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.
For entertainment executives working in various sectors of the industry, using demand data can be an extremely valuable tool in making informed decisions about content, acquisitions, distribution, and programming. Let's take a look at how demand data for "Infinity Train" in France during March 2024 can be used to inform these types of decisions.
One of the key ways in which demand data can be used is content valuation. By analyzing demand data, executives can gain insights into how much a particular piece of content is worth, how much of its value is driven by the popularity of specific stars, and how it is performing in terms of driving subscriptions and reducing churn for a streaming service. In the case of "Infinity Train", we can see that the demand is good, with 2.2 times the audience demand of the average show in France over the last 30 days and higher demand than 93.2% of all drama titles in France. However, demand for the show has been decreasing recently. By examining this data, executives can make more informed decisions about how to value the content and where to focus their resources.
Demand data can also be used to inform acquisition decisions. By understanding the comparative popularity of "Infinity Train" with other shows that fans of the show also like, such as "Bob's Burgers" and "The Owl House", executives can gain insights into what types of shows and content are likely to perform well with their existing audience. Furthermore, by examining the show's performance in different global markets, executives can identify new opportunities for content distribution and tailor their acquisition strategy accordingly.
For OTT and SVOD platforms, understanding audience demand is crucial for making programming decisions. By exploring the top 10 global markets where "Infinity Train" is most in-demand, executives can identify where the show is performing well and tailor their programming accordingly. Additionally, by examining the show's performance on a rolling year basis, executives can gain insights into longer-term trends, such as whether its popularity is increasing or decreasing, and make accordingly informed programming decisions.
Demand data is also valuable for content distributors and linear and pay TV networks. By analyzing demand data, executives can determine the best release strategy for particular pieces of content, how effective marketing campaigns are likely to be, and which titles are likely to attract new subscribers or retain existing ones. For example, executives may note that demand for "Infinity Train" spiked in late March 2024 for France, suggesting that the show may be resonating more strongly with audiences, and adjust their marketing accordingly.
Overall, demand data is an incredibly powerful tool for entertainment executives in making more informed decisions about content, acquisitions, distribution, and programming. By analyzing demand data for shows such as "Infinity Train", executives can gain insights into audience preferences, identify opportunities for growth, and make more informed strategic decisions to drive the success of their businesses.
Infinity Train's travelability to France in the last 30 days is 13%, which means that the audience demand for Infinity Train is 13% of the demand in its country of origin, United States. Click through to another market to discover how well Infinity Train travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular HBO Max‘s Infinity Train 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 HBO Max 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 Infinity Train, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Cartoon), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2:03 p.m. PST using global television demand datasets from Parrot Analytics for Infinity Train in France. We provide our partners with comprehensive entertainment industry insight to help them drive better and more informed content sales strategies. Contact us today to find out more.