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.
Television executives can use demand data to make more informed decisions concerning content acquisition, distribution, and programming. Demand data informs content valuation, a technique that shows the contribution of any title to any platform in any region. Such data speaks to questions such as how much the show is worth, how it performs as an acquisition-driving or churn-reducing title, and how to quantify platform-specific marginal revenue and engagement.
For example, let's examine "Stargate SG-1" in Mexico over March 2024. With 5.9 times the audience demand of the average TV show in Mexico over the past 30 days, "Stargate SG-1" has been gaining popularity in the region. This indicates that the Mexican audience is responsive to the show and that it could be worth more to any platform that airs it in that country. Executives can use this data to gauge the dollar value contribution of this content to any platform.
They can also analyze other show's that fans of "Stargate SG-1" also like, such as "Rick And Morty", "Whose Line Is It Anyway?", "M*A*S*H", "The X-Files", "Air Crash Investigation (Mayday)", "Foundation", "The Mandalorian", "Monarch: Legacy Of Monsters", and "Stargate Universe." This information allows executives to cross-promote related programs that could attract more subscribers to their platform.
Content performance over multiple dimensions, like reach, momentum, franchisability, longevity, and travelability, can help executives make informed decisions concerning programming, content valuation, acquisition, and distribution. For instance, executives can use the parrot pulse function to evaluate "Stargate SG-1's global performance across six dimensions," which shows that the series' audience demand in Mexico was 28% of its demand in the United States. As a result, executives can assess whether they should acquire and/or distribute shows globally.
Comparative analyses of performance, like examining the 1-year rolling basis vs. the last 30 days, can reveal how well shows hold their audiences' attention over time. In Mexico, "Stargate SG-1" showed a 9% increase in popularity over the last 30 days, indicating that the demand for the show is picking up. This information can inform content acquisition decisions by helping executives to gauge an acquisition's overall or specific content's appeal to an audience over time.
Finally, television executives can use demand data to inform their marketing strategies by studying audience tastes and preferences to optimize campaigns for new or existing shows. They can also identify top global markets in which shows are most in-demand and leverage this information to plan the optimal release strategy and pricing for new content.
In conclusion, demand data offers a wealth of information that executives can use to improve their decision-making processes when it comes to content acquisition, distribution, and programming. For instance, in the case of "Stargate SG-1" in Mexico, executives can use demand data to assess the show's international travelability, content valuation, cross-promotion with similar programs, and global demand, among others.
Stargate SG-1's travelability to Mexico in the last 30 days is 19%, which means that the audience demand for Stargate SG-1 is 19% of the demand in its country of origin, United States. Click through to another market to discover how well Stargate SG-1 travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular syfy‘s Stargate SG-1 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 Mexico, 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 syfy 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 Stargate SG-1, for example, can be assessed for a market e.g. Mexico, which can then be benchmarked against genre averages (e.g. Sci-fi Drama), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2:01 p.m. PST using demand datasets from Parrot Analytics for Stargate SG-1 in Mexico. We provide our partners with essential TV industry competencies to help them drive better and more informed content marketing strategies. Contact us today to find out more.