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, it is crucial to use demand data to make informed decisions regarding content acquisition, distribution, and programming. Using "Queen Sugar" as an example, we can see how demand data can help guide these decisions.
Content Valuation:
One way to use demand data is to evaluate the value of specific content. In the case of "Queen Sugar," Parrot Analytics' content valuation system shows that the series is worth 2.4 times the average show in France over the last 30 days. This data can be used to inform decisions on how much to spend on content acquisition as well as the amount of resources to allocate for marketing and distribution.
Optimal Release Strategy and Pricing:
Demand data can also inform the best release strategy for content and its associated price points. By analyzing the demand for "Queen Sugar" over the last 30 days, we can see that its demand has been increasing recently, and it had a spike in late March 2024 in France. This data can help guide release timing and pricing decisions to maximize audience engagement and revenue.
Subscriber Acquisition and Retention:
Demand data can also help identify which titles are most likely to be popular with subscribers, driving acquisition and retention. In the case of "Queen Sugar," we can see that the show has enjoyed good demand in France over the last 30 days. Using demand data to understand which titles are most likely to drive growth and engage current subscribers can help an SVOD platform to make informed content decisions.
Global Expansion:
Demand data can also help identify content that has the potential to travel well to international markets. Although "Queen Sugar" has poor travelability globally, it has good demand performance in several countries, including the United States, Bulgaria, China, and the Netherlands. This data can help inform decisions about how and where to distribute content internationally.
Franchise Potential:
Demand data can also help identify content with franchise and spin-off potential, driving additional revenue streams beyond the initial series. In the case of "Queen Sugar," its franchisability is okay, indicating potential for additional revenue streams in the future. By analyzing demand data for titles to determine franchise potential, entertainment executives can make decisions on the titles to develop spin-offs and other derivative content.
In summary, demand data is a crucial tool for entertainment executives in making informed decisions about content acquisition, distribution, and programming. By analyzing demand data for specific titles, executives can determine the value of content, inform release timing and pricing, identify content that is most likely to drive subscriber acquisition and retention, determine global expansion potential and identify franchise and spin-off opportunities.
Queen Sugar's travelability to France in the last 30 days is 51%, which means that the audience demand for Queen Sugar is 51% of the demand in its country of origin, United States. Click through to another market to discover how well Queen Sugar travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular own‘s Queen Sugar 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 France, 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 own 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 Queen Sugar, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Family Drama), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 17, 2024, 2:04 p.m. PST using global demand analytics from Parrot Analytics for Queen Sugar in France. We provide our partners with far-reaching entertainment industry expertise to help them drive better and more informed content investment strategies. Contact us today to find out more.