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, understanding the demand for your content is crucial for making informed decisions about content valuation, acquisition, distribution, and programming. Using the example of "Bachelor In Paradise (US)" in France, we can see how demand data can provide valuable insights.
One way to use demand data is to assess content valuation. By analyzing the show's demand, you can get a sense of how much it's worth and compare it to other shows on the market. In this case, "Bachelor In Paradise (US)" had 9.6 times the audience demand of the average show in France over the last 30 days, indicating that its value is quite high. Furthermore, with this level of demand, it is in the 2.7% of all TV shows in France, emphasizing its value in the market. Additionally, you could use demand data to identify the value of the show's library to a platform over time.
Demand data can also help with decision-making around content acquisition. By understanding which shows "Bachelor In Paradise (US)" is most similar to, executives could determine if acquiring those shows would be beneficial for their platform or network. Similarly, examining the show's travelability rating can help identify whether it would be successful in other regions. In this case, "Bachelor In Paradise (US)" had good travelability, indicating that it could be successful in other global markets beyond the United States.
Demand data can also inform programming decisions by highlighting areas of opportunity or potential risk. For example, although "Bachelor In Paradise (US)" had outstanding demand in France, the show dropped 1108 spots in its rank during February, indicating potential areas for improvement in the programming. Similarly, by analyzing which shows "Bachelor In Paradise (US)" fans are also watching, executives can determine which genres are trending and which shows should be scheduled together to attract more viewers.
In terms of distribution, demand data could provide executives with insights on geographical demand, enabling them to make data-driven decisions about which regions and platforms to target. For example, by examining the top 10 global markets where "Bachelor In Paradise (US)" is most in-demand, executives could attempt to acquire the rights to the series in those regions. According to the data, France ranked second, and the show had outstanding demand in the Netherlands and Canada.
Demand data can also help with subscriber acquisition and retention. For instance, if executives were considering which shows to buy to attract new customers, they could look at which titles are most popular with their current audience and try to find similar shows. On the other hand, if executives were thinking about which titles to buy to keep their current audience happy, they could examine the shows that fans of "Bachelor In Paradise (US)" also like, such as "The Bachelor (US)," "Married At First Sight (US)," and "Survivor."
In conclusion, there are several ways that entertainment executives can use demand data to make informed decisions about content valuation, acquisition, distribution, and programming. By analyzing the demand of a show like "Bachelor In Paradise (US)" in France, executives can gain valuable insights into what their audiences want and how they can best serve them. Whether it's assessing content valuation, identifying areas for improvement in programming, or determining which regions and platforms to target, demand data is a powerful tool for making informed content decisions.
Bachelor In Paradise (US)'s travelability to France in the last 30 days is 13%, which means that the audience demand for Bachelor In Paradise (US) is 13% of the demand in its country of origin, United States. Click through to another market to discover how well Bachelor In Paradise (US) travels internationally.
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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 abc 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 Bachelor In Paradise (US), for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Romance Reality), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2 p.m. PST using demand analytics from Parrot Analytics for Bachelor In Paradise (US) in France. We provide our partners with comprehensive TV competencies to help them drive better and more informed content licensing strategies. Contact us today to find out more.