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 are likely facing content or acquisition decisions on a daily basis. To make more informed decisions, you need data to understand what audiences are watching, what they want to watch, and how they are consuming TV content. Demand data provides you with all of these insights and can help you make more informed decisions around content valuation, distribution, programming, and acquisitions.
Take "Hilda" as an example. Using Parrot Analytics demand data, we can see that "Hilda" has 2.1 times the audience demand of the average show in Spain over the last 30 days. This is a good indicator of the show's popularity. In fact, only 8.6% of all TV shows have this level of demand. Moreover, its demand has been increasing recently. Knowing this, you could use demand data to make programming decisions around scheduling "Hilda" episodes to take advantage of its growing popularity.
You can also use demand data to evaluate its market potential. We can see from the Parrot Pulse analysis that the worldwide demand for "Hilda" is outstanding, which suggests it could perform well in other markets if it has not already gone there. "Hilda" has higher demand than 95.8% of all comedy titles in Spain, indicating a strong appeal to comedy fans. This information could inform decisions on content production or acquisition in the comedy genre.
Beyond just market potential, demand data can also help you identify opportunities based on audience preferences. Using the example of "Hilda," we can see that some of its fans also like "The Ghost And Molly McGee," "We Bare Bears," and "Hailey's On It!," which could be useful information for content acquisition or production decisions in the future.
In terms of content distribution, demand data can be used to identify the best markets for a show. For “Hilda,” we can see that China is the top global market for the show, with an Outstanding audience demand of 8.2x. The show also has strong demand in the United States, the United Kingdom, Russia, and Canada. Knowing this information can be useful for negotiating distribution deals and selecting the right territories to target.
Demand data can also provide insight into a show’s long-term value and potential for franchise opportunities. With “Hilda,” we can see that its longevity is good and that its momentum, i.e. the pace of growth, is also good. Finally, its franchisability (spin-off potential) is okay and its reach (the number of people expressing demand for a show) is okay. All of this insight can be used to evaluate content’s ROI and decide which shows should be prioritized for investment.
Finally, demand data can be used to optimize marketing campaigns for your shows ahead of their premieres. Taking note that demand spiked for the show in late January of 2024, you could use this information to determine optimal timing for promo pushes or to prioritize specific ad channels.
In all, demand data is multi-dimensional and offers a great starting point for evaluating the viability of a show, assessing its potential for the future, and making informed content, acquisition, programming and distribution decisions.
Hilda's travelability to Spain in the last 30 days is 26%, which means that the audience demand for Hilda is 26% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Hilda travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s Hilda 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 Netflix 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 Hilda, for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Animated Comedy), using our globally standardized Demand Expressions® metric.
This page has been enhanced on March 28, 2024, 3:37 a.m. PST using global demand metrics from Parrot Analytics for Hilda in Spain. We provide our partners with essential content analyses to help them drive better and more informed content sales strategies. Contact us today to find out more.