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 a TV executive, there are many decisions you need to make when it comes to content, acquisition, distribution, and programming. Using demand data, such as the data for "Morde & Assopra" in February 2024 in Brazil, can help you make more informed decisions.
Content Valuation:
By examining the demand data for "Morde & Assopra," you can determine its value. The show has 5.3 times the audience demand of the average show in Brazil over the last 30 days. This is a good indicator of the show's value. However, the show's travelability and franchisability are poor, as per the Parrot Pulse report. These dimensions may result in narrower distribution and fewer monetization opportunities for the IP. Therefore, the demand data can provide you with objective information on how much the show is worth for acquisition or as part of a content library.
Programming Decisions:
The demand data for "Morde & Assopra" can provide you with insights into how well it is performing in its genre. It ranks at the 98.7th percentile in the romance genre in Brazil, which indicates high demand for this genre in the region. This can help inform programming decisions when it comes to choosing the right genres to feature on your platform. You can also use demand data to understand the audience's preferences and optimize the programming lineup based on the demand for specific genres.
Distribution Decisions:
Using demand data, you can make informed decisions about where to distribute the content. "Morde & Assopra" has attained the highest demand in Brazil, followed by Portugal, and Luxembourg. Therefore, the show could perform well in these regions, and you can consider distribution deals in these markets. Additionally, demand data can inform decisions about which platforms to target for distribution of the content.
Acquisition Decisions:
By using demand data, you can determine how much to spend on content like "Morde & Assopra." The demand data indicates that the show's popularity has increased recently, with a 15.5% rise in peak demand in the past 30 days. This is a positive sign, resulting in improved acquisition potential. You can also use demand data to determine how much audience engagement the content can drive across other shows in your catalog and estimate the cannibalization of audiences by comparing demand for other titles within the same genres.
Marketing Strategies:
Demand data can be used to inform the marketing of the content. For instance, you can run pre-release marketing and optimize it by analyzing the demand trends and comparing them to other titles available on the market. The data indicates that demand for "Morde & Assopra" spiked in late February 2024. By studying this spike, you can analyze its causes- occasionally these spikes can happen with special events or national holidays, and adjust any marketing strategies accordingly.
By using demand data, such as "Morde & Assopra" in February 2024 as an example, you can make more informed decisions about content, acquisition, distribution, and programming. Demand data can provide insights into the value and popularity of the content, how well it performs in its respective genre, where the show has the highest demand, how it drives engagement across other titles in your library, and how to optimize the marketing strategy. Ultimately, using demand data can help improve decision-making when it comes to content and platform strategies.
This is Morde & Assopra'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 Morde & Assopra travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Rede Globo‘s Morde & Assopra 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 Brazil, 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 Rede Globo 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 Morde & Assopra, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Romantic Comedy), using our globally standardized Demand Expressions® metric.
This page has been revised on March 28, 2024, 7:10 a.m. PST using television demand metrics from Parrot Analytics for Morde & Assopra in Brazil. We provide our partners with comprehensive media industry insight to help them drive better and more informed content investment strategies. Contact us today to find out more.