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 becoming a vital aspect of strategic decision-making for entertainment executives who want to make informed content, acquisition, distribution, and programming decisions. One way to leverage this data is through content valuation. For instance, executives can use this data to answer questions like how much a specific title is worth, how much of its value comes from the demand for one of its stars, and what is its value as a strategic asset for a streaming platform. An example is the analysis of "Teen Wolf" for the month of March 2024 in the United States, which had a substantial audience demand of 17.2 times the average show. This type of data analysis can provide insight into the quality, popularity, audience retention and acquisition, and longevity of the show to inform its creative direction, acquisition, distribution, and promotional strategy.
Another example of how executives can use demand data is to map white spaces and optimal release strategies. For instance, executives can ascertain the most popular genres within a specific market or globally to help decide the type of content to produce or acquire. Additionally, they can use demand data to design an optimal release strategy that takes advantage of the show's momentum and maximizes its global reach. For instance, "Teen Wolf" had an exceptional performance in the United States, with outstanding demand of 11.0 times the average TV show.
Executives can also use demand data to assess content performance, subscriber acquisition, and retention. Demand data is used to determine the most popular genres and shows and their potential to attract new subscribers to a platform. Moreover, by finding new opportunity markets for content distribution, executives can increase audience reach and retention. An example is measuring the performance of "Teen Wolf" on a 1-year rolling basis, which indicates that the show has increased in popularity relative to the average title by 9.0% in the last 30 days compared to the previous year.
Another way to use demand data is through affinity analysis. Here, executives can use demand data to determine the best talent, brands, or TV shows to partner with to attract or expand the show's audience. Additionally, demand data helps executives to map global travelability and measure content franchisability potential. Taking "Teen Wolf" as an example, the show's global performance across six dimensions was exceptional and outstanding.
In conclusion, demand data can help entertainment executives in many ways, including creating informed content decisions, acquisition, distribution, and programming strategies. With the help of demand data, executives can optimize their campaign marketing ahead of premiere, benchmark their content against other titles available on the market, and even compare their performance over the last 30 days against that of the previous year. Ultimately, using demand data can inform creative direction, improve operational efficiency, maximize revenues, and enhance customer satisfaction.
This is Teen Wolf'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 Teen Wolf travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular MTV‘s Teen Wolf 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 MTV 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 Teen Wolf, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Supernatural Drama), using our globally standardized Demand Expressions® metric.
This page has been revised on April 22, 2024, 2 p.m. PST using television demand datasets from Parrot Analytics for Teen Wolf in the United States. We provide our partners with valuable television series capabilities to help them drive better and more informed content sales strategies. Contact us today to find out more.