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.
Entertainment executives are always striving to make more informed decisions about their investments, acquisitions, distribution, and programming of content to keep up with the ever-changing market demands. This is where demand data comes in handy. Let's take the example of "Lessons In Chemistry" in Turkey, analyzed by Parrot Analytics for the month of February 2024, to illustrate how demand data can relate to content valuation and be used to make informed decisions.
Content Valuation:
Content valuation helps executives make the right decisions regarding the worth of content. It involves the use of demand data to measure the dollar value contribution of a title to any platform in any region. The dollar value contribution can answer questions like: How much should a platform spend on content? "Lessons In Chemistry" is an example of a show that reflects good demand in Turkey. With 3.1 times the audience demand of the average show in Turkey over the last 30 days, it is one of only 8.6% of shows that have such high demand. Though its demand has been decreasing lately when compared to 4.0 times the average over the last 90 days.
Programming Decisions:
Demand data helps executives make informed programming decisions by highlighting a show's popularity over specific periods. Using "Lessons In Chemistry" in February 2024 in Turkey as an example, the show's demand spiked in late February, indicating its growing audience. Executives can also utilize demand data to know what shows people are streaming the most to ensure availability. For example, "Lessons In Chemistry" had a peak rank of #340 in Turkey during February. The show dropped by 162 spots during February, perhaps signaling a need to be more prominent or marketing the show to boost its popularity.
Distribution Decisions:
Distribution is a significant part of the content-industry value chain, and demand data informs the best distribution decisions. For instance, Parrot Analytics tracked "Lessons In Chemistry" in the top ten global markets it was most in-demand over the last 30 days. The show outperformed the demand of the average TV show in all these markets. The United States, the show's number one market globally, had outstanding audience demand of 14.3x. This indicates that the show has a larger US audience and should be distributed accordingly.
Acquisition Decisions:
Demand data informs executives on acquisition decisions, giving them insight into what shows their audience wants and how much they are willing to pay. Executives can determine how much a title is worth or how it drives audience retention or subscription by analyzing demand data. For instance, executives can determine which titles should be purchased to attract new subscribers to their platform or to retain existing ones. Interestingly, fans of "Lessons In Chemistry" tend to also like shows like "Fargo", "True Detective", and "Only Murders In The Building." Executives can use this information to determine the type of content to acquire, produce, or finance.
Content creators and executives can use demand data to:
- Value how much a show is worth
- Determine how much to spend on a show
- Decide which content is worth acquiring
- Determine how shows perform in specific regions
- Decide the optimal release strategy
- Understand which shows will retain and acquire subscribers, among other insights.
In conclusion, demand data plays a vital role in helping entertainment executives make informed decisions about content, acquisitions, distribution, and programming. By analyzing "Lessons In Chemistry" in Turkey during February 2024, we can see how demand data can provide key insights for audience demand, travelability, momentum, and more. By leveraging demand data, executives can make strategic decisions that optimize the value of their investments, acquisitions, and content.
Lessons In Chemistry's travelability to Turkey in the last 30 days is 16%, which means that the audience demand for Lessons In Chemistry is 16% 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 Turkey, 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. Turkey, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:01 p.m. PST using tv demand metrics from Parrot Analytics for Lessons In Chemistry in Turkey. We provide our partners with essential television series insight to help them drive better and more informed content marketing strategies. Contact us today to find out more.