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, the Nancy Drew (2019) example demonstrates how demand data can help inform content decisions, acquisition decisions, or distribution decisions. For instance, content valuation can help determine how much the show is worth to another streaming platform, or to assess its ability to drive subscriptions and mitigate churn. Parrot Analytics' content valuation system uses demand data to reveal the dollar value contribution of any show to any platform in any region. With 6.0 times more audience demand than the average show in Germany and a peak audience demand of 13.2 times the average demand over a year, Nancy Drew is a series that has held up well with outstanding demand in different markets. By analyzing data from the top 10 markets where Nancy Drew is currently most in demand, executives can gain insight into what makes the show popular and how it could potentially resonate with viewers in other countries. For instance, in the United States, the show had outstanding audience demand of 9.6x, making it the top market for the show. Additionally, executives can determine other popular shows that draw a comparable audience. In Nancy Drew’s case, shows such as "ForAll Mankind," "Law & Order: Special Victims Unit," and "Chicago Fire" are some of the other popular shows that fans of the series enjoy.
Demand data also helps with subscriber retention and acquisition. By understanding which titles are successfully retaining the current audience, executives can determine what other titles may be worth investing in that might retain and attract future audiences. Demand data can also help inform programming decisions. By understanding how effective marketing campaigns around a show are and how the pre or post-premiere compared against other shows, executives can make more informed decisions on how best to promote and position the program.
Furthermore, by using data to inform optimal release strategy and pricing, executives can achieve better results in their content strategy. Through travelability data, executives can see how global audiences are responding to their content offerings and how to invest in future content. Demand data transparency helps with supply and demand decisions, such as what types of content exhibit opportunities for acquisition or production. Finally, demand data informs the platform and network fit as it establishes which platforms fit best with the audience who enjoy such types of shows. As seen in the Nancy Drew example, the audience demand in the United Kingdom and Netherlands is also outstanding, which may indicate more investment can be directed into such markets.
Nancy Drew (2019)'s travelability to Germany in the last 30 days is 51%, which means that the audience demand for Nancy Drew (2019) is 51% of the demand in its country of origin, United States. Click through to another market to discover how well Nancy Drew (2019) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular the cw‘s Nancy Drew (2019) 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 the cw 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 Nancy Drew (2019), for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Mystery Drama), using our globally standardized Demand Expressions® metric.
This page has been renewed on April 19, 2024, 2:04 p.m. PST using demand datasets from Parrot Analytics for Nancy Drew (2019) in Germany. We provide our partners with far-reaching TV insight to help them drive better and more informed content sales strategies. Contact us today to find out more.