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, it is important to understand how demand data can help inform content, acquisition, distribution, and programming decisions. Let's look at the case of "Lost" and how demand data can be used to make informed decisions.
Firstly, let's look at how demand data can help with content valuation. Parrot Analytics' content valuation system is based on demand data and can reveal the dollar value contribution of any title to any platform in any region. In the case of "Lost," demand data can tell you how much the show is worth in Italy based on its audience demand. With 12.2 times the audience demand of the average show in Italy, "Lost" is highly valuable.
Demand data can also inform programming decisions. Understanding how well a show is performing and what elements of that show are resonating with audiences can help decide how to optimize upcoming productions for success or how to allocate funds to maximize future content investment. In the case of "Lost," demand data reveals that audience demand for the show increased by 17.7% in Italy during February, indicating a positive response from viewers.
Demand data can also be used in acquisition and distribution decisions. Knowing the most popular genres in a given market or which titles are most in-demand can help executives identify which types of content exhibit an opportunity to acquire or produce and which platforms should be targeted for distribution of that content. For "Lost," while the show is not new, it is still in high demand in Italy and globally. This information can help executives decide whether to acquire or distribute "Lost" in that market and potentially earn a higher return on investment. Furthermore, the fact that the audience demand for "Lost" in Italy was 46% of the demand in its country of origin, the United States, suggests that "Lost" may have high travelability potential, making it an attractive acquisition for platforms looking to expand globally.
Finally, demand data can help with subscriber acquisition and retention. Knowing which titles have the ability to drive subscriptions or mitigate churn can inform which titles executives should buy for their streaming service. Additionally, comparing the performance of a show on a rolling year basis versus the last 30 days can reveal whether a title is increasing or decreasing in popularity, which can help executives decide which titles to prioritize for acquisition or retention. In the case of "Lost," the fact that the show's demand peaked at 14.7 times the average in the last 30 days, a 3.1% increase from the previous year, suggests that "Lost" is becoming even more popular with viewers in Italy and should therefore be considered when making acquisition or retention decisions.
In conclusion, demand data can be used to inform a variety of strategic decisions throughout the content lifecycle, including content valuation, programming, acquisition, distribution, and subscriber acquisition and retention. The case of "Lost" in Italy demonstrates the value of leveraging demand data to make more informed decisions and increase the ROI on content investments.
Lost's travelability to Italy in the last 30 days is 58%, which means that the audience demand for Lost is 58% of the demand in its country of origin, United States. Click through to another market to discover how well Lost travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular abc‘s Lost 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 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 Lost, for example, can be assessed for a market e.g. Italy, which can then be benchmarked against genre averages (e.g. Sci-fi Drama), using our globally standardized Demand Expressions® metric.
This page has been regenerated on March 28, 2024, 1:57 p.m. PST using global television demand metrics from Parrot Analytics for Lost in Italy. We provide our partners with far-reaching entertainment industry expertise to help them drive better and more informed content distribution strategies. Contact us today to find out more.