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.
If you work in the entertainment industry, you know how crucial it is to make informed content decisions to capture your audience's attention and maintain their engagement. Getting these decisions right can be the difference between commercial success and failure. However, the entertainment industry often relies on gut instinct or subjective evaluations of talent, which can lead to inaccurate insights about content that may not necessarily be backed up by audience demand.
This is where the use of demand data comes in. Demand data can be used to identify the shows that are resonating with audiences, providing accurate insights into how a show is performing in different markets worldwide. In turn, this data can be used to make more informed decisions about content valuation, acquisition, and programming, among other things. Below, we'll examine how content decision-makers can utilize the demand data for "Trinkets" from March 2024 to make informed decisions.
Content valuation: Using demand data, you can calculate the dollar value of a show to determine how much to spend on content. Parrot Analytics' content valuation system takes this into account. Knowing a show's audience demand and popularity allows executives to price the content more accurately, ensuring that they make informed decisions when acquiring or licensing content.
Determining a show's value: Demand data can be used to calculate the worth of "Trinkets" in terms of the amount of revenue it provides to the platform. This method can help decision-makers calculate how a show contributes to the platform's overall revenue, establish how much to invest in the show and make decisions about which shows to prioritize.
Optimizing content strategy: Demand data can be used to create evidence-based content strategy plans. By utilizing the show's similar audience insights, the executives can modify their content offering and capitalize on the current audience trend. This method ensures that their content ecosystem caters to the audience's tastes and avoids wasting resources with content that may not find an audience.
Valuing content for a new platform: Demand data can help determine how much "Trinkets" might be worth to a new platform. By comparing the show's audience demand with existing shows on the platform, executives can determine its worth to the platform, establish how much to spend on acquiring or licensing the show, and identify other content that might help grow the platform's audience.
Mapping the local whitespace: With demand data, executives can determine the popularity of genres and audience preferences in local markets, creating more targeted marketing and content strategy, making informed content decisions when it comes to titles like "Trinkets".
In conclusion, demand data is an essential tool that can help executives in the entertainment industry make better-informed decisions around content valuation, acquisition, and programming strategy. As we've seen in this example, the data from Parrot Analytics' demand measurement system can be used in a variety of ways, from content valuation to developing content and making smarter investments. Accessing this data can help you predict audience preferences, making decisions based on evidence rather than personal biases, and provide a better and more popular offering that meets the consumers' wants and needs.
This is Trinkets'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 Trinkets travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s Trinkets 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 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 Netflix 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 Trinkets, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Teen Drama), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2:01 p.m. PST using global tv demand analytics from Parrot Analytics for Trinkets in the United States. We provide our partners with valuable content insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.