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's essential to have a clear understanding of your content's performance to make informed content acquisition, production, and distribution decisions. Demand data is an influential tool to inform and quantify the value of content, as it can help you answer many critical questions you may have about your content's performance. For instance, let's look at "Good Girls" in Germany in February 2024 as an example.
Using demand data from Parrot Analytics, we can see that the show has 3.4 times the audience demand of the average show in Germany over the last 30 days, with only 8.6% of all TV shows having this level of demand. Furthermore, it's demand rank dropped by 129 spots during February 2024 in Germany. Audience demand for the "Good Girls" show decreased in Germany by 1.1% during February. Additionally, the show has a high ranking percentile of 96.1% in the drama genre meaning that it has higher demand than 96.1% of all drama titles in Germany.
Demand data can also help inform the value of content, including content valuation, especially when used in conjunction with other metrics. By leveraging demand data, it's possible to calculate how a specific title drives engagement or how much the audience demand is sustainable over time. You can also assess the value of exclusivity and estimate how much is worth a particular title for acquisition considerations or determine how much content is worth for another streaming platform.
Parrot Analytics' demand data can help answer questions like how well "Good Girls" is performing relative to the market average, how much global appeal the show has in comparison to other shows, and what are the most popular genres in a single market. The insights into the show's performance and audience engagement can further inform decision-making related to marketing strategies, release dates, and pricing strategy.
Finally, knowing the top 10 global markets for "Good Girls" and how the show performs in these markets can help with decisions on expanding the show's footprint further. The show achieved good audience demand in all ten markets, growing by 18.2% in the last 30 days, indicating increased popularity.
In conclusion, by leveraging Parrot Analytics' demand data, entertainment executives can make informed decisions related to content acquisition, production and distribution. From content valuation to performance metrics, understanding audience demand helps at every stage of the content life cycle as it ultimately informs the generation of revenue streams for the business.
Good Girls's travelability to Germany in the last 30 days is 24%, which means that the audience demand for Good Girls is 24% of the demand in its country of origin, United States. Click through to another market to discover how well Good Girls travels internationally.
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Acquire the best shows from partners such as NBC to fortify your competitive position in Germany. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Good Girls), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
Command your Drama genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as NBC by incorporating country-specific trend and market demand factors for all markets including Germany. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
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Our TV audience measurement dataset is truly global. Discover how popular NBC‘s Good Girls 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 NBC 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 Good Girls, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 17, 2024, 2:04 p.m. PST using global demand content analytics from Parrot Analytics for Good Girls in Germany. We provide our partners with essential OTT workflows to help them drive better and more informed content licensing strategies. Contact us today to find out more.