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 across various platforms can leverage the demand data on shows like "1992" to make informed decisions about their content and programming strategy. Here are a few ways demand data can help:
Content Valuation: Demand data can provide insight into how much a show is worth to a platform, such as by revealing the dollar value contribution of a show to a platform in a specific region. The demand data for "1992" shows good audience demand, which indicates it could have significant value in Italy. Comparing the show's performance in the past 90 days to the last 30 days suggests a recent increase in popularity, which could be a factor in calculating the current value of the show.
Acquisition and Programming Decisions: By examining the other shows that fans of "1992" also enjoy, executives can gain insight into which other programs they should consider acquiring to appeal to the same audience. They can also use demand data to assess the potential cannibalization of audiences if a title is available on multiple services, as well as optimize release strategy and pricing based on how the show's demand is trending.
Distribution Decisions: The show's performance in various markets can inform distribution decisions. As "1992" is performing best in Italy, the platform or networks in that market may consider investing more in promoting or distributing the show. Meanwhile, countries like the United States, France, and the Netherlands have an okay demand for the show, which may help content distributors in these markets assess the potential viability of distribution deals.
Franchisability and Spin-Off Potential: While "1992" has poor franchisability, executives can use similar data points to assess what content may prove more successful in expanding into franchises or developing into spin-offs.
In addition to these applications, executives can also use demand data to understand audience tastes and identify opportunities in the market. By measuring the demand data of various titles globally or regionally, they can make more informed decisions about which content to acquire or produce, how to expand globally, and how to retain existing subscribers or grow their audience.
This is 1992'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 1992 travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Sky Atlantic Italy‘s 1992 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 Italy, 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 Sky Atlantic Italy 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 1992, for example, can be assessed for a market e.g. Italy, which can then be benchmarked against genre averages (e.g. Political Drama), using our globally standardized Demand Expressions® metric.
This page has been renewed on March 28, 2024, 11:47 a.m. PST using tv demand data from Parrot Analytics for 1992 in Italy. We provide our partners with valuable television workflows to help them drive better and more informed content licensing strategies. Contact us today to find out more.