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 a TV executive involved in the decision-making process for content acquisition, programming, distribution, or content valuation, understanding how to leverage audience demand data can help make more informed decisions. The anime series, "Is It Wrong To Try To Pick Up Girls In A Dungeon?" offers useful insights on how demand data can be used for strategic purposes.
Demand data provides insights on the market potential of a TV series and informs content valuation. For instance, "Is It Wrong To Try To Pick Up Girls In A Dungeon?" has outstanding audience demand with 10.6 times the audience demand of the average show in Japan over the past 30 days, making it a valuable series for any platform. When considered relative to other series in the romance genre, the show ranks at the 99.8th percentile in Japan, indicating higher demand than 99.8% of all romance titles in the country. As such, the show has clear content valuation based on its demand data and should be highly priced.
Demand data can help identify popular content that is attracting audiences. For instance, shows like "The Rising Of The Shield Hero" and "Attack On Titan" are similar to "Is It Wrong To Try To Pick Up Girls In A Dungeon?" and popular with fans. This data can assist content distributors in selecting content and evaluating how these shows would fit their portfolio by looking at their audience potential.
Demand data is useful for audience retention or acquisition, driving decisions on shows that resonate well with viewers. TV executives can leverage demand data to assess how well a show's demand and viewership are holding up over time, as in the case of "Is It Wrong To Try To Pick Up Girls In A Dungeon?" With a decrease in the show's audience demand in Japan by 21.5% in October, TV executives may need to identify the cause of this decreasing trend and take remedial action to sustain the demand, such as promoting the series or changing the time slot.
Furthermore, demand data provides insights into the global travelability of a series. For example, "Is It Wrong To Try To Pick Up Girls In A Dungeon?" is an outstanding performer across multiple dimensions, including longevity, momentum, and reach. TV executives can then use these insights to build their content's global appeal and geographic reach, as was the case for the success of "Is It Wrong To Try To Pick Up Girls In A Dungeon?" in the US market and its good performance in countries like China, France, Russia, Netherlands, Poland, Canada, and Germany. These insights can help address key questions such as which platforms to target for distribution of content or how to optimize a marketing campaign ahead of release.
In summary, demand data is an essential tool for TV executives in making informed decisions about content acquisition, programming, and distribution decisions. By examining the performance of "Is It Wrong To Try To Pick Up Girls In A Dungeon?" and similar TV series, executives can glean valuable insights into audience potential, content valuation, and viewership trends, among other strategic considerations.
This is Is It Wrong To Try To Pick Up Girls In A Dungeon? (ダンジョンに出会いを求めるのは間違っているだろうか)'s home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Is It Wrong To Try To Pick Up Girls In A Dungeon? (ダンジョンに出会いを求めるのは間違っているだろうか) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Tokyo MX‘s Is It Wrong To Try To Pick Up Girls In A Dungeon? (ダンジョンに出会いを求めるのは間違っているだろうか) 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 Japan, 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 Tokyo MX 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 Is It Wrong To Try To Pick Up Girls In A Dungeon? (ダンジョンに出会いを求めるのは間違っているだろうか), for example, can be assessed for a market e.g. Japan, which can then be benchmarked against genre averages (e.g. Japanese Animation), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 18, 2024, 2:02 p.m. PST using television demand datasets from Parrot Analytics for Is It Wrong To Try To Pick Up Girls In A Dungeon? (ダンジョンに出会いを求めるのは間違っているだろうか) in Japan. We provide our partners with essential TV know-how to help them drive better and more informed content investment strategies. Contact us today to find out more.