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.
Using demand data can help decision-makers in the entertainment industry make informed choices about content acquisition, distribution, and programming. The example of "Infinity Train" in the United Kingdom during March 2024 illustrates some ways in which demand data can be used.
Firstly, demand data can enable content valuation. In this case, "Infinity Train" has 3.5 times the audience demand of the average show in the United Kingdom, indicating good demand. This high demand level can be used to gauge the economic value of the show for potential acquisition by a streaming platform or linear network. Additionally, the 22.6% increase in demand in the United Kingdom during March may indicate a growing audience for the show, indicating a potentially higher value.
Demand data can also inform programming decisions. For example, the fact that "Infinity Train" has a higher demand than 94.9% of all drama titles in the United Kingdom suggests that it may be a good fit for a linear network or streaming platform looking to add drama to its programming lineup. Additionally, the show's audience profile, as indicated by the other shows that fans of "Infinity Train" also like, provides insights into the potential audience for the show, which could help inform marketing and promotional efforts.
When it comes to distribution decisions, demand data can help identify markets in which a show is most in demand, enabling more targeted distribution efforts. In the case of "Infinity Train," the show is most in-demand in the United States, with outstanding audience demand of 5.2x, followed by Canada, where demand is good. The show also outperforms the demand of the average TV show in each of the other eight markets where it is most in-demand, indicating potentially lucrative distribution opportunities.
Finally, demand data can inform content acquisition decisions. For example, the fact that "Infinity Train" is popular in multiple markets suggests that it could have global appeal, making it an attractive prospect for a content distributor or SVOD platform looking to expand its content library. Similarly, the fact that the show's demand has been increasing recently suggests that it could be an upcoming hit.
In conclusion, demand data can help entertainment executives make more informed decisions across a range of areas, from content valuation and programming to distribution and acquisition. By providing insights into audience demand, it can help executives identify opportunities and make strategic decisions that maximize the potential value of their content.
Infinity Train's travelability to the United Kingdom in the last 30 days is 33%, which means that the audience demand for Infinity Train is 33% 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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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 Kingdom, 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. United Kingdom, which can then be benchmarked against genre averages (e.g. Cartoon), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 19, 2024, 2:02 p.m. PST using television demand data from Parrot Analytics for Infinity Train in the United Kingdom. We provide our partners with comprehensive OTT competencies to help them drive better and more informed content distribution strategies. Contact us today to find out more.