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 content, acquisition, distribution or programming decisions, demand data can provide important insights. The analysis of "Mr. Bean" in the Italian market during March 2024 provides an excellent example of how demand data can be used to inform these decisions.
One key use of demand data is content valuation. By using demand data to determine the value of a particular title, executives can make more informed decisions about how to allocate resources. In the case of "Mr. Bean", the show has 7.3 times the audience demand of the average show in Italy over the last 30 days, indicating that it has significant value.
Demand data can also provide insights into a show's popularity and potential for growth. In the case of "Mr. Bean", demand for the show is increasing, with a 59.0% increase in audience demand in Italy during March 2024. The show has also experienced a significant increase in popularity over the last 30 days, with demand peaking at 11.4 times the title average, compared to a rolling year average of 4.2 times the title average.
In addition, demand data can be used to inform programming decisions by identifying the types of content that are most popular with audiences. For example, the Parrot Pulse for "Mr. Bean" shows that it is ranked in the 99.3th percentile in the family genre in Italy, indicating that family-friendly content is in high demand among Italian audiences.
Other insights that can be gleaned from demand data include identifying similar shows that audiences are likely to enjoy and tracking trends in audience demand over time. Furthermore, demand data can be used to make informed decisions about everything from pre-release marketing to release strategies, to content acquisition and production decisions.
In the case of "Mr. Bean", demand data also reveals significant international appeal, with the show outperforming the average TV show in all of the top 10 global markets. This indicates that the show has the potential for successful distribution and acquisition in a variety of international markets.
Overall, the analysis of "Mr. Bean" in Italy during March 2024 illustrates the value of demand data in helping entertainment executives make more informed decisions about content, acquisition, distribution and programming. By leveraging insights provided by demand data, executives can better allocate resources, create more popular content and expand their reach in both domestic and international markets.
Mr. Bean's travelability to Italy in the last 30 days is 40%, which means that the audience demand for Mr. Bean is 40% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Mr. Bean travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular ITV‘s Mr. Bean 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 Italy, 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 ITV 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 Mr. Bean, for example, can be assessed for a market e.g. Italy, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 19, 2024, 2:01 p.m. PST using television demand content from Parrot Analytics for Mr. Bean in Italy. We provide our partners with meaningful OTT competencies to help them drive better and more informed content licensing strategies. Contact us today to find out more.