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.
Are you an entertainment executive looking to make better content decisions, acquisition decisions, or distribution decisions for your streaming platform, TV series financing company, or linear network? Then look no further than the powerful insights provided by demand data.
Take the example of Spitting Image (2020), a revival of the classic satire show using puppets that are caricatures of major public figures. By analyzing the show's demand data for the month of March 2024 in the United Kingdom, we can gain valuable insights that inform strategic decisions concerning programming, content valuation, and distribution.
For content valuation, we can use demand data to determine how much a title is worth to a platform. In the case of Spitting Image (2020), we see that the show has 3.6 times the audience demand of the average show in the United Kingdom over the last 30 days, indicating that the show is in good demand. This level of demand puts the show in the top 8.6% of all TV shows for demand. We also see that the show's demand has been increasing over the last 30 days, with a 38.8% increase in peak demand compared to the previous year. This information can help executives determine the show's worth to their platform and inform content acquisition and programming decisions.
When it comes to programming decisions, demand data helps in choosing which content is most popular in a given market, making it easier to select titles that are likely to drive viewership and subscription growth. In the case of Spitting Image (2020), we see that demand for the show has increased in the United Kingdom by 11.2% during March. Furthermore, the show ranks in the 95.0th percentile in the comedy genre in March, indicating higher demand than 95.0% of all comedy titles in the United Kingdom. Executives looking to acquire or produce comedy content can use this information to identify successful titles in this genre and guide their programming decisions.
Demand data can also be used to inform distribution decisions. For instance, analyzing the show's global performance across six dimensions can help executives determine which markets are most valuable to target. According to Parrot Analytics' independent measure of the show's global performance, Spitting Image (2020)'s worldwide audience demand across all platforms is okay, whilst its travelability - how well it performs in international markets relative to its home market - is poor. However, the show is doing well in its number one market, the United Kingdom, achieving good audience demand of 0.7x. This information can guide executives in making decisions around where to distribute their content and how to allocate funds to target valuable global markets.
By leveraging demand data, entertainment executives can make more informed content, acquisition, and distribution decisions that are aligned with current audience preferences and trends. Whether it's using demand data to determine the worth of a title, inform programming decisions, or guide distribution decisions, demand should be at the forefront of any strategic decision-making process.
This is Spitting Image (2020)'s home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Spitting Image (2020) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular britbox‘s Spitting Image (2020) 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 the United Kingdom, 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 britbox 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 Spitting Image (2020), for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Satire), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:03 p.m. PST using tv demand data from Parrot Analytics for Spitting Image (2020) in the United Kingdom. We provide our partners with smart OTT competencies to help them drive better and more informed content partnership strategies. Contact us today to find out more.