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, using demand data can help you make more informed decisions when it comes to content creation, acquisition, distribution, and programming. For instance, looking at the example of "Mieruko-chan," we can see how its audience demand reveals valuable insights that can inform business decisions.
Firstly, content valuation can use demand data to answer questions about how much a show is worth, how much its value is driven by the demand for its stars, and how the value of a content library evolves over time. By analyzing the demand for "Mieruko-chan," we can infer that the show has good demand in the United States, with 6.1 times the audience demand of the average show in the country over the last 30 days. This information can help an executive understand how valuable this show is to their platform.
Demand data can also help with acquisition and distribution decisions. By understanding a show's current performance and potential impact on a platform's audience, executives can make informed decisions about which titles to acquire or distribute. For instance, by seeing that "Mieruko-chan" has increased in demand by 9.7% in the US in April and has good demand in several other global markets, an executive could assume that the show has potential for international expansion.
Programmers can use demand data to understand their audience's preferences and optimize their schedule based on what content is resonating with their viewers. Knowing that "Mieruko-chan" has higher demand than 93.2% of all comedy titles in the US in April can inform programming decisions, including when to air the show and how to promote it to the right audience.
Additionally, understanding a show's performance over time can inform decisions around franchise potential, spin-offs or marketing campaigns. For example, "Mieruko-chan" has a poor franchisability rating, but with its recent increasing demand momentum, it may be worth investigating whether spin-offs or other channels could generate more interest in the title.
In conclusion, analyzing demand data for a given title can help inform various strategic decision-making processes. In the case of "Mieruko-chan," by analyzing its global and domestic demand, audience preferences, and performance over time, executives can make more informed content decisions that benefit their platform or company.
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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 AT-X 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 Mieruko-chan, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. ), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:01 p.m. PST using tv demand data from Parrot Analytics for Mieruko-chan in the United States. We provide our partners with far-reaching subscription-video-on-demand know-how to help them drive better and more informed content advertising strategies. Contact us today to find out more.