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 a TV executive, you want to make informed decisions that will ensure success for your platform or network. It is important to consider audience demand data when making content decisions, and a great example of this is the TV series "Good Eats". Let's explore how demand data can be used to make more informed content and programming decisions using "Good Eats" as an example.
Content Valuation: Content valuation is the process of determining the worth of a TV series or library. Demand data is a powerful tool that can help you determine the value of your content. In the case of "Good Eats", the show has been in demand 12.3 times more than the average show in the United States. This indicates that the show is very valuable and could be used strategically to drive subscriptions or mitigate churn for a streaming platform. Understanding the baseline value of a title is vital in creating a price strategy that maximizes revenue.
Acquisition Decisions: If you're a TV executive at an acquisition-driven OTT platform, you want to ensure you're making strategic acquisition decisions. Using demand data can help you estimate the value of a TV series or library. In this case, "Good Eats" has seen increasing demand over the past 30 days, which indicates that it is a valuable acquisition. Additionally, by examining the top 10 global markets where the show is in-demand, you can pitch the series to local networks or OTT platforms as a valuable content acquisition.
Programming Decisions: As a programming director or head of development, you are responsible for making content decisions that drive engagement across your catalog. By using demand data, you can determine which titles are worth investing in, which genres have strong demand, and which titles are currently trending with your audience. "Good Eats", for instance, has seen a spike in demand during late February in the United States. It can be useful to examine the reasons behind the demand spike and adjust the programming schedule accordingly.
Distribution Decisions: As a content distributor, you want to ensure that your content is being seen by the right audience on your platform. Demand data can inform distribution decisions by telling you which platforms are the best fit for your content. "Good Eats", In this case, has a relatively poor travelability rating, which indicates that it performs better in its home market of the United States. However, the show outperforms the demand of the average TV show in every market it is available in. This information can inform your distribution strategy, for example, when reselling "Good Eats" as a completed series or a format to other OTT platforms, this can help choose the right markets for the title.
In conclusion, demand data enables entertainment professionals to make informed decisions. In the case of "Good Eats", demand data has revealed that the TV series has great value, and that it's an acquisition with increasing popularity, demonstrating longevity, good reach, and a great genre rank. Demand data can inform content valuation, programming, acquisition and distribution decisions, which can maximize a show's potential to grow an audience and provide long-term value for your platform, network, or distribution business.
This is Good Eats'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 Good Eats travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Food Network‘s Good Eats 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 Food Network 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 Good Eats, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Food Documentary), using our globally standardized Demand Expressions® metric.
This page has been refreshed on March 29, 2024, 7:36 a.m. PST using global demand data from Parrot Analytics for Good Eats in the United States. We provide our partners with deep TV series insight to help them drive better and more informed content licensing strategies. Contact us today to find out more.