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, demand data provides an opportunity to make informed content decisions in various areas such as acquisition, distribution, programming, and content valuation. By taking the example of "Married at First Sight (UK)" in Germany, we will explore how demand data can provide strategic insights.
Firstly, demand data can be used in content valuation to determine the worth of a TV series globally, and in a particular market. In Germany, demand for "Married at First Sight (UK)" is 2.5 times the average show, indicating that it has considerable demand in Germany. Audience demand provides a dollar value of the contribution of the title to a platform in any region. Therefore, entertainment executives can use this metric to determine if the content is worth a premium price in a region, or as part of a package deal.
Secondly, demand data can be used to inform acquisition decisions. Executives can use demand data to determine how much to spend on content, and conduct comparative analysis against the competition. For instance, "Married at First Sight (UK)" has 8.6% more demand than other TV shows in Germany. The show has also decreased slightly in popularity recently; thus, it is essential to consider audience demand trends when considering acquiring the license for this show.
Thirdly, demand data can be used to inform programming decisions. This data can provide insights into audience preferences and viewing behaviors. For instance, the Parrot Pulse measures the momentum, reach, travelability, longevity, and franchisability of "Married At First Sight (UK)," providing a global performance across six dimensions. This report indicates that the momentum and longevity of the show are exceptional, while travelability is average. Entertainment executives can use such insights to determine the regional release strategy, pricing, global expansion, or whether a spin-off or franchise is viable.
Lastly, demand data can be used to inform distribution decisions. The demand for "Married At First Sight (UK)" is good in various regions, including the United Kingdom, the United States, Canada, India, Netherlands, Norway, Germany, Belgium, and Australia. This information can help distribution companies make strategic decisions, such as targeting regions where the show has the most significant demand or using this show as a benchmark to evaluate the potential of other shows.
In conclusion, the insights provided by demand data can be used by entertainment executives across various areas of their businesses. By utilizing demand data in content valuation, acquisition, programming, and distribution, they can make more informed and effective strategic decisions to grow their business.
Married At First Sight (UK)'s travelability to Germany in the last 30 days is 13%, which means that the audience demand for Married At First Sight (UK) is 13% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Married At First Sight (UK) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Channel 4‘s Married At First Sight (UK) 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 Channel 4 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 Married At First Sight (UK), for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Romance Reality), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:04 p.m. PST using television demand data from Parrot Analytics for Married At First Sight (UK) in Germany. We provide our partners with smart television capabilities to help them drive better and more informed content licensing strategies. Contact us today to find out more.