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, leveraging data to inform content acquisition, distribution and programming decisions is crucial in today's crowded entertainment market. A case in point is "Desperate Housewives," a TV series that premiered over a decade ago in the US. Following its engaging storylines and captivating characters, the TV series has sustained high audience demand in various markets around the world, including Russia.
One of the ways demand data can be utilized is by content valuation, where entertainment executives are able to determine the value of content for potential acquisition or sale. Parrot Analytics' content valuation system is based on demand data, and it reveals the dollar value contribution of any title to any platform in any region.
For instance, with 15.1 times the audience demand of the average show in Russia over the last 30 days, "Desperate Housewives" has been increasingly in demand. This indicates the program's ability to drive subscriptions and mitigate churn for any given platform.
Entertainment executives can use demand data of TV shows, such as "Desperate Housewives," to discover new and under-monetized opportunities within their content library. For instance, "Desperate Housewives" has been highly in-demand in various markets globally, which makes it appealing to potential distributing entities.
Additionally, using demand data can be helpful in mapping local whitespaces. Executives can discover which genres are popular in a particular local market, such as Russia, for instance. This can help executives to make programming decisions that cater to their audience's preferences and improve their content's overall performance.
Another facet where demand data is helpful is in assessing the performance of TV solutions over time. For "Desperate Housewives," its longevity is exceptional, meaning viewership demand has been consistent over the past years since its premiere. This indicates that it might warrant more investment in its franchise potential, as it provides a steady stream of revenue without the need for significant marketing spend.
Finally, entertainment executives can use demand data of TV shows, such as "Desperate Housewives," to help optimize their marketing campaigns ahead of premieres. For instance, demand data can answer questions like how popular is the show relative to the market average, how popular is the show in this market or any other market in the world, where in the world is the show in-demand, and what genres are resonating most with the current audience.
In summary, with the help of demand data, entertainment executives can make better, more informed decisions that ultimately drive viewer engagement and investment returns. "Desperate Housewives" is an example of a successful franchise that has sustained demand globally, and demand data can help executives make optimized acquisition, distribution, and programming decisions to achieve similar success.
Desperate Housewives's travelability to Russia in the last 30 days is 134%, which means that the audience demand for Desperate Housewives is 134% of the demand in its country of origin, United States. Click through to another market to discover how well Desperate Housewives travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Desperate Housewives 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 Russia, 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 abc 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 Desperate Housewives, for example, can be assessed for a market e.g. Russia, which can then be benchmarked against genre averages (e.g. Soap Opera), using our globally standardized Demand Expressions® metric.
This page has been altered on April 19, 2024, 2:01 p.m. PST using television demand content from Parrot Analytics for Desperate Housewives in Russia. We provide our partners with meaningful SVOD analyses to help them drive better and more informed content sales strategies. Contact us today to find out more.