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 an entertainment executive working at an OTT platform or SVOD platform, you can utilize demand data to make informed acquisition decisions. In the case of "Skam Italia," the show has good audience demand in its home market with 2.5 times the audience demand of the average show in Italy over the last 30 days. Additionally, the show has higher demand than 98.6% of all romance titles in Italy. This indicates the show is significant for viewers in Italy's romance genre. Though, it is essential to acknowledge that the demand for the show has been decreasing recently, indicating a lower popularity than it was a few months ago.
You can also acquire new content based on how the audience is interacting with it. For instance, analyzing the top 10 global markets where "Skam Italia" has the most demand over the last 30 days indicates that it outperforms the demand of the average TV show (1x) in all the markets. This information can assist in determining what content to acquire that would replicate the success "Skam Italia" is enjoying in Italy.
As a TV production company, you can leverage demand data to determine how content performs over time, alleviating the risk of making decisions based on fleeting trends. For example, "Skam Italia" has performed well over the years, with a peak demand of 16.4 times the average over the course of the entire year. However, from the last 30 days, this demand has reduced to only 3 times the average. Using demand data to observe the show's demand trends over time and analyzing the show’s strengths and weaknesses can help you in making production decisions and strategic planning for future productions.
As a content distributor, demand data can help you identify under-monetized titles, which can subsequently provide greater opportunities for content distribution. This data will help you find new opportunity markets for content distribution and identify new regions of increasing demand for the show. For example, though the travelability of "Skam Italia" is poor, the show has okay demand in other countries like the Netherlands, Croatia, the United Kingdom, Sri Lanka, France, Canada, and Brazil. As such, the show might be suitable for some of the markets where it is currently doing okay, and that could become successful for you as a distributor.
Finally, linear network and pay-TV network executives can tailor programming based on audience demand to appeal to broader audiences. Demands can inform on what content to acquire, how to launch a series successfully, and the best release strategy for any given content. For example, on-demand content will differ significantly from linear content, and understanding what will suit each audience is vital. You can also utilize audience demands to uncover under-monetized titles that you can distribute over your platform to increase user engagement.
In summary, demand data can provide valuable insights for entertainment executives. Through demand data surrounding "Skam Italia," we can see that it has good demand in Italy and is significant for viewers in Italy’s romance genre. However, demand for the show had been decreasing in Italy over the past month. As such, executives can use this information to determine places where they can market or distribute the show more effectively. They can also use the data to make more informed decisions about content investment, selection, programming, and distribution that can ultimately lead to higher viewer engagement and revenue.
This is Skam Italia'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 Skam Italia travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Timvision‘s Skam Italia is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Over the last 7 days, people who watch Skam Italia also watch:
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 Timvision 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 Skam Italia, for example, can be assessed for a market e.g. Italy, which can then be benchmarked against genre averages (e.g. Teen Drama), using our globally standardized Demand Expressions® metric.
This page has been amended on April 18, 2024, 2 p.m. PST using global television demand datasets from Parrot Analytics for Skam Italia in Italy. We provide our partners with meaningful TV expertise to help them drive better and more informed content marketing strategies. Contact us today to find out more.
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