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, the decisions you make relating to content acquisition, distribution, and programming have a crucial impact on whether your business succeeds or fails. Informed decisions can be made by analyzing demand data, which provides a valuable understanding of audience preferences and helps industry players maximize growth opportunities.
Using the example of "The Last Ship", we can explore how demand data can be analyzed to aid strategic decision making. Firstly, content valuation can be achieved by using demand data to understand the monetary value of a specific title, based on how much it is in demand. The popularity of "The Last Ship" in the United States is 6.5 times higher than the average TV show. This shows that it has a high valuation and could be a valuable acquisition for a streaming platform.
Demand data also enables the analysis of geographical preferences, highlighting which regions have the greatest demand for a title. In this example, the show's top markets and their demand levels were revealed, with China leading in demand. As an executive, understanding this type of data can help you make better acquisition and distribution decisions and choose which regions to target more aggressively to expand your viewership.
Another way in which demand data can guide strategic decisions is by understanding the behavior of the audience for a particular title. By examining the behavior of fans of "The Last Ship," executives can gain insight into their preferences. Knowing which shows, genres, or personalities fans of a show like can help influence casting decisions, spin-off, or franchise development.
Finally, analyzing demand data can help executives understand the longevity of a show's demand, its pace of growth, and how well it is maintained with time. In this case, "The Last Ship" has outstanding momentum, which would suggest that the show is picking up more fans and watchers. Executives can use these insights to understand what is driving the show's success and how to invest in the right areas to see growth and continued success.
In conclusion, demand data has the power to drive strategic decision-making for entertainment executives. Analyzing data on content valuation, geographical preferences, audience behavior, and the longevity of demand can help guide content acquisition, distribution, and programming decisions. Ultimately, using demand data can help executives ensure that their businesses thrive in a highly competitive and ever-changing industry.
This is The Last Ship'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 The Last Ship travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular tnt‘s The Last Ship 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 States, 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 tnt 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 The Last Ship, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Apocalyptic Drama), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 18, 2024, 2 p.m. PST using global tv demand datasets from Parrot Analytics for The Last Ship in the United States. We provide our partners with comprehensive TV industry insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.