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 leverage demand data to make informed content, acquisition, distribution, and programming decisions. The analysis of "Severance (2022)" in Spain in March 2024 provides a great example of how this data can be used.
Firstly, demand data can be used for content valuation. By using Parrot Analytics' content valuation system, which is based on demand data, you can determine how much to spend on content. The system reveals the dollar value contribution of any title to any platform in any region. This enables you to ascertain the value of content on a streaming service, and you can calculate the return on investment of a specific title for any given platform using demand data.
Another way to use demand data is to inform decisions concerning supply and demand. By analyzing demand data, you can identify which types of content show an opportunity for acquisition or production. This would allow you to make more informed decisions about which shows to go after and where to invest your production resources.
Furthermore, demand data provides valuable insights into subscriber retention and acquisition. For instance, by analyzing the type of shows viewers like and how popular they are in different regions, you can make better decisions about which titles to purchase. This would keep current audiences engaged with your streaming service and help attract new subscribers as well.
Demand data can also enable you to optimize your release strategy and pricing. By identifying demand spikes, such as "Severance (2022)" experienced in late March in Spain, you can determine the best time to release a new title to maximize its performance and reach.
Moreover, analyzing the top markets where a TV series is in demand over the last 30 days can reveal how the show is doing globally. In "Severance (2022)"'s case, it outperforms the demand of the average TV show in each market. This information can be used to inform distribution decisions and to identify potential new markets for content distribution.
Finally, demand data can be used in competitive benchmarking, pre-release marketing, affinity analysis, quantifying taste clusters, and discovery and recommendations. These tools can help you determine how well your content is performing compared to other titles available on the market, optimize your marketing campaign, find the best talent or brand partnership, gather insights about your current audience, and ensure your content is seen by the right audience on your platform.
In conclusion, demand data is a valuable resource that can be used to make informed decisions about content, acquisition, distribution, and programming. By leveraging demand data, entertainment executives can determine content valuation, inform supply and demand decisions, retain and acquire subscribers, optimize release strategy and pricing, benchmark against competitors, and much more.
Severance (2022)'s travelability to Spain in the last 30 days is 64%, which means that the audience demand for Severance (2022) is 64% of the demand in its country of origin, United States. Click through to another market to discover how well Severance (2022) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Apple TV+‘s Severance (2022) 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 Spain, 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 Severance (2022), for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Mystery Drama), using our globally standardized Demand Expressions® metric.
This page has been updated on April 22, 2024, 2 p.m. PST using global television demand metrics from Parrot Analytics for Severance (2022) in Spain. We provide our partners with smart media industry insight to help them drive better and more informed content licensing strategies. Contact us today to find out more.