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 entertainment executives, you are constantly making decisions about what content to acquire, distribute, produce, or showcase. To make informed decisions about these aspects, demand data is a valuable tool that can provide deep insights into audience preferences and content value. The Jungle Book, a TV series airing from 2010-2019 in 156 episodes, serves as an example of how demand data can be used to aid in decision-making.
Firstly, demand data provides insights into a show's value relative to other titles in the market, and can help you understand content valuation. In the case of The Jungle Book, with 6.4 times the audience demand of the average show in Germany over the last 30 days, and demand increasing by 7.0% in the last 30 days compared to the peak demand of the last year, we can conclude that demand for the show is good and has been on an upward trend lately. In addition, The Jungle Book achieved the 98.4th percentile rank in the family genre in Germany in February, indicating its value and relevance to the family audience in Germany. By leveraging this demand data, the show's worth and value contribution to a platform or streaming service can be better understood, allowing you to make more informed acquisition decisions.
Secondly, demand data can provide insights into the audience's taste clusters and genre preferences, helping you to understand what content is most popular in your target market and what types of content you should aim to produce or acquire. For example, with Pakistan and India ranking as the top two global markets where The Jungle Book is most in-demand in the last 30 days, it can be inferred that the show's appeal lies with audiences in the South Asian region. You can identify other titles that fans of The Jungle Book enjoy, such as My Little Pony: Friendship Is Magic and Hilda, and use similar themes or genres to attract new subscribers to your OTT or SVOD service.
Thirdly, by tapping into demand data, executives can also optimize programming decisions like release strategies, pricing, promotion, and distribution. For example, demand spiked in late February 2024 for The Jungle Book in Germany- this information can be used to strategically schedule promotions to entice viewers for upcoming seasons or releases, ultimately driving subscriptions and mitigating customer churn.
Fourthly, demand data can be used to granularly assess the performance of any content asset - including new productions, library catalog, and international contents. It can also help to understand the potential of the new titles in creating franchises or spin-offs. Additionally, objectively comparing the show's performance during a 30-day period to its audience demand over the entire year using rolling baselines gives you actionable insights that help make informed strategic decisions.
In conclusion, demand data is a powerful tool that can help entertainment executives enhance their content strategy, leading to optimal content decisions. By examining The Jungle Book series' performance in Germany, we have demonstrated how executives can leverage demand to gain insights that can help them make better content acquisition, distribution, and programming decisions. With that being said, Parrot Analytics offers a comprehensive solution based on demand data that can aid executives in their strategic decision-making processes.
The Jungle Book's travelability to Germany in the last 30 days is 38%, which means that the audience demand for The Jungle Book is 38% of the demand in its country of origin, India. Click through to another market to discover how well The Jungle Book travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular zdf‘s The Jungle Book 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 zdf 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 Jungle Book, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. School), using our globally standardized Demand Expressions® metric.
This page has been revised on March 28, 2024, 2:55 a.m. PST using demand analytics from Parrot Analytics for The Jungle Book in Germany. We provide our partners with deep content insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.