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 of an OTT or SVOD platform, you can use demand data to make more informed content acquisition, programming, and distribution decisions. Utilizing Parrot Analytics' proprietary content valuation system powered by global content demand and supply, you can determine the dollar value contribution of any title, to any platform, in any region. Demand data reveals the true value of any TV series and empowers you to make data-driven decisions.
"Back Streets (Arka Sokaklar)" offers an exemplary case of how demand data can provide an insight into the popularity of a TV series in a particular region. The show has recorded 2.8 times the audience demand of the average show in Germany over the past 30 days. Only 8.6% of all TV shows have a demand level similar to that of “Back Streets (Arka Sokaklar).” This data indicates that the German audience has high interest in the Turkish TV series. Furthermore, demand for the show has been on the increase recently, indicating that the series is gaining more popularity.
Content valuation is another aspect that can be explored using demand data. Parrot Analytics content valuation system is based on demand data. By utilizing this system, entertainment executives can use content valuation to determine how much to spend on content and estimate the ROI of a specific title on their platform. Demand data analyzes platform-specific marginal revenue contribution and how a title drives engagement across the rest of the catalog. In essence, demand data provides insight into the performance of a TV series on the platform, which can be leveraged to determine the value of exclusivity and estimate cannibalization of audiences if a title is available on multiple services.
Demand data also makes it possible to assess the global value of intellectual property. In this case, you can answer questions such as what content is most popular in my market or globally? You can use this data to determine the value of acquiring a content library or an entire content catalog, and start unbundling the value of content on any streaming service.
Demand data can be used to optimize release strategy and pricing. Executives can accurately determine the period when demand is high to release the show. Examining the top 10 global markets for a TV series can provide insights into release windows in different regions. In the case of “Back Streets (Arka Sokaklar),” demand data indicates that demand spiked in late March 2024, which means executives should take advantage of this period to maximize the show's performance.
Demand data also provides insight into what type of content to produce or acquire. In the case of "Back Streets (Arka Sokaklar)," the show had outstanding audience demand in most of the top 10 global markets, which indicates that executives can invest in similar content to cater to the market's tastes.
Additionally, demand data uncovers under-monetized titles such as "Back Streets (Arka Sokaklar)," which is under-monetized outside Turkey, where it has a demand level of 11%. By identifying the markets with low demand, executives can invest in new opportunity markets for content distribution. This data can also be useful in franchise and spin-off development.
Ultimately, demand data provides answers to various questions, such as how popular a show is relative to the market average, how popular a show is in various markets globally, and what genres are resonating most with the audience. An examination of "Back Streets (Arka Sokaklar)" using demand data reveals that the German audience has high interest in the show, and there is an opportunity for the platform to invest and leverage the show's popularity.
In conclusion, demand data is a crucial tool for entertainment executives as they make decisions about content acquisition, programming, and distribution. Parrot Analytics' content valuation system powered by global data provides executives with a range of valuable insights into audience interest, the popularity of a show, and what content to create or acquire based on market demand. By leveraging this data, executives can make informed decisions that ensure the success of their platform, thereby maximizing the value of their content.
Back Streets (Arka Sokaklar)'s travelability to Germany in the last 30 days is 12%, which means that the audience demand for Back Streets (Arka Sokaklar) is 12% of the demand in its country of origin, Turkey. Click through to another market to discover how well Back Streets (Arka Sokaklar) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Kanal D‘s Back Streets (Arka Sokaklar) 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 Kanal D 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 Back Streets (Arka Sokaklar), 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 updated on April 18, 2024, 2:02 p.m. PST using global demand analytics from Parrot Analytics for Back Streets (Arka Sokaklar) in Germany. We provide our partners with meaningful media industry know-how to help them drive better and more informed content investment strategies. Contact us today to find out more.