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, demand data can be a valuable tool in making more informed content decisions, acquisition, distribution, and programming decisions. Let's look at the example of "Willow" in Germany during February 2024, and how demand data can be used to gain insights and strategic advantages.
One of the key uses of demand data is in content valuation. Parrot Analytics' content valuation system is based on demand data and reveals the dollar value contribution of any title, to any platform, in any region. Using such a system, executives can quantify how much a show is worth and how much it can contribute to a platform, helping to inform budget and content decisions.
When looking at the demand data for "Willow" in Germany, we can see that demand has been good overall. This show has 2.1 times the audience demand of the average show in Germany over the last 30 days, meaning only 8.6% of all TV shows have this level of demand. It is also interesting to note that, compared to its demand of 2.9 times the average over the last 90 days, demand for this show has been decreasing recently.
Another way demand data can be useful is for competitive benchmarking. Executives can compare their content against other titles available on the market, gaining insights on where they stand and how they can improve. For example, when compared to other drama titles in Germany, "Willow" ranks at the 93.9th percentile, meaning it has higher demand than 93.9% of all drama titles in Germany. Additionally, we can see that other shows that fans of "Willow" also like are "Star Trek: Picard", "His Dark Materials", "Westworld", and more, giving executives valuable information about what other content is competing for audience attention.
Demand data can also help with subscriber acquisition and retention. Executives can use demand data to determine which titles they should buy to keep their current audience happy or to attract new subscribers to their platform. For example, in looking at the top 10 global markets where "Willow" is most in-demand over the last 30 days, we can see that this show outperforms the demand of the average TV show (1x) in each of these markets, indicating its potential to attract audiences.
Another way executives can use demand data is in optimal release strategy and pricing. Demand data can help identify the best release strategy for a show, such as which markets it might resonate with more or what time of year would be optimal for the show's release. Additionally, executives can use demand data to determine pricing for their content based on how much value it brings to their platform.
Finally, demand data can help inform decisions around supply and demand, such as what type(s) of content exhibit opportunity to acquire or produce and what content is in underserved markets.
In conclusion, as entertainment executives, demand data can provide valuable insights to inform strategic decisions and gain a competitive advantage. Whether it is for content valuation, competitive benchmarking, subscriber acquisition and retention, optimal release strategy and pricing, or supply and demand decisions, demand data can help executives make more informed and successful content decisions in an increasingly crowded and competitive media landscape.
Willow's travelability to Germany in the last 30 days is 24%, which means that the audience demand for Willow is 24% of the demand in its country of origin, United States. Click through to another market to discover how well Willow travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Disney+‘s Willow 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 Germany, 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 Disney+ 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 Willow, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Action Fantasy), using our globally standardized Demand Expressions® metric.
This page has been renewed on March 29, 2024, 7:25 a.m. PST using global tv demand analytics from Parrot Analytics for Willow in Germany. We provide our partners with far-reaching OTT analyses to help them drive better and more informed content partnership strategies. Contact us today to find out more.