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 strategic decisions? Then you might want to consider demand data to help improve your content, acquisition, distribution or programming decisions. One show that has generated a lot of attention over the last month in the United Kingdom is "Sanditon". Let's take a closer look at this show to understand how demand data can lead to better decision-making.
Firstly, demand data can provide valuable insights into a show's popularity compared to the average TV show in the market. "Sanditon" has 4.8 times the audience demand of the average show in the United Kingdom over the last 30 days. The demand data reveals that only 8.6% of all TV shows have this level of demand. It is essential to have a benchmark against which to compare the performance of a show in a market.
Secondly, demand data can track the performance of a show over time. "Sanditon" ranked at #771 in the United Kingdom for March and has experienced a decline in its rank by 604 spots over the same period. Demand for this show has also decreased by 54.7% in the United Kingdom during March compared to its demand over the last 90 days. These trends could inform producers and distributors if changes in the marketing approach or distribution channels are needed to drive growth again.
Thirdly, demand data categorizes shows by genre, and "Sanditon" has ranked at the 98.3th percentile of the romance genre, indicating higher popularity than 98.3% of all romance titles in the United Kingdom. Such data could inform decisions around genre or content acquisition.
Fourthly, demand data can provide insights into the show at the global level. Its worldwide audience demand across all platforms is good, and its travelability performance is just okay. The show's longevity, momentum, franchisability (spin-off potential) and reach are all very good. This information could inform how to market and distribute the show internationally and spin-off potential.
Fifth, it's worthwhile to compare shows' performance over various periods, such as the last 30 days compared to the show's best performance over the year. "Sanditon" peaked at 16.7 times the average over the course of a year, but in the last 30 days, it peaked at 6.4 times the average, which is a 61.7% decrease in users' engagement. This could inform decisions about the next season and the marketing strategy.
Lastly, examining the top 10 markets could highlight where the show has performed well, and where attention should be given. Spain is "Sanditon"'s number one market globally, where the demand is good. Italy is ranked second, indicating good worldwide demand and showing there could be opportunity to acquire the show in that market.
In conclusion, demand data can be a powerful tool for executives in the entertainment industry, enabling them to make more informed content, acquisition, distribution, or programming decisions. Specifically, demand data can provide insights into a show's performance compared to the average show, its performance over time, how well it ranks within a genre, its global performance, performance relative to its peers and target markets. By using demand data, executives can incorporate data-driven insights into their decision-making, turning latent consumer demand into active decisions to improve the value of their content.
This is Sanditon'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 Sanditon travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular britbox‘s Sanditon is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Over the last 7 days, people who watch Sanditon also watch:
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 Sanditon, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Period Drama), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:01 p.m. PST using global demand datasets from Parrot Analytics for Sanditon in the United Kingdom. We provide our partners with essential SVOD competencies to help them drive better and more informed content licensing strategies. Contact us today to find out more.
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