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.
If you're an executive working in content acquisition, distribution, or programming, understanding audience demand is crucial to making more informed content decisions. The example of "Teen Mom: Young And Pregnant" demonstrates the importance of demand data in evaluating a TV series' performance and assessing its value.
One way in which demand can relate to content valuation is through quantifying a show's marginal revenue contribution to any platform, which can be estimated using demand data. Additionally, understanding audience demand is vital in calculating the return on investment a specific title will bring for a given platform.
Using demand data, executives can answer a range of questions such as, "how much is the show worth?", "how popular is the show always compared to others?", and "how can we assess the show's ability to drive subscriptions and mitigate churn?". These insights provide understanding on the monetary value of a title, how it compares to others on the market, and whether it can drive subscriptions and retain viewers.
Another critical way in which demand data can be used is for supply and demand decisions. Executives can explore which types of content show potential to be acquired or produced through examining audience demand. This step provides direction towards what genres or elements of existing content viewers are most attracted to.
Audience demand data powers competitive benchmarking, identifying opportunities for monetization and distribution, and uncovering under-monetized titles. By comparing the performance of a TV series against its competitors, executives can gain an advantage in programming decisions. For example, by studying shows loved by audiences that enjoy "Teen Mom: Young And Pregnant," executives can identify shows that align with a similar audience and, in turn, offer the same potential returns.
Demand data can also be used to assess the franchise and spin-off potential of a show. "Teen Mom: Young And Pregnant" has poor franchisability, indicating that there's no spin-off potential or IP to develop further. Executives can determine the spin-off or franchise potential of a show through evaluating audience demand data.
Finally, executives can use demand data to examine performance across a range of dimensions including the momentum, longevity, travelability, and reach of a TV series. For example, momentum measures a show's growth potential over time, while reach measures the number of people expressing demand for a show. By understanding dimensions that contribute to a show's performance, executives can make informed content and marketing-related decisions.
In conclusion, demand data provides content executives with insight into audience preferences, content preferences, performance comparisons, and franchise and spin-off opportunities. When used to make informed decisions, demand data can help executives create successful content strategies and capitalize on opportunities they would otherwise miss.
This is Teen Mom: Young And Pregnant'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 Mom: Young And Pregnant travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular MTV‘s Teen Mom: Young And Pregnant 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 Mom: Young And Pregnant, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Family Reality), using our globally standardized Demand Expressions® metric.
This page has been renewed on March 29, 2024, 2:50 a.m. PST using global tv demand analytics from Parrot Analytics for Teen Mom: Young And Pregnant in the United States. We provide our partners with smart OTT insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.