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.
In the fast-paced world of entertainment, making informed content decisions is key to success, and demand data can provide executives with the insights necessary to help drive these decisions. For example, let's take a closer look at how demand data can be used to make informed decisions about programming the hit show "Loki" in Poland during the month of October 2023.
One way demand data can be used is to help with programming decisions. With "Loki" having 23.5 times the audience demand of the average show in Poland over the last 30 days, it's clear that this show has been extremely popular. In addition, "Loki" achieved the peak rank of #1 in Poland, only 2.7% of all TV shows have this level of demand. Knowing this information, executives at a TV network in Poland could make strategic programming decisions centered around "Loki". For example, by airing "Loki" during a prime time slot, the TV network could potentially attract a larger audience and increase overall viewership in Poland.
Additionally, by examining other shows that fans of "Loki" also enjoy, such as "Ahsoka", "Rick And Morty", "Foundation", "The Mandalorian", "Star Trek: Lower Decks", "Secret Invasion", "The Wheel Of Time", "Invasion" and "Star Trek: Strange New Worlds", executives could get an idea for other programming decisions that could resonate with this audience.
Demand data can also be used to inform acquisition decisions. For example, a streaming platform in Poland could consider acquiring "Loki" to add to their content library based on its exceptional audience demand, including its high percentile rank within the action genre in Poland and the fact that audience demand for the show has increased by 34.3% during October. This information could serve as a valuable piece of data to consider when negotiating deals with studios or content distributors.
Furthermore, demand data can be used to inform content valuation decisions. With Parrot Analytics' content valuation system, it's possible to determine the dollar value contribution of any title, to any platform, in any region. Accordingly, by using content valuation based on demand data, media executives can decide how much to spend on content or on acquisition based on past performances and potential demand. The exceptional demand for "Loki" in Poland compared to the average show there over the last 30 days could inform a media executive about the potential revenue contribution of the show. Additionally, the fact that "Loki" has outstanding travelability and longevity could also inform an executive's decision-making process for the allocation of future content investments.
Finally, demand data can be used to inform distribution decisions. With "Loki" outperforming the average TV show in each of the top 10 global markets where it is most in-demand, executives could make strategic decisions to distribute this show in different countries and markets where there is a high demand based on that data. Parrot Analytics' travelability score could be particularly helpful here in that it measures a show's international demand relative to its home market.
In conclusion, demand data can be used by media executives in various capacities such as programming, acquisition, content valuation, and distribution decisions. By using demand data to inform these decisions, entertainment executives can make more informed decisions that may lead to success and revenue generation. "Loki" is an example of a hit show that has set a high standard for audience demand in various global markets, which executives can leverage through demand data to serve their businesses better.
Loki's travelability to Poland in the last 30 days is 58%, which means that the audience demand for Loki is 58% of the demand in its country of origin, United States. Click through to another market to discover how well Loki travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Disney+‘s Loki 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 Poland, 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 Disney+ 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 Loki, for example, can be assessed for a market e.g. Poland, which can then be benchmarked against genre averages (e.g. Superhero Series), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:01 p.m. PST using television demand metrics from Parrot Analytics for Loki in Poland. We provide our partners with deep subscription-video-on-demand competencies to help them drive better and more informed content distribution strategies. Contact us today to find out more.