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, you are always searching for the next hit show or movie for your platform. One way to make more informed decisions about content and distribution is through the use of demand data from Parrot Analytics. The recent example of "Star Trek: Strange New Worlds" in Japan provides a prime example of how demand data can be used.
One way to use demand data is for content valuation. For example, if you are a TV series financing company looking to invest in a show, you can use the demand data for "Star Trek: Strange New Worlds" to see that the show has 8.0 times the audience demand of the average show in Japan over the last 30 days. This indicates that there is strong demand for the show, and if you were to invest in it, it could potentially be a valuable asset for your company. Additionally, seeing that the show’s demand in its home country of the United States is immensely high can indicate the potential value an exclusive global license would represent.
Another way to use demand data is for programming decisions. If you are head of programming at an OTT or SVOD platform, you can use the demand data of "Star Trek: Strange New Worlds" to see that its demand is in the 99.4th percentile in the drama genre in Japan, indicating that it is a popular show in that genre. You can also see what other shows fans of "Star Trek: Strange New Worlds" also like, such as "Star Trek: Lower Decks", "Ahsoka", and "The Mandalorian". With this information, you can make informed decisions about which shows to pair "Star Trek: Strange New Worlds" with on your platform, and even use this information to identify potential cross-promotion opportunities.
Demand data can also be used to inform distribution decisions. For example, a content distributor looking to sell "Star Trek: Strange New Worlds" to Japan-based networks can use the demand data to show that the show's demand in Japan has increased by 13.4%, indicating that it is a growing show in that market. Additionally, with the knowledge of which markets globally are most in-demand for the show, distributors can identify potential markets for sale or discuss exclusive distribution rights with OTT and SVOD platforms in those markets.
Finally, demand data can inform acquisition decisions. For instance, an entertainment talent agency looking to sign talent on "Star Trek: Strange New Worlds" or looking to acquire distribution rights can use the demand data to better understand the show's global performance across dimensions such as momentum, longevity, reach, and franchisability. By comparing it to the demand of other shows in the genre, they can identify which shows or networks specific actors or production companies should target. Furthermore, they can use the data for negotiating better rates for talent on a mega-hit series with proven staying power, such as in the case of "Star Trek: Strange New Worlds".
Overall, the demand data for "Star Trek: Strange New Worlds" in Japan and globally can be used to make more informed content, distribution, and acquisition decisions. By examining both the trends over the last 30 days and the rolling year average, it is possible to gauge whether a show's popularity is increasing or decreasing. Armed with this information, an executive can identify high-potential content, optimize programming schedules, identify ideal markets for distribution, or negotiate better deals.
Star Trek: Strange New Worlds's travelability to Japan in the last 30 days is 36%, which means that the audience demand for Star Trek: Strange New Worlds is 36% 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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Our TV audience measurement dataset is truly global. Discover how popular Paramount+‘s Star Trek: Strange New Worlds 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 Japan, 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. Japan, which can then be benchmarked against genre averages (e.g. Sci-Fi Action), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:03 p.m. PST using analytics from Parrot Analytics for Star Trek: Strange New Worlds in Japan. We provide our partners with essential television series workflows to help them drive better and more informed content distribution strategies. Contact us today to find out more.