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 entertainment executive, it can be challenging to make informed content decisions that can drive audience engagement and boost profits. One of the most valuable tools in your arsenal is demand data, which can help you gauge the popularity of a particular TV show or movie across various markets and identify trends that can inform your decision-making. In this regard, the recent data on "Lessons In Chemistry" in Germany can provide insights into the show's popularity and give some pointers on how you can evaluate your content.
First, demand data can help executives evaluate the current and future value of a show. As seen with "Lessons In Chemistry," the show had 8.8 times the audience demand of the average show in Germany over the past 30 days, indicating that the show is highly popular in that market. Suppose you are an executive considering acquiring the rights to distribute the series or investing in the production of a new season. In that case, you can leverage the demand data to estimate the potential revenue and profits you might earn from the show.
The data also highlights that "Lessons In Chemistry" has been decreasing in demand in Germany over the last 30 days. This insight is essential, as it indicates that the audience's interest in the show may be waning, thereby giving executives reasons to delve deeper to understand the audience's feelings and the reason for the decline.
Demand data is also crucial for content distribution decisions. As an executive, understanding the global performance of a show as revealed by the Parrot Pulse metrics will enable you to make informed decisions about where to distribute your content. For "Lessons In Chemistry," despite a decline in demand in Germany, the show still maintains its high audience demand globally as reflected by its outstanding travelability score of the Parrot Pulse. This suggests that the show might have potential in other markets globally that deserve attention and further investment.
Finally, demand data can provide insights into customer preferences and help you make informed programming decisions. In Germany, the data shows that fans of "Lessons In Chemistry" also like "The Morning Show (US)," "Foundation," and "Fargo." As an executive, you can use this information to identify content related to these titles or to make decisions about similar content that might appeal to the current audience.
To sum up, demand data is an essential tool for content executives when making informed decisions about content acquisition, production, distribution, or programming for a particular market or globally. By analyzing and understanding demand data, executives can better understand the performance of their current content or upcoming releases to make better, more informed content decisions. In the case of "Lessons In Chemistry," executives can leverage the demand data discussed here to optimize the show's performance in Germany and in other markets around the globe.
Lessons In Chemistry's travelability to Germany in the last 30 days is 57%, which means that the audience demand for Lessons In Chemistry is 57% of the demand in its country of origin, United States. Click through to another market to discover how well Lessons In Chemistry travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Apple TV+‘s Lessons In Chemistry 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 Apple TV+ 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 Lessons In Chemistry, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2:01 p.m. PST using global tv demand content analytics from Parrot Analytics for Lessons In Chemistry in Germany. We provide our partners with essential entertainment industry expertise to help them drive better and more informed content investment strategies. Contact us today to find out more.