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 at an OTT platform, you're always looking for ways to improve your platform's performance. One of the best ways to do that is by using demand data to inform your content, acquisition, distribution, and programming decisions. In this article, we'll use the example of "Amas De Casa Deseperadas" to illustrate how Parrot Analytics' demand data can help you make more informed decisions.
Firstly, demand data can help you with content valuation. You can use demand data to determine how much a particular title is worth and how much of its value is being driven by the demand for one of its stars. You can also estimate the baseline value of a title and assess its ability to drive subscriptions or reduce churn. By using demand data, you can even calculate the return on investment (ROI) of a specific title for your platform.
Secondly, demand data enables global IP valuation. For example, you can determine the most popular content in your market or on a global scale. This information can help you make more informed acquisition and distribution decisions.
Thirdly, demand data can help you optimize your release strategy and pricing. For instance, you can use demand data to assess the best release strategy for your content and to identify the pricing model that will maximize engagement.
Fourthly, demand data can help you retain subscribers by buying titles that will keep your audience happy. Likewise, you can use demand data to acquire titles that will grow your audience.
From the example of "Amas De Casa Deseperadas", we can draw some insights into the type of decisions demand data can help you make. Firstly, we see that "Amas De Casa Deseperadas" has good demand in Mexico, with demand 6.1 times higher than the average show. However, it's also important to note that demand for the show has been decreasing recently. It's valuable to assess the reasons for this trend and take appropriate content decisions.
Secondly, we can see that "Amas De Casa Deseperadas" peaks at #225 rank in Mexico. The show's demand data suggests that the show is popular in the romance genre, with the 99.3rd percentile of all romance titles in Mexico. By analyzing the top 10 global markets, we discover that "Amas De Casa Deseperadas" outperforms the average TV show in each of these markets. Mexico is the show's top market globally, with demand 4.8x higher than the average show.
Finally, we can see that "Amas De Casa Deseperadas" has good longevity over time. The demand data reveals that the show has an increased popularity on a rolling year basis and has seen a 29.0% increase in the last 30 days.
In conclusion, demand data is valuable for television executives in making informed decisions about content, acquisition, distribution, and programming. Using demand data to assess the value of a title, track genre popularity, or determine the best release strategy for content will allow executives to improve their platform's performance and increase engagement. Using the example of "Amas De Casa Deseperadas", we can see how demand data can be used to make more informed content decisions, and we encourage all entertainment executives to consider its benefits.
Amas De Casa Deseperadas's travelability to Mexico in the last 30 days is 129%, which means that the audience demand for Amas De Casa Deseperadas is 129% of the demand in its country of origin, Colombia. Click through to another market to discover how well Amas De Casa Deseperadas travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular RCN Televisión‘s Amas De Casa Deseperadas 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 Mexico, 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 RCN Televisión 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 Amas De Casa Deseperadas, for example, can be assessed for a market e.g. Mexico, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been updated on April 19, 2024, 2 p.m. PST using demand data from Parrot Analytics for Amas De Casa Deseperadas in Mexico. We provide our partners with extensive television insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.