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 need to make informed decisions about content acquisition and programming that will resonate with your audience and drive engagement. This is where demand data becomes crucial. Looking at the example of "Nightmare Tenants, Slum Landlords" in January 2024 in the United Kingdom, we can examine how demand data can help inform content decisions.
Firstly, demand data can help with content valuation. By analyzing demand trends for a show, you can determine the dollar value contribution of any title to any platform in any region. You can answer questions such as how much a series is worth, how much of its value is being driven by demand for one of its stars, and what is the baseline value of a title. For instance, "Nightmare Tenants, Slum Landlords" has a higher demand than 95.2% of all documentary titles in the United Kingdom, indicating it has a high value in that genre.
Demand data can also help with decisions concerning supply and demand. For example, if you are a content distributor or a TV production company, you can use demand data to identify which types of content have the opportunity to acquire or produce. Additionally, as an entertainment executive at an OTT platform or SVOD platform, you can use demand data to identify what content will help with subscriber acquisition and retention.
Furthermore, demand data aids in regional strategy decisions. By analyzing audience demand data, you can map local whitespace and determine the most popular genres or topics in a particular region. You can then tailor your content acquisition and programming decisions based on this data.
Demand data can also help inform pre-release marketing strategies. By analyzing demand data, you can optimize your marketing campaign ahead of a premiere and make sure your content is being seen by the right audience on your platform.
Finally, demand data enables competitive benchmarking. By comparing your content against other titles available on the market, you can gain valuable insights into how well your content is performing and how to improve it. In the case of "Nightmare Tenants, Slum Landlords," demand data shows that it outperforms the average TV show in the top 10 global markets where the show is most in-demand.
Overall, demand data is a powerful tool for entertainment executives working across various sectors of the industry. It can help inform content valuation, supply and demand decisions, regional strategy decisions, pre-release marketing strategies, and competitive benchmarking. By leveraging demand data, you can make more informed, data-driven content decisions that will ultimately drive engagement and success.
This is Nightmare Tenants, Slum Landlords's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Nightmare Tenants, Slum Landlords travels internationally.
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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 Kingdom, 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 Channel 5 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 Nightmare Tenants, Slum Landlords, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Social Documentary), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:03 p.m. PST using demand content analytics from Parrot Analytics for Nightmare Tenants, Slum Landlords in the United Kingdom. We provide our partners with comprehensive television workflows to help them drive better and more informed content partnership strategies. Contact us today to find out more.