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, the demand data provided for "Lessons In Chemistry" can help inform various content decision making processes. This data can be used to guide content acquisition, programming decisions, distribution, and content valuation, among others.
One of the ways that demand data is useful is in content valuation. The Parrot Analytics content valuation system is based on demand data and helps to reveal the dollar value that a title contributes to a particular platform. This system helps executives to make more informed decisions when deciding how much to spend on a specific title or a content library. For instance, "Lessons In Chemistry" has a demand that is highly rated in the United Kingdom, with 11.4 times the audience demand over the last 30-days compared to the average show. This shows high demand for the show, and its overall value can be quantified using Parrot Analytics content valuation system.
Demand data also relates to TV series financing companies and entertainment talent agencies. They can use the data to help them understand which types of content display opportunities to acquire or produce. For instance, observing which genres are resonating most with the audience can help with the development of new projects or guidance when selecting new talents to work with for any given project. Additionally, demand data assists content creators to optimize their upcoming productions for success by using an existing concept that has displayed popularity with the audience.
Furthermore, the data can be used for programming decisions to sustain a subscriber base or acquire new subscribers for SVOD services. The demand data of "Lessons In Chemistry" clearly indicates that it is popular across many countries, with outstanding demand in the top 10 markets, such as the United States, Brazil, China, and the United Kingdom to mention a few. Understanding that this show resonates with audiences globally, programming decisions can be made with a view of acquiring similar content or even investing in creating origin content for different markets.
Finally, demand data can help with distribution decisions. By understanding a show's demand across a particular region or market, content distributors and linear networks can match their programming with the demand of the region to maximize reach, create scalable testing and trends. For example, an outstanding display of demand like "Lessons In Chemistry" would be ideal for showcasing the new catalog for an SVOD platform.
In short, demand data plays an integral role in various decision making processes for content-driven companies. Understanding the level and magnitude of a title's demand can help determine its overall value, inform the selection of content to produce or acquire, inform programming decisions to acquire or retain subscribers, and push for a better distribution approach. The insights provided by Parrot Analytics around "Lessons In Chemistry" helps in creating strategic decisions for success informed by data.
Lessons In Chemistry's travelability to the United Kingdom in the last 30 days is 74%, which means that the audience demand for Lessons In Chemistry is 74% of the demand in its country of origin, United States. Click through to another market to discover how well Lessons In Chemistry travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Apple TV+‘s Lessons In Chemistry 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 Kingdom, 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 Apple 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 Lessons In Chemistry, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:01 p.m. PST using television demand analytics from Parrot Analytics for Lessons In Chemistry in the United Kingdom. We provide our partners with smart media industry competencies to help them drive better and more informed content advertising strategies. Contact us today to find out more.