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, you are consistently faced with making decisions surrounding content valuation, acquisition, distribution, and programming. When it comes to these decisions, having access to data that quantifies how an audience engages with content is critical. This is where demand data comes in; it gives you valuable insights into how popular a particular title is among your audience and helps you make more informed decisions. Let’s take "DC's Stargirl" as an example.
Firstly, using demand data, you can assess the value of "DC's Stargirl" to your platform. Parrot Analytics’ content valuation system based on demand data helps you determine how much a title is worth in terms of its dollar value contribution. In this case, "DC's Stargirl" has 5.2 times the audience demand of the average show in Australia over the last 30 days and is in the 97.4th percentile of the drama genre. Such high demand for this show indicates its value to your platform and its potential to increase subscribers and reduce churn.
Another critical decision entertainment executives typically make is around content acquisitions. Using demand data, you can quantify the global popularity of a title and make informed acquisition decisions. For instance, "DC's Stargirl" is performing well globally, with outstanding demand in Germany and the United States. In this context, German fans have 8.2 times the demand for "DC's Stargirl" compared to the average TV show, while in the United States, demand is also excellent.
Similarly, as an executive of an OTT or SVOD platform, subscriber retention and subscriber acquisition are key challenges. Demand data can help with both. If you want to retain your current subscribers, you can offer them what they want to see. If their demand overlaps with that of "DC's Stargirl," then acquiring it and keeping it available on your platform is essential. Similarly, if you're looking to grow your audience, considering popular shows like "DC's Stargirl" will significantly help.
Programming decisions are also critical. Using demand data, you can identify the most popular entertainment genres in a particular market, further enabling regional-specific programming choices that resonate with your audience. Additionally, demand data can further inform your release strategies and pricing strategies for your titles.
Lastly, demand data can support strategic decisions around a show's spin-offs, marketing, and franchise development, justifying which shows to develop into a franchise or creating spin-offs. For instance, while "DC's Stargirl" has good sequels and franchisability potential, your platform may benefit from developing spinoffs around the franchise.
In summary, using demand data, you can make informed decisions around content valuation, acquisitions, distribution, and programming. "DC's Stargirl" showcases how demand data can help you make more informed decisions, making it a valuable tool for entertainment executives.
DC's Stargirl's travelability to Australia in the last 30 days is 53%, which means that the audience demand for DC's Stargirl is 53% of the demand in its country of origin, United States. Click through to another market to discover how well DC's Stargirl travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular the cw‘s DC's Stargirl 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 Australia, 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 DC's Stargirl, for example, can be assessed for a market e.g. Australia, which can then be benchmarked against genre averages (e.g. Superhero Series), using our globally standardized Demand Expressions® metric.
This page has been revised on April 18, 2024, 2:02 p.m. PST using demand metrics from Parrot Analytics for DC's Stargirl in Australia. We provide our partners with far-reaching television series expertise to help them drive better and more informed content sales strategies. Contact us today to find out more.