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.
Demand data is a crucial tool for entertainment executives, and it can be used to make more informed content acquisition, distribution, programming, and content valuation decisions. Using the example of "Younger," here are some of the ways that demand data could be used to help make strategic decisions.
One of the primary applications of demand data is content valuation. By evaluating audience demand, executives can determine the value of a particular show or library. For example, using Parrot Analytics' content valuation system, executives could answer questions like "how much is 'Younger' worth in Australia?" or "what is the value of 'Younger' to our platform over time?"
Demand data can be used to gain insight into the popularity of specific genres. For "Younger," executives can how popular the show is within the romance genre in Australia, and compare this to its ranking in other genres, such as comedy or drama. This data can help companies to get a sense of which genres are resonating with their audiences and which may be underrepresented on their platform.
Demand data is also helpful for decision-making surrounding acquisition and programming. For example, executives could use the data to determine which shows are driving subscriptions and mitigating churn on their platform. In the case of "Younger," they could look at the other shows that fans of "Younger" also like to see what else might be a good fit for their platform's audience.
Similarly, demand data can help identify up-and-coming talent or shows that are starting to pick up momentum. In the case of "Younger," executives could monitor the show's momentum and see if it is growing in popularity over time. If so, they might want to increase their investment in the show or look for similar shows that are starting to gain traction.
Finally, demand data can be used for marketing and distribution decisions. For example, executives could use the data to optimize their marketing campaign ahead of the show's premiere or determine which platforms are best suited for distribution. For "Younger," executives could look at the show's travelability and reach to determine which global markets might be a good fit for the show and how the show should be released in those markets.
Overall, demand data is a crucial tool for entertainment executives to make more informed decisions around content acquisition, distribution, programming, and content valuation. The case of "Younger" provides an excellent example of how this data can be used to identify popular genres, evaluate the performance of both new and existing shows, and optimize marketing and distribution decisions for maximum impact.
Younger's travelability to Australia in the last 30 days is 94%, which means that the audience demand for Younger is 94% of the demand in its country of origin, United States. Click through to another market to discover how well Younger travels internationally.
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Acquire the best shows from partners such as TV Land to fortify your competitive position in Australia. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Younger), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular TV Land‘s Younger 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 Australia, 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 TV Land 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 Younger, for example, can be assessed for a market e.g. Australia, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2:03 p.m. PST using tv demand analytics from Parrot Analytics for Younger in Australia. We provide our partners with far-reaching SVOD capabilities to help them drive better and more informed content sales strategies. Contact us today to find out more.