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.
If you work in the entertainment industry, you know that making informed content decisions, distribution decisions, or programming decisions can be challenging. One of the most powerful tools for understanding audience demand and preferences is demand data. Taking the example of "1993" in Germany, we can see how demand data can help entertainment executives make decisions in several key areas.
Firstly, demand data can help with content valuation. For example, executives can use demand data to answer questions about a show's worth, such as how much it is worth to another streaming platform or what the baseline value of a title is. Based on the available data of "1993," it seems to be performing well with 2.1 times the audience demand of the average show in Germany over the last 30 days. The show has higher demand than 94.6% of all drama titles in Germany, and during December, audience demand for the show has increased in Germany by 15.1%.
Secondly, demand data can help with acquisition decisions. Entertainment executives can use demand data to understand which types of content exhibit opportunities to acquire or produce. Additionally, demand data can inform subscriber acquisition strategies, which titles to buy to keep the current audience happy, and which titles would attract new subscribers. "1993" has also performed well in other key markets such as Italy, the UK, the US, Canada, and Poland, indicating that the show may have global appeal and be a suitable acquisition target for platforms looking for content with international demand.
Thirdly, demand data can help with distribution decisions. Analyzing where a show is most in-demand globally can help executives determine which platforms to target for distribution. In this example, "1993" is in-demand globally, with Italy being its number one market, and good demand in other markets such as the UK, US, Canada, and Poland. Based on this demand data, executives can determine which platforms would be an ideal fit for the show's distribution.
Fourthly, demand data can help with programming decisions. Using demand data, executives can estimate cannibalization of audiences if a title is available on multiple services, optimize release strategy and pricing, and determine pre-release marketing campaigns. Furthermore, by examining the top 10 global markets where "1993" is most in-demand, entertainment executives can tailor programming decisions to appeal to those audiences.
In conclusion, using demand data can provide entertainment executives with valuable insights into audience demand, preferences, and performance. The case of "1993" in Germany is an excellent example of how demand data can help with content valuation, acquisition, distribution, and programming decisions. Ultimately, demand data provides entertainment executives with knowledge that they can use to make informed content decisions that can result in better programming strategies and more effective use of resources.
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Our TV audience measurement dataset is truly global. Discover how popular Sky Atlantic Italy‘s 1993 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 Germany, 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 1993, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Political Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 29, 2024, 4:43 a.m. PST using television demand analytics from Parrot Analytics for 1993 in Germany. We provide our partners with extensive TV know-how to help them drive better and more informed content partnership strategies. Contact us today to find out more.