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 entertainment executives make important decisions regarding content valuation, acquisition, distribution, and programming, demand data creates opportunities to create more informed content decisions that ultimately increase revenue. Using demand data, companies can focus on better understanding audience preferences and develop a more comprehensive content strategy. Take the example of "Machikado Mazoku" to understand how demand data can help executives make relevant decisions to increase the show's popularity and revenue.
Content Valuation
Using demand data, analysts can ascertain key insights that enable them to determine how much a specific show is worth. You can calculate a detailed content library's dollar value and unveil the price decrease or increase over time. You can also estimate how much a title's value decreases or increases based on a particular star's demand. Through demand data, we can determine "Machikado Mazoku's" value to its Canadian audience and the potential to expand to other markets globally.
Acquisition Decisions
Content acquisition choices are significant, and demand data assists with making educated decisions. Decisions concerning which shows to binge-watch and keep subscribers engaged and watch-time consistent are all based on audience preference and market demand. Therefore, acquiring a show with high global demand, like "Machikado Mazoku," for a particular region is advantageous.
Distribution Decisions
Understanding audience preferences assists entertainment executives in choosing platforms that fit the show's preferences, creating a tailored campaign to maximize visibility. Demand data facilitates identifying any potential competitive services interested in acquiring the same content.
Programming Decisions
Studios, networks, or platforms can use demand data to help them decide when to release a show and which marketing strategy will be most effective. By analyzing audience preferences, studios can optimize programming decisions and marketing campaigns to expand a show's viewership, such as the way executives behind "Machikado Mazoku" can utilize data to decide to increase the show's popularity in Canada.
Analyzing "Machikado Mazoku" using demand data over the last 30 days emphasizes that the show has 2.5 times the average show's audience demand in Canada and has been rising lately. The audience demand for the show has dropped 36.8%, but its outstanding global demand across all platforms makes it an acquisition-worthy title. While the peak rank dropped 369 spots during March, the Parrot Pulse data highlights that the series has terrific momentum with plenty of franchising opportunities.
Furthermore, executives can use demand data to identify similar shows to "Machikado Mazoku," which can enable them to optimize the content library to maintain existing subscribers engaged and attract new ones. Finally, demand data can assist in identifying which markets, like China, where the show is the most popular, global appeal is present, and where funds need to be allocated to maximize future returns.
Overall, analyzing "Machikado Mazoku" using demand data provides information-rich insights to help content executives evaluate the worth and popularity of content accurately. Considering these insights when making significant decisions that impact the bottom line will undoubtedly prove beneficial to the enterprise.
Machikado Mazoku (まちカドまぞく)'s travelability to Canada in the last 30 days is 33%, which means that the audience demand for Machikado Mazoku (まちカドまぞく) is 33% of the demand in its country of origin, Japan. Click through to another market to discover how well Machikado Mazoku (まちカドまぞく) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular TBS Television‘s Machikado Mazoku (まちカドまぞく) 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 Canada, 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 TBS Television 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 Machikado Mazoku (まちカドまぞく), for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Japanese Animation), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 19, 2024, 2:01 p.m. PST using tv demand metrics from Parrot Analytics for Machikado Mazoku (まちカドまぞく) in Canada. We provide our partners with far-reaching SVOD analyses to help them drive better and more informed content investment strategies. Contact us today to find out more.