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 a TV executive, you are responsible for making informed content decisions, which requires understanding audience demand and how it relates to content valuation. By looking at the example of "Not Going Out", we can see how demand data can help make more informed decisions.
One way to use demand data is for content valuation. By leveraging Parrot Analytics' content valuation system, you can estimate the value of a single show or a library of content. For instance, you can determine the value of your content to other platforms or assess your show's ability to drive subscriptions and reduce churn.
Another way to use demand data is for competitive benchmarking. You can compare the performance of your show against other titles available on the market. For example, "Not Going Out" is doing well compared to other shows in the drama genre in the United States, with a higher demand than 91.3% of all drama titles.
Demand data can also help you identify how much to spend on content or which titles to acquire. By using Parrot Analytics' content valuation system, you can estimate how much to spend on a particular title or calculate the ROI that a show would bring to your platform.
Additionally, demand data can inform programming decisions. You can use it to discover which types of content have the most opportunity to acquire or produce. You can also learn which titles appeal most to your current audience and which ones have the potential to attract new subscribers or retain the ones you already have.
In the case of "Not Going Out", you can see how its demand data showcases a spike in its demand in late January 2024 in the United States. You can leverage this information for programming decisions, such as whether to promote or advertise the show during that period or how to optimize future release strategy and pricing to capitalize on its growing popularity.
Moreover, you can use demand data to inform distribution decisions. By identifying which platforms to target for the distribution, you can increase the show's exposure and also find new opportunity markets for content distribution, as well as uncovering under-monetized titles.
Lastly, Parrot Analytics' content demand data can be used to inform acquisition decisions. By examining the top 10 global markets where "Not Going Out" is most in-demand, you can identify which regions have the highest demand for the show. This information clarifies where to focus your acquisition efforts, determining the most under-utilized territories.
In summary, demand data provides a wealth of valuable insight into content performance and helps you make more informed content decisions. By utilizing the Parrot Analytics demand measurement system, you can develop a more nuanced understanding of how your content performs in different markets and make data-driven decisions accordingly.
Not Going Out's travelability to the United States in the last 30 days is 29%, which means that the audience demand for Not Going Out is 29% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Not Going Out travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC One‘s Not Going Out 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 the United States, 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 BBC One 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 Not Going Out, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 22, 2024, 2 p.m. PST using television demand metrics from Parrot Analytics for Not Going Out in the United States. We provide our partners with essential TV know-how to help them drive better and more informed content partnership strategies. Contact us today to find out more.