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.
Entertainment executives in various roles can benefit greatly from demand data analytics when making informed content, acquisition, distribution, or programming decisions. They can leverage data on audience demand to understand which shows or titles are most popular, and which genres are resonating with audiences in a particular market. In the case of "Mobile Suit Gundam: The Witch From Mercury," the data provides insights that can be used by TV executives to inform their strategic decision making process.
For TV series financing companies or studios, content valuation can be based on demand data to determine the worth of a show. By tapping into Parrot Analytics' content valuation system, executives can estimate the dollar value of "Mobile Suit Gundam: The Witch From Mercury" to any global platform in any given region. Demand data can also help with decisions concerning supply and demand, such as identifying which type of content is more likely to be acquired or produced.
For entertainment talent agencies, demand data can be used to identify which actors or actresses are driving audience demand for a particular show. This can be useful when negotiating with production companies for higher pay for a show's star talent, or to help agents identify which talent to partner with to expand an audience.
For content distributors or linear or pay TV networks, data on audience demand can be used to inform programming decisions. For "Mobile Suit Gundam: The Witch From Mercury," executives can note that the show achieved peak rank #601 in Brazil and moved up by 158 spots during March, indicating that it may be a good programming choice for the region. Additionally, knowing that demand for the show spiked in late March, executives may want to consider adding it to a program schedule earlier in the day or week, or run a marketing campaign to capitalize on the increased demand.
For OTT platforms and SVOD platforms, demand data can be used to assess a TV series' ability to drive subscriptions, mitigate churn, and inform content acquisition. For "Mobile Suit Gundam: The Witch From Mercury," we can see that audience demand has increased in Brazil by 47.2% in March alone. By measuring the specific marginal revenue contribution and how the title drives engagement across the rest of the catalog, platform-specific ROI for the content can also be calculated. Finally, by using affinity analysis to determine which shows viewers who also like "Mobile Suit Gundam: The Witch From Mercury" are watching, executives can broaden their understanding of the viewers' taste clusters and preferences.
In conclusion, demand data analytics can provide valuable insights for a variety of entertainment executives across the industry. By investing in a system like Parrot Analytics' demand data platform, they can make better informed creative and business decisions. In the case of "Mobile Suit Gundam: The Witch From Mercury," demand data can be used to help executives understand how much the show is worth to a platform, which markets have the greatest demand, and whether it's peaking or losing popularity. It can also provide insights into programming decisions, talent partnerships, and global expansion opportunities.
Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女)'s travelability to Brazil in the last 30 days is 27%, which means that the audience demand for Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女) is 27% of the demand in its country of origin, Japan. Click through to another market to discover how well Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular MBS‘s Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女) 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 Brazil, 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 MBS 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 Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女), for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Japanese Animation), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:03 p.m. PST using global tv demand datasets from Parrot Analytics for Mobile Suit Gundam: The Witch From Mercury (機動戦士ガンダム 水星の魔女) in Brazil. We provide our partners with deep OTT insight to help them drive better and more informed content partnership strategies. Contact us today to find out more.