be facilitated by demand data. Since "Xiaolin Showdown" outperforms the demand for the average TV show in each of its top 10 global markets from the last 30 days, executives from an OTT platform can prioritize expansion efforts in the top-performing countries. They might also examine the travelability feature of the show on how well it performs internationally to determine the viability of expanding to other countries.
In conclusion, demand data is critical for informing decisions related to content valuation, content acquisition, distribution, programming, and franchise expansion. In the case of "Xiaolin Showdown", executives have insights into the show's performance across various dimensions, enabling them to make informed strategic decisions on prioritizing the comedy genre, investing in producing more episodes, marketing the show differently, and prioritizing global expansion opportunities. By utilizing Parrot Analytics' demand data, TV executives would be able to make data-driven decisions and remain competitive in the industry.
This is Xiaolin Showdown'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 Xiaolin Showdown travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular the wb‘s Xiaolin Showdown is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Over the last 7 days, people who watch Xiaolin Showdown also watch:
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 the wb 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 Xiaolin Showdown, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. School), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2 p.m. PST using global demand data from Parrot Analytics for Xiaolin Showdown in the United States. We provide our partners with smart TV expertise to help them drive better and more informed content partnership strategies. Contact us today to find out more.
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