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 executive in the entertainment industry, have you ever wondered how you can make informed content acquisition decisions? Demand data can be an invaluable resource for executives, giving insight into audience preferences and behaviors which can guide acquisition and distribution decisions. In this context, we will examine the show "1983" in Poland for the month of October 2023, and explore how the use of Parrot Analytics' independent measure of audience demand across six dimensions can inform decisions.
Content valuation is an important aspect of the majority of executive decision making in the entertainment industry, and it can be challenging to determine how much to spend on content. However, Parrot Analytics content valuation system, which is based on demand data, can help to reveal the dollar value contribution of any title, to any platform, in any region. "1983" has achieved a peak demand of 10.8 times the average over a one-year rolling period and, in the last 30 days, its demand has increased by 6.0%. During October, audience demand for the show increased by 8.6%. These values demonstrate that "1983" has been increasing in popularity, which can help to inform content valuation decisions.
Moreover, demand data can be used to inform content acquisition decisions by identifying which types of content exhibit potential for acquisition or production. In the case of "1983" in Poland, its demand is outstanding, with 9.6 times the audience demand of the average show over the last 30 days. Furthermore, it is in the 99.8th percentile in the crime genre, meaning that it has higher demand than 99.8% of all crime titles in Poland. Besides, it moved up in its rank by eight spots during October in Poland, and its travelability, which quantifies a show's international demand relative to its home market, is good.
Another valuable use of demand data is for programming decisions. Understanding which shows an audience prefers can inform scheduling decisions, while knowing which elements of existing content fans like the most can help to optimize upcoming productions for success. In the case of "1983" in Poland, it is intriguing to note that it has outranked titles like "The Mandalorian" and "Rick and Morty" in the popularity charts. Besides, Parrot Analytics has identified that "The Walking Dead: Daryl Dixon," "Foundation," and "Star Trek: Strange New Worlds" are among the shows that fans of "1983" also like.
Finally, audience demand data can be useful for distributing content effectively. By mapping local whitespace and identifying popular genres in a particular market, executives can develop more effective targeting strategies. In Poland, "1983" has been a top-performing show, achieving outstanding audience demand of 7.2x.
In conclusion, demand data is a valuable tool that executives in the entertainment industry can use to inform content acquisition, distribution, and programming decisions. This analysis of "1983" in Poland demonstrates the various ways in which demand data can be used to make informed decisions. By examining the show's performance on a 1-year rolling basis compared to the past 30 days, we can see that demand has been increasing. This insight can help executives plan their content valuation, acquisition, and distribution strategies more effectively.
This is 1983'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 1983 travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s 1983 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 Poland, 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 Netflix 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 1983, for example, can be assessed for a market e.g. Poland, which can then be benchmarked against genre averages (e.g. Action Drama), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2:04 p.m. PST using tv demand metrics from Parrot Analytics for 1983 in Poland. We provide our partners with deep OTT insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.