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, acquisition, distribution, and programming decisions. For instance, let's use the example of "New Amsterdam (2018)" to understand how demand data can be valuable in making strategic decisions.
Content Valuation: You can use demand data to evaluate how much a show is worth. The economic valuation of content library is based on the global content demand and supply. With demand data, you can ascertain factors such as how much a show is worth, the value of a content library to a streaming platform over time, and the strategic asset of a show to a streaming platform.
Acquisition and Distribution: Demand data can enable you to make informed acquisition decisions. For instance, in the case of "New Amsterdam (2018)," audience demand increased by 79.4% in the month of March in Spain, indicating that the show is becoming more popular. By examining audience demand in different geographical markets for a show, you can make informed decisions on where to distribute or acquire a show, depending on the audience's geographic location.
Programming: You can leverage demand data for optimal programming decisions. For example, the Parrot Pulse for "New Amsterdam (2018)" shows outstanding momentum, longevity, and reach. This means the show is maintaining good audience demand over time and is attracting a broad audience. Furthermore, examining the top 10 global markets where the show is most in-demand can inform programming decisions. In this case, the show outperformed the demand of the average TV show (1x) in each of these markets, indicating a growing fan base and audience appeal.
Franchisability: Demand data can reveal the potential for a show's spin-off or franchisability. In the case of "New Amsterdam (2018)," the show's franchisability (spin-off potential) is rated as outstanding, which indicates favorable potentials for further monetization of the show through spin-offs or franchises.
Marketing and Promotions: Using demand data, you can optimize your marketing campaign, particularly for pre-releases and post-releases. By analyzing the demand data, you can obtain insights into the show's peak demand periods, compare pre or post-premiere against other shows, and determine if the show is part of the cultural zeitgeist.
In conclusion, entertainment executives can leverage demand data for informed content, acquisition, distribution, and programming decisions. Using the example of "New Amsterdam (2018)," demand data helped us estimate the show's valuation, informed acquisition and distribution potentials of the show, optimal programming decisions, potential for spin-offs or franchises, and optimized marketing campaigns. Ultimately, using demand data leads to more informed decisions that translate to increased revenue and sustained growth.
New Amsterdam (2018)'s travelability to Spain in the last 30 days is 54%, which means that the audience demand for New Amsterdam (2018) is 54% of the demand in its country of origin, United States. Click through to another market to discover how well New Amsterdam (2018) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular NBC‘s New Amsterdam (2018) 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 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 New Amsterdam (2018), for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Medical Drama), using our globally standardized Demand Expressions® metric.
This page has been updated on April 22, 2024, 2:02 p.m. PST using demand metrics from Parrot Analytics for New Amsterdam (2018) in Spain. We provide our partners with extensive TV capabilities to help them drive better and more informed content sales strategies. Contact us today to find out more.