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.
Demand data is an essential tool for making informed decisions by entertainment executives who are looking to improve content and aggregation decisions, navigate distribution patterns, and optimize programming strategies.
On its own, demand data provides valuable insights into a title’s popularity and growth prospects in various markets. For instance, when looking at "The Beatles," a cartoon show that features the iconic rock band's music, data reveals that it has been performing well in the United States, with 7.8 times the audience demand of the average show in the country over the last 30 days. With only 8.6% of all TV shows having this level of demand, it is more popular than most content out there.
When considering factors like geography and genre, demand data can be particularly useful in identifying specific target markets. For example, executives looking to acquire "The Beatles" and other similar music-driven content might find it valuable to know the show ranks at the 95.1 percentile in the music genre in the US. Also, demand data reveals that the show was most in demand in the US and Hong Kong SAR China over the past 30-day period.
Comparing The Beatles’ performance over a rolling year with the last 30 days reveals how the show's popularity has grown in recent times. The show peaked at 13.0 times the average over the course of the entire year, but in the last 30 days, it was 10.2 times the average, indicating increased public attention. Demand for the show's popularity is also growing in other markets like the United Kingdom, Brazil, and Chile.
By using demand data, entertainment executives can make data-driven decisions. For example, content distributors and talent agencies will be better positioned to advise their clients on projects that could attract more subscribers and have more significant growth prospects. SVOD and OTT platforms might prioritize acquiring titles with high demand, optimizing their catalogs, and improving subscriber growth and retention rates. TV production companies can leverage demand data to test concepts and optimize pre-release marketing strategies.
Furthermore, demand data can be used in content valuation, which is an essential factor for any TV executive. Parrot Analytics' content valuation system uses demand data to answer questions such as “How much is my series or library worth?” Executives can use demand data to calculate and maximize the monetary value of specific titles to any platform in any given region. The data can also reveal the ROI a specific title can bring to any platform, how it drives engagement, and how it can contribute to content acquisition and churn reduction.
In summary, demand data is central to the strategic decision-making process of entertainment executives. With it, they can identify target markets, make data-driven content acquisition, valuation, distribution, and programming decisions, test concepts, optimize pre-release marketing, and improve subscriber growth and retention rates. These insights can help executives stay ahead of the curve in a fast-changing media and entertainment landscape.
This is The Beatles'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 The Beatles travels internationally.
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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 the United States, 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 The Beatles, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Animated Comedy), using our globally standardized Demand Expressions® metric.
This page has been amended on March 29, 2024, 12:50 a.m. PST using global demand content analytics from Parrot Analytics for The Beatles in the United States. We provide our partners with meaningful subscription-video-on-demand capabilities to help them drive better and more informed content sales strategies. Contact us today to find out more.