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.
Parrot Analytics' demand data is a powerful tool that can be used to make more informed content, acquisition, distribution and programming decisions. Using demand data, executives can better understand audience preferences, quantify content value and identify growth opportunities. In October 2023, "Star Trek: Strange New Worlds" exhibited exceptional audience demand in Russia. Below are a few examples that illustrate how entertainment executives can leverage demand data for strategic decision-making purposes.
1. Content Valuation: Entertainment executives can use Parrot Analytics' content valuation system to determine the value of "Star Trek: Strange New Worlds" to their platform. By analyzing the demand data, they can quantify the platform-specific marginal revenue contribution of the show as well as how it drives engagement across the rest of the catalog. Moreover, they can calculate the return on investment (ROI) of the show and assess its ability to drive subscriptions and reduce churn.
2. Programming Decisions: Demand data can help executives make programming decisions by identifying trends in audience preferences. By analyzing the show's Parrot Pulse and identifying its most similar titles, such as "Star Trek: Lower Decks," or "Star Trek: Picard," executives can better understand what type of content resonates with "Star Trek: Strange New Worlds" fans. Moreover, executives can use the data to develop optimal release strategies and pricing structures that maximize performance in target markets.
3. Distribution Decisions: Entertainment executives can use demand data to make informed distribution decisions. For example, executives can evaluate which platforms to target for distribution of "Star Trek: Strange New Worlds" based on the show's demand in different markets. The data could also help identify regional trends and map local "whitespaces," such as untapped markets, that could be leveraged to drive growth.
4. Acquisition Decision: Demand data can inform acquisition decisions by identifying which titles have the highest potential for global growth and may be best suited for development into a franchise. Additionally, executives will know which titles have the best spin-off potential. In the case of "Star Trek: Strange New Worlds," its outstanding franchisability rating suggests that the show has excellent potential for spin-offs or franchising in Russia and beyond.
5. Content Decisions: Demand data can provide insights into content decisions, which are critical for content producers, studio, and talent agencies. By using demand data to identify fan preferences, executives can optimize their content for success. For example, by analyzing which star actors are the most in-demand among the show's fans, they can make casting decisions that maximize the show's performance. By knowing what material resonates most with audiences, they can adjust the show's plot accordingly.
In conclusion, demand data provides valuable insights that entertainment executives can use to inform their strategic decision-making processes. As demonstrated by our analysis of "Star Trek: Strange New Worlds" in October 2023, understanding audience preferences, quantifying content value and identifying growth opportunities, allows executives to make informed decisions that drive business success.
Star Trek: Strange New Worlds's travelability to Russia in the last 30 days is 64%, which means that the audience demand for Star Trek: Strange New Worlds is 64% 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 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 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. Russia, which can then be benchmarked against genre averages (e.g. Sci-Fi Action), using our globally standardized Demand Expressions® metric.
This page has been changed on March 28, 2024, 11:11 p.m. PST using demand metrics from Parrot Analytics for Star Trek: Strange New Worlds in Russia. We provide our partners with smart entertainment industry know-how to help them drive better and more informed content marketing strategies. Contact us today to find out more.