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.
Demand data is an extremely useful tool to help entertainment executives make informed decisions about their content, acquisition, distribution, and programming strategies. Using "The Sidemen Show" in India in March 2024 as an example, we can see how demand data can be leveraged to make more effective decisions.
One important way that demand data can be used is to help with content valuation. Entertainment executives can use demand data to determine how much a specific title is worth and how much it is contributing to a platform's value. For example, with "The Sidemen Show," we can see that it has 2.5 times the audience demand of the average show in India, and that only 8.6% of all TV shows have this level of demand. Additionally, we can see that the show's demand has been increasing recently. This information is essential for determining the value of the show to the platform and whether it should continue to air.
Another way that demand data can be useful is in making acquisition decisions. For instance, demand data can help an entertainment executive decide what type of content to produce or acquire, or to assess the value of a content library to a platform over time. For "The Sidemen Show," we can see that it has a 99.1th percentile rank in the reality genre in India, indicating higher demand than 99.1% of all reality shows in India. This data could be used to influence the decision to acquire more reality TV shows or to produce a similar show that appeals to this fanbase.
Demand data can also be used for programming decisions. For example, executives may want to know the most popular genres in their local market, or which titles to buy to keep or grow their audience. In the case of "The Sidemen Show," we can see that it has higher demand in the U.S and India compared to other parts of the world. This information could influence programming decisions, such as looking into expanding the show's reach in other markets, or promoting it to the existing fanbase.
Finally, demand data is useful for distribution decisions. Executives need to know the best platforms to target for content distribution, and the content's reach and attraction among new subscribers. Using demand data, we can see that "The Sidemen Show" had poor travelability, which means that its international demand in other markets besides the UK was low. This data could be used to decide whether to invest in distributing the show globally, and on which platforms to focus the distribution efforts.
In conclusion, demand data is an essential tool for entertainment executives to make informed decisions about their content, acquisition, distribution, and programming strategies. The example of "The Sidemen Show" in India in March 2024 shows how demand data can be used to make effective strategic decisions, and how demand data can be leveraged to inform content valuation, acquisition, distribution, and programming strategies.
The Sidemen Show's travelability to India in the last 30 days is 112%, which means that the audience demand for The Sidemen Show is 112% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well The Sidemen Show travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular YouTube Premium‘s The Sidemen Show 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 India, 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 YouTube Premium 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 The Sidemen Show, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Talk Show), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2:04 p.m. PST using global tv demand metrics from Parrot Analytics for The Sidemen Show in India. We provide our partners with valuable TV industry know-how to help them drive better and more informed content sales strategies. Contact us today to find out more.