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.
For entertainment executives looking to make more informed content decisions, "Sofia The First" provides valuable insights that demonstrate the importance of demand data. By using demand data, executives can make better-informed programming decisions, content valuation and distribution decisions, and acquisition decisions.
Firstly, executives can use demand data to gain insight into audience preferences, tastes, and trends. In Brazil, the demand for "Sofia The First" is 4.5 times the average TV show, and it has continued to rise in popularity in recent months. This demonstrates the high level of demand for this show in the market and is indicative of its potential as a successful acquisition for a streaming platform. Demand for "Sofia The First" has also increased in Brazil by 105.7% during January, revealing its growing popularity. Executives can use this data to identify which TV shows or genres resonate most with their audience, and to make programming decisions that align with those preferences.
Furthermore, demand data is essential for content valuation. Using demand data analysis, Parrot Analytics has built a content valuation system that enables executives to determine their content's value to any platform, in any region. By using demand data to project how a title drives engagement across the platform, this system reveals the dollar value contribution of any title. Executives can use this information to make strategic content valuation decisions that enhance their platform's ROI.
Demand data also provides valuable insights into areas such as supply and demand. Entertainment executives can utilize this data to identify which types of content exhibit opportunities to acquire or produce, and to determine which titles are most likely to drive subscriptions and mitigate churn.
For distribution decisions, executives can use demand data to identify the most popular genres in their local markets, as well as which shows have a high level of travelability demand. Additionally, executives can leverage demand to make optimal release strategies and pricing decisions that attract new subscribers to their platform.
Finally, demand data can be applied to competitive benchmarking, pre-release marketing campaigns, affinity analysis, long-term audience engagement, and more. By examining audience data, one can estimate the ROI of a specific title to ensure the investment is worthwhile. The data can show how well a marketing campaign around a show has performed, how long a show has been popular and whether it will remain so (show longevity), and how often a show has appeared among the top ten most in-demand shows in the world.
In summary, executives can use demand data to make better-informed content, acquisition, distribution, and programming decisions. Demand data can uncover important trends, inform a content's value, reveal supply and demand scenarios and guide distributors and platforms to select the best strategy for their content. The analysis of "Sofia The First" shows how demand data can be used successfully to understand trends and make informed strategic decisions. The future of TV programming is data-driven, and analyzing demand data through tools such as Parrot Analytics' content valuation system is essential to success in the current global entertainment landscape.
Sofia The First's travelability to Brazil in the last 30 days is 25%, which means that the audience demand for Sofia The First is 25% of the demand in its country of origin, United States. Click through to another market to discover how well Sofia The First travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Disney Junior‘s Sofia The First 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 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 Sofia The First, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Pre-school), using our globally standardized Demand Expressions® metric.
This page has been adjusted on March 28, 2024, 3:06 p.m. PST using global demand datasets from Parrot Analytics for Sofia The First in Brazil. We provide our partners with far-reaching television industry expertise to help them drive better and more informed content marketing strategies. Contact us today to find out more.