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 entertainment executives, you need the proper tools and insights to make better decisions in developing, distributing, programming and financing TV shows, and it is essential to understand how audience demand data can facilitate making these decisions. One way to leverage demand data is to use it in content valuation, which enables you to determine how much a specific show is worth and estimate its potential ROI. Parrot Analytics' content valuation system is an economic valuation system that evaluates content based on global audience demand and supply.
Let's look at the case of the Danish TV series, "Badhotellet," and see how Parrot Analytics' demand data can help better inform strategic content decisions. According to the data, the show has a demand 2.9 times the average show in Canada over the last 30 days, and it ranks at the 94.9th percentile in the drama genre in Canada. It moved up in rank by 1422 spots during February in Canada, indicating increased popularity. The show's popularity is also growing in other global markets, such as France and Italy.
Understanding a TV show's international demand is particularly relevant to make informed distribution decisions. In "Badhotellet" case, the show's travelability score is poor, which means there is less global demand for the show compared to demand in its home market. In contrast, it has good traveling demand in Denmark, which is its top market. This insight could be valuable in deciding which regions to focus on distribution efforts.
Another area where demand data can be useful is in programming decisions. Parrot Analytics' demand data can help executives evaluate the popularity of different genres and shows within specific countries and regions. For instance, "Badhotellet" is among the top ten shows in Canada and the most popular drama, indicating that it could be a vital acquisition to the platform's drama offering. Additionally, examining "Badhotellet's" viewers' favorite shows such as "The Old Grey Whistle Test," "Wisting," and "Heder," can provide insights into what genres and types of shows are most popular and where the audience appetite tends to lie.
Finally, demand data is useful in financing decisions. Executives can evaluate shows' hit potential or avoid risky investments based on insights into a show's demand history. They can also use Parrot Analytics' demand data to identify under-monetized content opportunities and optimize marketing campaigns ahead of a premiere.
In conclusion, Parrot Analytics' demand data provides entertainment executives with data-driven insights into audience preferences at multiple levels. It can help in content valuation, programing, acquisition, distribution, funding, and marketing decisions by providing an understanding of audience demand across geographies, genres, and platforms. By leveraging demand data insights from shows like "Badhotellet," executives can make confident decisions that drive business growth and profit.
Badhotellet's travelability to Canada in the last 30 days is 48%, which means that the audience demand for Badhotellet is 48% of the demand in its country of origin, Denmark. Click through to another market to discover how well Badhotellet travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Danés TV 2‘s Badhotellet 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 Canada, 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 Danés TV 2 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 Badhotellet, for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been revised on March 28, 2024, 3:02 p.m. PST using tv demand content analytics from Parrot Analytics for Badhotellet in Canada. We provide our partners with essential television industry analyses to help them drive better and more informed content distribution strategies. Contact us today to find out more.