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.
Welcome to the world of demand data and how it can inform entertainment executives' strategies and decisions. In this example, we will explore how demand data analysis of the children's animated TV series "Vampirina" airing on a fictional OTT platform can help its TV executives make informed decisions.
The first question that can be answered using demand data is content valuation. By leveraging Parrot Analytics' demand data, "Vampirina's" value can be quantified based on the contribution it makes to any platform in any particular region. The Parrot Pulse for "Vampirina" has indicated that the show has good demand across the globe, with great momentum and, compared to other shows in the same genre, high demand in Mexico. Therefore, an OTT platform looking to acquire "Vampirina" in the Latin America region could consider paying a premium for its distribution rights due to the series' above-average performance.
Secondly, demand data can inform acquisition decisions. In this example, demand data reveals that "Vampirina" has been consistently popular globally, especially in the United States and the UK, indicating that its content can travel well across different cultures. Content distributors, TV financing companies, and talent agencies interested in investing in a children's animated TV series could use this knowledge to consider acquiring titles with similar attributes.
Thirdly, programming decisions based on demand data can help linear networks or pay TV networks make slotting decisions to cater to their viewers. In this case, the demand for "Vampirina" found to be good in Mexico, indicating that its viewers in Mexico want to watch this content. Linear networks, therefore, can use this information to program their schedules or curate more of their lineup in this type of programming.
Fourthly, distribution decisions can also rely on demand data. As demand for "Vampirina" continues to grow in 2024, Parrot Analytics data indicates that it's a valuable asset across all markets globally. If a pay TV network is considering distributing "Vampirina" in Mexico, executives can leverage the demand data to make data-supported decisions, such as targeted marketing campaigns emphasizing the show's popularity in Mexico.
Finally, demand data can help OTT platforms attract and retain subscribers by offering them popular content. In this case, executives of an OTT platform wanting to expand their user base can use Parrot Analytics' demand data to acquire "Vampirina" based on the popular genres in Mexico and the rest of the world. This data helps the platform draw new users while reducing churn and retaining existing subscribers through a diverse content supply.
In conclusion, Parrot Analytics' demand data for "Vampirina" provides essential insights into how children's animated TV series perform across different genres, regions, and platforms. By analyzing demand data, entertainment executives can make more informed content, acquisition, distribution, and programming decisions and optimize their strategy based on data-informed insights.
Vampirina's travelability to Mexico in the last 30 days is 18%, which means that the audience demand for Vampirina is 18% of the demand in its country of origin, United States. Click through to another market to discover how well Vampirina travels internationally.
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Acquire the best shows from partners such as Disney Junior to fortify your competitive position in Mexico. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Vampirina), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular Disney Junior‘s Vampirina 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 Disney Junior 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 Vampirina, for example, can be assessed for a market e.g. Mexico, which can then be benchmarked against genre averages (e.g. Cartoon), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2 p.m. PST using television demand metrics from Parrot Analytics for Vampirina in Mexico. We provide our partners with comprehensive TV capabilities to help them drive better and more informed content advertising strategies. Contact us today to find out more.