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, utilizing demand data can significantly improve your content, distribution, and acquisition decisions. By analyzing the performance of "Star Trek: Strange New Worlds" for the month of October in Sweden, we can see how demand data relates to content valuation and how it can inform strategic decision-making.
One of the primary uses of demand data is content valuation. For example, Parrot Analytics content valuation system can use demand data to answer vital questions such as "How much is my series worth" and "What is the baseline value of a title." In the case of "Star Trek: Strange New Worlds," we see that the show has an exceptional level of demand that is 11.9 times higher than the average show in Sweden for the last 30 days. This means that the show has a considerable economic value, and its value could be even higher in other countries where it ranks higher. In Sweden, this level of demand is only reached by 2.7% of all TV shows, indicating the show's strong pull in the market.
Furthermore, while the demand for the show has been decreasing recently, its ranking remains in the 99.9th percentile in the drama genre. This high demand level demonstrates that the show is a strategic asset for any streaming platform or TV network that carries it, as it can attract and retain viewers.
Demand data can also inform programming decisions, such as which titles to acquire or produce. Through the top 10 global markets where "Star Trek: Strange New Worlds" is most in-demand, we can see the show's popularity is incredibly high, outranking the average TV show in all of them. If an entertainment executive is looking to acquire new content or produce a new series, analysing the popularity of already successful shows could help to determine what genres and storylines are resonating with audiences. For instance, "Star Trek: Strange New Worlds" fans also enjoy shows like "Ahsoka," "The Mandalorian," "Loki," and "Star Trek: Discovery." This information can help inform production and acquisition decisions.
Additionally, demand data can inform decisions about distribution and marketing strategies. We can see an increase in demand for "Star Trek: Strange New Worlds" in mid-October 2023. This could signal the need for more promotional activities to bolster audience engagement. Also, examining the show's reach and travelability can help executives determine which platforms or networks to target for distribution.
Lastly, demand data can provide insights into viewer tastes and help identify whitespace opportunities in markets. For example, we can see the show's demand levels in Sweden compared to its home market, the United States. Analyzing these differences can highlight potential areas for expansion for the show or platform in that market.
Overall, utilizing demand data can help entertainment executives make more informed decisions about content valuation, programming, acquisition, distribution and marketing strategies. With valuable insights about their respective industries and competitors, executives can focus their efforts on content that generates the greatest demand and provides the most significant value to their customers and stakeholders.
Star Trek: Strange New Worlds's travelability to Sweden in the last 30 days is 65%, which means that the audience demand for Star Trek: Strange New Worlds is 65% of the demand in its country of origin, United States. Click through to another market to discover how well Star Trek: Strange New Worlds 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 Sweden, 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 Paramount+ 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 Star Trek: Strange New Worlds, for example, can be assessed for a market e.g. Sweden, which can then be benchmarked against genre averages (e.g. Sci-Fi Action), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:03 p.m. PST using global tv demand data from Parrot Analytics for Star Trek: Strange New Worlds in Sweden. We provide our partners with essential television industry expertise to help them drive better and more informed content marketing strategies. Contact us today to find out more.