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 can leverage Parrot Analytics' demand data system to make informed content decisions. This data system unravels the dollar value a title or a TV series brings to your platform. Also, it helps in understanding how a show impacts engagement as well as estimating the audience, cannibalization of a title amongst other vital decision-making information. Here are different ways Parrot Analytics' demand data system can assist with your content decision-making process using "The New York Times Presents" analysis for February 2024 in Germany:
Content Valuation: Valuing TV series using demand data is fundamental. You can utilize demand data to quantify the value of a TV series or library to a platform over time. With the report for "The New York Time Presents" (TNYP) in Germany for February 2024, we can see that it had 2.3 times the audience demand of the average show in Germany over the last 30 days. This indicates good demand. TNYP's demand level is among 8.6% of all TV shows in Germany, and this show has higher demand than 97.1% of all documentary titles in Germany. Demand for TNYP increased by 2.6% in Germany in February. All of these are excellent indicators for content valuation. The increase in demand will impact the value of the show, while the percentage of audience demand relative to the average performance of a show in Germany will help determine its value.
Acquisition Decisions: Demand data enables you to assess a TV series' ability to drive subscriptions and mitigate churn. So, it is used in acquisition decisions. In this case, you can determine with demand data how effective TNYP is at driving subscriptions. TNYP ranked second in Germany with good audience demand. This indicates that it could be an acquisition-driving title, therefore leading to an increase in subscribers.
Programming Decisions: Utilizing demand data, you can decide on the genre to focus on to attract new subscribers to your platform. Suppose you're interested in understanding what genres appeal to your current audience. In that case, you can use demand data to determine what genres resonate better. With TNYP's analysis, we can see that it ranked at the 97.1th percentile in the documentary genre, indicating considerable demand. Additionally, by analyzing "Other shows that fans of TNYP also like," you can determine your subscribers' preferred genres and what resonates with them. All of this can inform future programming decisions, program strategies, and what templates are likely to do well for your platform.
Distribution Decisions: With demand data, you can map local whitespace, find new markets, and make informed decisions on content distribution. For TNYP, we can see that it has good demand in Germany, and its demand ranking globally puts it in the 96th percentile. With this information, you can determine the regions that have high demand for the series, which broadcasters may be interested in acquiring the show, or which streaming platform is the best fit for the series from a distribution standpoint.
Subscriber Retention: Using demand data, you can evaluate titles' compatibility with your audience and determine which will help you to retain subscribers. This applies to TNYP, where its demand has increased by 2.6% in Germany in February. By reviewing the content that performs better alongside TNYP, such as "Frontline", "The First 48", and "Silent Witness," you can understand what content will pair well with the series and help keep your audience engaged and subscribed.
In conclusion, Parrot Analytics' demand data system can help in content evaluation, acquisition, programming, distribution, and subscriber retention. It enables strategic decision-making and allocation of resources to areas that will translate into a positive impact for your entertainment business. With TNYP's analysis, we can see that the series has good demand and excellent rank, which makes it a strategic asset for any streaming platform or linear network.
The New York Times Presents's travelability to Germany in the last 30 days is 142%, which means that the audience demand for The New York Times Presents is 142% of the demand in its country of origin, United States. Click through to another market to discover how well The New York Times Presents travels internationally.
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Acquire the best shows from partners such as FX Network to fortify your competitive position in Germany. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. The New York Times Presents), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular FX Network‘s The New York Times Presents 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 FX Network 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 The New York Times Presents, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Documentary Reality), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2:01 p.m. PST using tv demand content analytics from Parrot Analytics for The New York Times Presents in Germany. We provide our partners with comprehensive TV capabilities to help them drive better and more informed content investment strategies. Contact us today to find out more.