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 have access to a wealth of data insights that can help you make more informed decisions about content acquisition, distribution, and programming. One of the key tools at your disposal is demand data, which measures the popularity of a particular TV show based on audience engagement across multiple platforms.
Using the example of "Back To Life," we can see how demand data can provide valuable insights into the performance of a given TV series. For example, "Back To Life" has an audience demand of 2.2 times the average show in the United Kingdom over the last 30 days, indicating that demand for the show is good. However, its recent performance has been declining, as its demand has decreased by 15.0% during February in the UK. These trends in demand can provide you with critical information when making content acquisition or renewal decisions.
One key advantage of using demand data is that it enables you to compare the popularity of a given show to other titles in its genre or region. For instance, "Back To Life" ranks at the 92.3th percentile in the drama genre in February in the UK. This means that it has higher demand than 92.3% of all drama titles in the country. This level of demand indicates that "Back To Life" could be a valuable asset for your streaming platform or linear network, particularly if you are looking to appeal to drama fans.
Another way that demand data can aid content valuation is by providing an independent measure of a show's global performance across six dimensions: worldwide audience demand, travelability, longevity, momentum, franchisability, and reach. For "Back To Life," we can see that it has okay worldwide audience demand, poor travelability, okay longevity, poor momentum, poor franchisability, and okay reach. By analyzing these various dimensions of demand, you can gain a better understanding of how a show is performing relative to its peers, and make more strategic decisions around content acquisition, distribution, and programming.
Finally, examining trends in demand can help you identify opportunities for growth or areas for improvement. For example, "Back To Life" saw a 41.6% increase in peak demand over the last 30 days compared to its rolling year average, indicating a rising popularity for the show. By monitoring trends in demand, you can identify patterns and insights that can inform your content strategy and help you stay ahead of the competition.
In summary, demand data can provide a powerful tool for entertainment executives looking to make informed decisions about content valuation, acquisition, distribution, and programming. By using this data to analyze the performance of shows like "Back To Life," you can gain a better understanding of audience engagement across multiple dimensions and make more strategic decisions that maximize the value of your content.
This is Back To Life'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 Back To Life travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC Three‘s Back To Life 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 BBC Three 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 Back To Life, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 22, 2024, 2:01 p.m. PST using television demand metrics from Parrot Analytics for Back To Life in the United Kingdom. We provide our partners with essential content expertise to help them drive better and more informed content partnership strategies. Contact us today to find out more.