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.
The analysis of Full House in France for February 2024 provides insights into how to use demand data to make informed decisions about content acquisition, distribution, and programming.
Firstly, by using demand data, you can quantify the value contribution of any title to any platform in any region, including Full House in France. This way, you can assess the baseline value of the show and how it’s performing as an acquisition-driving or churn-reducing title, and estimate the cannibalization of audiences if a title is available on multiple services. You can also assess the show's ability to drive subscriptions and mitigate churn, which is critical for retaining and acquiring new subscribers.
By using demand data, you can uncover opportunities in markets like France to acquire or produce content like Full House. This is critical in mapping local whitespace and identifying the most popular genres in the local market, which are key factors that affect the show's reach.
Demand data can also help with decisions concerning supply and demand. You can assess the value of exclusivity and determine what type(s) of content exhibit opportunities to acquire or produce, which can influence content financing and partnerships with other production companies. Having insights into audience demand and taste clusters can guide content localization, scheduling, and even the selection of on-screen talent and creative teams.
Using demand data, you can also optimize your release and pricing strategies, pre-release marketing, and recommendations for viewers. These insights are critical for optimizing the marketing campaign ahead of the premiere, retaining customers, and growing your audience.
Furthermore, you can use demand data to evaluate Full House's performance globally beyond France. In this case, Full House ranks outstanding in its worldwide audience demand across all platforms and good in terms of its travelability and franchisability. You can also analyze the top ten global markets where Full House is most in-demand over the last 30 days, that the show outperforms the demand of the average TV series in each of these markets, with the US being its primary market. When Full House peaked to be 5.7 times the average over the course of a year, its peak during the last 30 days was 5.5 times the average, showing a 3.8% increase. By analyzing trends like this, you can predict demand and adjust acquisition strategies accordingly.
In conclusion, using demand data to make informed content, acquisition, distribution, and programming decisions is fundamental to success in the entertainment industry. You can use it to quantify the value contribution of any title to any platform in any region, make key decisions on content financing, localization, and partnerships, evaluate global performance, optimize strategies, and predict demand trends, all of which have a significant impact on the success of your content portfolio.
Full House's travelability to France in the last 30 days is 18%, which means that the audience demand for Full House is 18% of the demand in its country of origin, United States. Click through to another market to discover how well Full House travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Full House 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 France, 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 Full House, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been regenerated on March 29, 2024, 4:35 a.m. PST using demand content analytics from Parrot Analytics for Full House in France. We provide our partners with meaningful OTT competencies to help them drive better and more informed content investment strategies. Contact us today to find out more.