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 an entertainment executive, demand data can be quite useful in the decision-making process. By examining the case study of "Dragon Ball Z Kai," we can understand how demand data can help make more informed content, acquisition, distribution and programming decisions.
When deciding how much to spend on a series or a content library, demand data can be used to determine its value. Parrot Analytics' content valuation system, based on demand data, can reveal the dollar value contribution of any title to any platform in any region. By using demand data, one can calculate the ROI a specific title will bring to any given platform. For instance, the demand for "Dragon Ball Z Kai" in the United States is good, with 4.4 times the audience demand of the average show over the last 30 days, indicating that the show adds value to the platforms that it is available on.
Acquisitions and Distribution Decisions:
Demand data can also help with decisions concerning supply and demand. For instance, if an acquisition executive wants to know which titles to buy to attract new subscribers, they can use demand data to assess a TV series' ability to drive subscriptions and reduce churn. Similarly, demand data can help determine which titles should be acquired to retain current audiences. When assessing the global popularity of content, demand data can help reveal the most popular genres in different markets, enabling executives to identify the type of content that they should acquire or produce.
When planning a release strategy, demand data can come in handy. Demand data can determine what time of year to release a show, its optimal pricing, and the best combination of episodes to drive audience engagement. For instance, analyzing demand trends for "Dragon Ball Z Kai" reveals that its demand spiked in late October 2023, enabling executives to plan around such trends when programming future content.
Demand data can help optimize pre-release marketing campaigns for upcoming productions. By understanding the affinity analysis and taste clusters of a show's audience, executives can determine the best talent, brand partnerships, and TV shows that will help industrialize and attract or retain subscribers.
In conclusion, executives working in entertainment companies can use demand data to make more informed content, acquisition, distribution and programming decisions. The demand trend analysis of "Dragon Ball Z Kai" in the United States over the last 30 days presents a useful blueprint of how demand data analysis can be used in the decision-making process.
Dragon Ball Z Kai (ドラゴンボール改)'s travelability to the United States in the last 30 days is 98%, which means that the audience demand for Dragon Ball Z Kai (ドラゴンボール改) is 98% of the demand in its country of origin, Japan. Click through to another market to discover how well Dragon Ball Z Kai (ドラゴンボール改) 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 States, 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 Fuji TV 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 Dragon Ball Z Kai (ドラゴンボール改), for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Japanese Animation), using our globally standardized Demand Expressions® metric.
This page has been modified on Nov. 30, 2023, 1 p.m. PST using demand analytics from Parrot Analytics for Dragon Ball Z Kai (ドラゴンボール改) in the United States. We provide our partners with deep media industry capabilities to help them drive better and more informed content sales strategies. Contact us today to find out more.