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, you can use demand data to make more informed content decisions and distribution strategies for your platform. Using the example of "Bizim Hikaye" in Germany during March 2024, we can see how demand data can be used to answer different questions and help you make decisions.
Firstly, content valuation is a business valuation system based on demand data. By using Parrot Analytics' content valuation system, you can determine the dollar value contribution of any title, to any platform, in any region. Such a system is useful in answering questions such as how much a TV series is worth, how much of its value is driven by demand for one of its stars, and what the baseline value of a title is.
You can also use demand data to determine the show's international potential. In this case, "Bizim Hikaye" has good travelability, its global performance is good, and its demand in its country of origin, Turkey, stands at 7.5 times the title average. Therefore, you can use demand data to determine if acquiring or producing content for international markets makes commercial sense.
Demand data can help you make programming decisions such as when and how to release a title. For instance, demand spiked in late March 2024 for "Bizim Hikaye" in Germany. By analyzing the time periods when demand is spiking or dropping, you can make informed decisions about when to release new episodes and plan your marketing campaigns accordingly.
Additionally, you can use demand data to identify audience tastes and preferences, optimize marketing campaigns, and forecast future demand for a TV series. You can also use demand data to assess how a TV series performs as an acquisition-driving or churn-reducing title. For example, "Bizim Hikaye" is ranking at the 96.4th percentile in the romance genre in Germany, which indicates it has higher demand than 96.4% of all romance titles in Germany. Therefore, acquisition teams can make informed decisions about whether to acquire additional romance titles or bank on the audience's attraction to romantic content.
Lastly, audience demand can help with subscriber acquisition and retention strategies. By analyzing the demand for a show and the results of your marketing efforts, you can identify which titles are best for attracting new subscribers or retaining your current subscribers. Moreover, the Parrot Pulse measures a show's momentum, reach, longevity, franchisability across six dimensions globally and locally, providing insights into how engaged audiences are with a show.
In conclusion, demand data can empower entertainment executives to make more informed business decisions concerning content valuation, programming, acquisition, distribution, and subscriber acquisition and retention. By leveraging demand data, executives can improve their understanding of audience preferences, programming trends, and market opportunities.
Bizim Hikaye's travelability to Germany in the last 30 days is 10%, which means that the audience demand for Bizim Hikaye is 10% of the demand in its country of origin, Turkey. Click through to another market to discover how well Bizim Hikaye travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular FOX Türkiye‘s Bizim Hikaye 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 FOX Türkiye 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 Bizim Hikaye, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Family Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:01 p.m. PST using tv demand data from Parrot Analytics for Bizim Hikaye in Germany. We provide our partners with meaningful subscription-video-on-demand analyses to help them drive better and more informed content partnership strategies. Contact us today to find out more.